Language Of Data Baseline Assessment
This is a timed assessment.
- 1.
Which term is represented by the "" symbol?
- A.
Proportion
- B.
Average percent
- C.
Mean percent
- D.
Probability of the percent
Correct Answer
A. ProportionExplanation
The term represented by the "" symbol is proportion.Rate this question:
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- 2.
Which symbol represents probability?
- A.
P
- B.
M
- C.
|
- D.
N
Correct Answer
A. PExplanation
The symbol "p" represents probability. In probability theory, "p" is commonly used to denote the probability of an event occurring. It is a standard notation that is widely recognized and understood in the field of probability and statistics.Rate this question:
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- 3.
Which symbol represents a t-test?
- A.
T
- B.
M
- C.
P
- D.
N
Correct Answer
A. TExplanation
The symbol "t" represents a t-test. A t-test is a statistical test used to determine if there is a significant difference between the means of two groups. It is commonly used when the sample size is small and the population standard deviation is unknown. The t-test compares the t-value, calculated from the sample data, to a critical value to determine if the difference between the means is statistically significant. Therefore, the symbol "t" is associated with the t-test.Rate this question:
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- 4.
Which symbol represents confidence interval?
- A.
CI
- B.
β
- C.
95%
- D.
Z
Correct Answer
A. CIExplanation
The symbol "CI" represents confidence interval. It is commonly used in statistics to indicate the range of values within which a population parameter is estimated to lie. The confidence interval provides a measure of the uncertainty associated with the estimate, with a higher confidence level indicating a wider interval. In this case, "CI" is the correct answer as it specifically represents confidence interval.Rate this question:
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- 5.
Which symbol represents given that?
- A.
|
- B.
∑
- C.
M
- D.
G-T
Correct Answer
A. |Explanation
The symbol that represents "given that" is "|". This symbol is commonly used in mathematics and probability to indicate that a certain event or condition is given or assumed to be true. It is used to separate the given information from the desired outcome or result.Rate this question:
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- 6.
Which symbol represents correlation?
- A.
R
- B.
|
- C.
X
- D.
∞
Correct Answer
A. RExplanation
The symbol "r" represents correlation. Correlation is a statistical measure that describes the strength and direction of a relationship between two variables. The symbol "r" is commonly used to represent the correlation coefficient, which is a numerical value that ranges from -1 to +1. A positive value indicates a positive correlation, meaning that as one variable increases, the other variable also tends to increase. A negative value indicates a negative correlation, meaning that as one variable increases, the other variable tends to decrease. The symbol "r" is used to quantify the degree of correlation between the variables.Rate this question:
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- 7.
Which symbol represents mean?
- A.
![Language Of Data Baseline Assessment - Quiz]()
- B.
M
- C.
N
- D.
T
Correct Answer
A.Explanation
The symbol that represents mean is "M".Rate this question:
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- 8.
Which symbol represents alpha?
- A.
![Language Of Data Baseline Assessment - Quiz]()
- B.
![Language Of Data Baseline Assessment - Quiz]()
- C.
A
- D.
Ha
Correct Answer
A.Explanation
The symbol that represents alpha is "A".Rate this question:
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- 9.
Which symbol represents proportion?
- A.
![Language Of Data Baseline Assessment - Quiz]()
- B.
![Language Of Data Baseline Assessment - Quiz]()
- C.
![Language Of Data Baseline Assessment - Quiz]()
- D.
95%CI
Correct Answer
A.Explanation
The symbol "CI" in "95%CI" represents confidence interval, which is a range of values that is likely to contain the true population parameter. In this case, the confidence interval represents the proportion of the population with a certain characteristic or attribute. Therefore, the symbol "CI" represents proportion in this context.Rate this question:
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- 10.
Which symbol represents beta?
- A.
![Language Of Data Baseline Assessment - Quiz]()
- B.
![Language Of Data Baseline Assessment - Quiz]()
- C.
![Language Of Data Baseline Assessment - Quiz]()
- D.
![Language Of Data Baseline Assessment - Quiz]()
Correct Answer
A. -
- 11.
Which symbol represents z-score?
- A.
Z
- B.
P
- C.
/zeta/
- D.
|
Correct Answer
A. ZExplanation
The symbol "z" represents the z-score.Rate this question:
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- 12.
Which symbol represents number of members?
- A.
N
- B.
R
- C.
No.
- D.
OR
Correct Answer
A. NExplanation
The symbol "n" represents the number of members.Rate this question:
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- 13.
Which symbol represents alternative hypothesis?
- A.
![Language Of Data Baseline Assessment - Quiz]()
- B.
![Language Of Data Baseline Assessment - Quiz]()
- C.
![Language Of Data Baseline Assessment - Quiz]()
- D.
![Language Of Data Baseline Assessment - Quiz]()
Correct Answer
A.Explanation
The symbol that represents the alternative hypothesis is denoted by "Ha". The alternative hypothesis is a statement that contradicts or opposes the null hypothesis and suggests that there is a significant difference or relationship between variables. It is typically used in hypothesis testing to determine if there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis.Rate this question:
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- 14.
Which symbol represents odds ratio?
- A.
OR
- B.
>odds
- C.
R
- D.
CI
Correct Answer
A. ORExplanation
The symbol "OR" represents odds ratio. The odds ratio is a measure of the strength and direction of the association between two variables in a case-control or cohort study. It compares the odds of an event occurring in one group to the odds of the event occurring in another group. The OR value indicates whether the odds are higher or lower in one group compared to the other, and it helps in understanding the relationship between variables.Rate this question:
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- 15.
Which symbol represents median?
- A.
M
- B.
![Language Of Data Baseline Assessment - Quiz]()
- C.
![Language Of Data Baseline Assessment - Quiz]()
- D.
Mid.
Correct Answer
A. MExplanation
The symbol "M" represents median. The term "mid" also refers to the median. The median is a statistical measure that represents the middle value in a set of data when arranged in order.Rate this question:
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- 16.
Which symbol represents standard deviation?
- A.
SD
- B.
P
- C.
X | y
- D.
![Language Of Data Baseline Assessment - Quiz]()
Correct Answer
A. SDExplanation
The symbol "SD" represents standard deviation. Standard deviation is a measure of the dispersion or variability of a set of data values. It indicates how spread out the values are from the mean. The symbol "SD" is commonly used in statistical calculations and represents the standard deviation of a population or a sample.Rate this question:
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- 17.
Which symbol represents null hypothesis?
- A.
![Language Of Data Baseline Assessment - Quiz]()
- B.
![Language Of Data Baseline Assessment - Quiz]()
- C.
![Language Of Data Baseline Assessment - Quiz]()
- D.
![Language Of Data Baseline Assessment - Quiz]()
Correct Answer
A.Explanation
The symbol that represents the null hypothesis is "H0". The null hypothesis is a statement that assumes there is no significant difference or relationship between variables. It is often denoted by "H0" in statistical analysis and hypothesis testing.Rate this question:
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- 18.
Which symbol represents chi square?
- A.
![Language Of Data Baseline Assessment - Quiz]()
- B.
Chi-X
- C.
![Language Of Data Baseline Assessment - Quiz]()
- D.
2X
Correct Answer
A.Explanation
The symbol that represents chi square is 2X. Chi square is a statistical test used to determine if there is a significant difference between observed and expected frequencies in categorical data. The symbol 2X is commonly used to represent chi square in mathematical equations and statistical analyses.Rate this question:
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- 19.
Which term is represented by the "α" symbol?
- A.
Alpha
- B.
Beta
- C.
Median
- D.
Mean
Correct Answer
A. AlphaExplanation
The term represented by the symbol "α" is Alpha.Rate this question:
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- 20.
Which term is represented by the "SD" symbol?
- A.
Standard Deviation
- B.
Summed Difference
- C.
Standard DIfference
- D.
Summed Deviation
Correct Answer
A. Standard DeviationExplanation
The term represented by the "SD" symbol is Standard Deviation. This statistical measure is used to quantify the amount of variation or dispersion in a set of data values. It provides information about how spread out the data is from the mean. Standard Deviation is calculated by taking the square root of the variance.Rate this question:
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- 21.
Which term is represented by the "" symbol?
- A.
Chi square
- B.
Odds ratio
- C.
Squared difference
- D.
Alternative hypothesis
Correct Answer
A. Chi squareExplanation
The term represented by the "" symbol is Chi square.Rate this question:
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- 22.
Which term is represented by the "" symbol?
- A.
Null Hypothesis
- B.
Empty set
- C.
Null Difference
- D.
Alternative hypothesis
Correct Answer
A. Null HypothesisExplanation
The term represented by the "" symbol is the Null Hypothesis. In statistical hypothesis testing, the null hypothesis is a statement that assumes there is no significant difference or relationship between variables. It is often denoted by the symbol "" and is the hypothesis that researchers aim to reject in order to support an alternative hypothesis. The null hypothesis serves as a baseline or default assumption until evidence is found to suggest otherwise.Rate this question:
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- 23.
Which term is represented by the "" symbol?
- A.
Alternative hypothesis
- B.
Null hypothesis
- C.
Half sample
- D.
Correlation alternative
Correct Answer
A. Alternative hypothesisExplanation
The term represented by the "" symbol is the alternative hypothesis. In hypothesis testing, the alternative hypothesis is the statement that contradicts or opposes the null hypothesis. It represents the researcher's belief or claim about the population parameter being tested. The null hypothesis, on the other hand, assumes no significant difference or relationship between variables. The "" symbol is commonly used to denote the alternative hypothesis in statistical notation.Rate this question:
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- 24.
Which term is represented by the "OR" symbol?
- A.
Odds Ratio
- B.
Given That
- C.
Option Reverse
- D.
Ordinal Range
Correct Answer
A. Odds RatioExplanation
The term represented by the "OR" symbol is Odds Ratio.Rate this question:
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- 25.
Which term is represented by the "n" symbol?
- A.
Number of members
- B.
Needs analysis
- C.
Net summary
- D.
Null
Correct Answer
A. Number of membersExplanation
The "n" symbol represents the term "number of members."Rate this question:
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- 26.
Which term is represented by the "CI" symbol?
- A.
Confidence Interval
- B.
Coincidence given that
- C.
Coincidence (not probability)
- D.
Correlation interval
Correct Answer
A. Confidence IntervalExplanation
The term represented by the "CI" symbol is Confidence Interval. A confidence interval is a range of values that is used to estimate an unknown population parameter with a certain level of confidence. It provides a measure of the uncertainty or variability associated with the estimate.Rate this question:
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- 27.
Which term is represented by the "p" symbol?
- A.
Probabilty
- B.
Percent
- C.
Percentage
- D.
Person(s)
Correct Answer
A. ProbabiltyExplanation
The term represented by the "p" symbol is probability. Probability is a measure of the likelihood of an event occurring. It is often represented by the letter "p" in mathematical equations and formulas.Rate this question:
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- 28.
Which term is represented by the "" symbol?
- A.
Mean
- B.
Chi Square
- C.
Median
- D.
Without significance
Correct Answer
A. MeanExplanation
The symbol "" is commonly used to represent the mean in statistics. The mean is the average value of a set of numbers, calculated by adding up all the values and dividing by the total number of values. In this case, the correct answer is "Mean" because the symbol "" is typically used to denote the mean in statistical notation.Rate this question:
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- 29.
Which term is represented by the "z" symbol?
- A.
Z-score
- B.
Alpha
- C.
Sample end
- D.
Alpha minus probability
Correct Answer
A. Z-scoreExplanation
The term represented by the "z" symbol is the z-score. The z-score is a statistical measurement that describes the position of a raw score in terms of its distance from the mean of a group of scores. It tells us how many standard deviations a particular data point is from the mean. The z-score is often used in hypothesis testing, as well as in determining the probability of a particular value occurring within a distribution.Rate this question:
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- 30.
Which term is represented by the "M" symbol?
- A.
Median
- B.
Mean
- C.
Mode
- D.
Margin (error margin)
Correct Answer
A. MedianExplanation
The "M" symbol represents the term "Median." Median is a statistical measure that represents the middle value in a set of data when it is arranged in ascending or descending order. It is commonly used to describe the central tendency of a data set and is less affected by extreme values compared to the mean.Rate this question:
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- 31.
Which term is represented by the "t" symbol?
- A.
T-test
- B.
Timed-test
- C.
T-interval
- D.
Average t time
Correct Answer
A. T-testExplanation
The term represented by the "t" symbol is a t-test. A t-test is a statistical test used to determine if there is a significant difference between the means of two groups. It is commonly used when comparing the means of a sample to a known population mean or when comparing the means of two independent samples. The "t" symbol in this context refers to the t-distribution, which is used in calculating the test statistic for the t-test.Rate this question:
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- 32.
Which term is represented by the "" symbol?
- A.
Beta
- B.
Begin analysis
- C.
Chi-square
- D.
Standard Deviation of Probabiity
Correct Answer
A. BetaExplanation
The term represented by the "" symbol is Beta.Rate this question:
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- 33.
Which term is represented by the "r" symbol?
- A.
Correlation
- B.
Repeated test
- C.
Registered number of members
- D.
Ratio of the odds
Correct Answer
A. CorrelationExplanation
The term represented by the "r" symbol is correlation. Correlation measures the relationship between two variables and is often represented by the letter "r" in statistics. It indicates the strength and direction of the relationship, with values ranging from -1 to +1. A positive value indicates a positive relationship, a negative value indicates a negative relationship, and a value close to zero indicates no relationship.Rate this question:
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- 34.
Which term is represented by the "" symbol?
- A.
Proportion
- B.
Average percent
- C.
Mean percent
- D.
Probability of the percent
Correct Answer
A. ProportionExplanation
The term represented by the "" symbol is proportion.Rate this question:
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- 35.
Which of the following is a correct definition for "p-value"?
- A.
Describes the probability that an observed effect occurred by chance alone
- B.
Obtained by dividing the sum of observed values by the number of observations
- C.
Indicates how close the entire set of data is to the average value
- D.
The percentage of the population that has the characteristics in question
Correct Answer
A. Describes the probability that an observed effect occurred by chance aloneExplanation
The correct answer is "Describes the probability that an observed effect occurred by chance alone." This definition accurately describes the concept of p-value, which is a statistical measure used in hypothesis testing. The p-value represents the probability of obtaining a result as extreme or more extreme than the observed result, assuming that the null hypothesis is true. A low p-value indicates that the observed effect is unlikely to have occurred by chance, leading to the rejection of the null hypothesis.Rate this question:
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- 36.
Which of the following is a correct definition for the term "null hypothesis"?
- A.
A hypothesis that the effect of the intervention to the desired outcome is zero(no effect)
- B.
An indication of how many standard deviations an observation is from the mean
- C.
The statement of what a statistical hypothesis test is set up to establish
- D.
The percentage of the population that has the characteristics in question
Correct Answer
A. A hypothesis that the effect of the intervention to the desired outcome is zero(no effect)Explanation
The term "null hypothesis" refers to a hypothesis that states there is no effect or relationship between variables. In other words, it assumes that the intervention being tested has no impact on the desired outcome. This hypothesis is often used as a starting point for statistical hypothesis testing, where the goal is to either reject or fail to reject the null hypothesis based on the evidence and data collected.Rate this question:
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- 37.
Which of the following is a correct definition for the term "alpha"?
- A.
The level of significance; describes how extreme observed results must be in order to reject the null hypothesis (that the observed effect occurred by chance alone)
- B.
A value obtained by dividing the sum of observed values by the number of observations
- C.
The statement of what a statistical hypothesis test is set up to establish
- D.
The range of possible values for which the results of the real effect are still true
Correct Answer
A. The level of significance; describes how extreme observed results must be in order to reject the null hypothesis (that the observed effect occurred by chance alone)Explanation
The term "alpha" refers to the level of significance in hypothesis testing. It represents the threshold for determining whether the observed results are extreme enough to reject the null hypothesis. In other words, it determines the probability of making a Type I error (rejecting the null hypothesis when it is actually true). A lower alpha value indicates a stricter criterion for rejecting the null hypothesis, while a higher alpha value allows for a greater chance of rejecting the null hypothesis.Rate this question:
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- 38.
Which of the following is a correct definition for the term "beta"?
- A.
The "weight" or contribution that a single variable makes to the overall model
- B.
Indicates how close the entire set of data is to the average value
- C.
The degree of relationship between two variables
- D.
The percentage of the population that has the characteristics in question
Correct Answer
A. The "weight" or contribution that a single variable makes to the overall modelExplanation
The term "beta" refers to the weight or contribution that a single variable makes to the overall model. This means that beta represents the impact or influence of a specific variable on the model's outcome. It helps in understanding the relative importance of different variables in the model and their effect on the overall result.Rate this question:
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- 39.
Which of the following is a correct definition for the term "correlation"?
- A.
The degree of relationship between two variables
- B.
Number of members of a sample
- C.
The percentage of the population that has the characteristics in question
- D.
A test of independence of groups
Correct Answer
A. The degree of relationship between two variablesExplanation
The correct answer is the degree of relationship between two variables. Correlation measures the strength and direction of the relationship between two variables. It indicates how closely the variables are related to each other.Rate this question:
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- 40.
Which of the following is a correct definition for the term "t-test"?
- A.
A statistical test used to determine whether two mean values are significantly different
- B.
A statistical test obtained by dividing the sum of observed values by the number of observations
- C.
A statistical test of the number of samples in a proportion
- D.
A statistical test used to determine the correlation between two variables
Correct Answer
A. A statistical test used to determine whether two mean values are significantly differentExplanation
The correct answer is "A statistical test used to determine whether two mean values are significantly different." This definition accurately describes what a t-test is. A t-test is a statistical test that is used to compare the means of two groups and determine if they are significantly different from each other. It is commonly used in hypothesis testing and can help researchers make conclusions about the population based on sample data.Rate this question:
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- 41.
Which of the following is a correct definition for the term "chi-square test"?
- A.
A test of independence of groups.
- B.
The degree of relationship between two variables.
- C.
An indication of how close the entire set of data is to the average value.
- D.
A statistical expression for the squared number of members in a sample mean.
Correct Answer
A. A test of independence of groups.Explanation
The correct definition for the term "chi-square test" is a test of independence of groups. This statistical test is used to determine if there is a relationship between two categorical variables. It compares the observed frequencies in each category with the expected frequencies under the assumption of independence. If the calculated chi-square value is significant, it indicates that there is a significant relationship between the variables.Rate this question:
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- 42.
Which of the following is a correct definition for the term "confidence interval"?
- A.
The range of possible values for which the results of the real effect are still true.
- B.
The range of possible values for which the mean number of values in a proportional sample.
- C.
The period of time during which the statistician is confident that the p-value holds true.
- D.
The period of time after publication of a manuscript during which the results are considered statistically significant.
Correct Answer
A. The range of possible values for which the results of the real effect are still true.Explanation
A confidence interval is a range of values within which the true population parameter is estimated to lie with a certain level of confidence. It provides a measure of the uncertainty associated with a statistical estimate. In this case, the correct definition states that a confidence interval is the range of possible values for which the results of the real effect are still true, meaning that the true population parameter is likely to fall within this range.Rate this question:
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- 43.
Which of the following is a correct definition for the term "odds ratio"?
- A.
The odds that an outcome will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposure
- B.
An indication of how close the entire set of data is to the average value.
- C.
The percentage of time (expressed as a ratio) during which the p-value is unusual.
- D.
The odds that a difference in two equally proportional ratios is statistically significant.
Correct Answer
A. The odds that an outcome will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposureExplanation
The term "odds ratio" refers to the comparison between the odds of an outcome occurring given a specific exposure and the odds of the outcome happening in the absence of that exposure. It is a measure used in statistics to assess the association between an exposure and an outcome. By comparing the odds, we can determine the likelihood of the outcome happening with and without the exposure, allowing us to understand the impact of the exposure on the outcome.Rate this question:
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- 44.
Which of the following is a correct definition for the term "alternative hypothesis"?
- A.
The statement of what a statistical hypothesis test is set up to establish.
- B.
The statistician's suggestion for changing the hypothesis to derive a significant p-value.
- C.
An indication of the number of members in a sample needed to establish statistical significance.
- D.
A statistically insignificant p-value (p > .50).
Correct Answer
A. The statement of what a statistical hypothesis test is set up to establish.Explanation
The term "alternative hypothesis" refers to the statement of what a statistical hypothesis test is set up to establish. In hypothesis testing, there are two competing hypotheses: the null hypothesis and the alternative hypothesis. The null hypothesis represents the default position or the absence of an effect, while the alternative hypothesis represents the researcher's belief or expectation about the presence of an effect. The alternative hypothesis is what the statistical hypothesis test aims to support or provide evidence for.Rate this question:
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- 45.
Which of the following is a correct definition for the term "n"?
- A.
The number of members in a sample.
- B.
The number of samples.
- C.
The number of mean values required for statistical significance.
- D.
The value nearest the mean.
Correct Answer
A. The number of members in a sample.Explanation
The correct definition for the term "n" is the number of members in a sample. In statistics, "n" represents the sample size, which refers to the number of individuals or observations included in a particular study or analysis. This value is important as it helps determine the representativeness and reliability of the data collected from the sample. A larger sample size generally leads to more accurate and precise results.Rate this question:
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- 46.
Which of the following is a correct definition for the term "mean"?
- A.
The value obtained by dividing the sum of observed values by the number of observations.
- B.
The value used to determine whether two mean values are significantly different.
- C.
The value closest to the middle in a range of probabilities.
- D.
The value obtained by dividing the median by the number of samples.
Correct Answer
A. The value obtained by dividing the sum of observed values by the number of observations.Explanation
The correct definition for the term "mean" is the value obtained by dividing the sum of observed values by the number of observations. This is the most commonly used measure of central tendency and provides the average value of a set of data. It is calculated by adding up all the values and then dividing by the total number of values.Rate this question:
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- 47.
Which of the following is a correct definition for the term "median-value"?
- A.
The middle value in a dataset.
- B.
The middle range difference between to mean values.
- C.
The average number of observations in a sample.
- D.
An indication (statistical expression) for how close a value is to the average of all values.
Correct Answer
A. The middle value in a dataset.Explanation
The term "median-value" refers to the middle value in a dataset. This means that if the dataset is arranged in ascending or descending order, the median-value would be the value that falls exactly in the middle. It is different from the mean, which is the average of all values in the dataset. The median is a useful measure of central tendency, especially in cases where there are outliers or extreme values that can skew the mean.Rate this question:
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- 48.
Which of the following is a correct definition for the term "standard deviation"?
- A.
An indication of how close the entire set of data is to the average value.
- B.
The degree of relationship between two variables.
- C.
The standard error of the mean averaged across a statistically significant difference.
- D.
A person who has abnormal intelligence, but can still function well in society (e.g., a statistician).
Correct Answer
A. An indication of how close the entire set of data is to the average value.Explanation
Standard deviation is a measure of how spread out the data points in a data set are around the mean. It provides an indication of the variability or dispersion of the data. A higher standard deviation indicates that the data points are more spread out from the mean, while a lower standard deviation indicates that the data points are closer to the mean. Therefore, the correct definition for standard deviation is that it is an indication of how close the entire set of data is to the average value.Rate this question:
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- 49.
Which of the following is a correct definition for the term "proportion"?
- A.
The percentage of the population that has the characteristics in question.
- B.
An indication of how close the entire set of data is to the average value.
- C.
The average number of members in a sample who represent a specific population.
- D.
A statement of what the statistical hypothesis is set up to establish.
Correct Answer
A. The percentage of the population that has the characteristics in question.Explanation
The term "proportion" refers to the percentage of the population that has the characteristics in question. This definition implies that proportion is a measure of the relative size or quantity of a specific attribute within a population. It does not refer to the overall closeness of data to the average value, the average number of members in a sample representing a population, or the statement of a statistical hypothesis.Rate this question:
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- 50.
Which of the following is a correct definition for the term "z-score"?
- A.
An indication of how many standard deviations an observation is from the mean.
- B.
The degree of relationship between two variables.
- C.
The mean value of the product for x divided by y.
- D.
An indication of how close the mean is to the median.
Correct Answer
A. An indication of how many standard deviations an observation is from the mean.Explanation
A z-score is a statistical measurement that describes a value's relationship to the mean of a group of values. It indicates how many standard deviations an observation is from the mean. A positive z-score means the observation is above the mean, while a negative z-score means it is below the mean. The magnitude of the z-score indicates the distance from the mean in terms of standard deviations. Therefore, the correct definition for the term "z-score" is that it is an indication of how many standard deviations an observation is from the mean.Rate this question:
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