Likely to be biased because students are less likely to be enrolled during the Summer term.
Unreliable because surveys are never as good as experiments.
Unreliable because the sample size should be at least 500
Unbiased because SRS was used to get the addresses.
31%
41%
51%
61%
Bar graph
Box plot
Stemplot
Residual plot
Scatter plot
Average dating expenses of students
All BYU Single students
The 50 students selected
All BYU students
The number of single students who spends between $20 to $50 on date
Make inferences about population parameters
Removes sampling variability
Assess cause and effect relationship
Exactly represents the population
10
40
80
100
500
A sample survey based on a simple random sample of single students.
An observational study based on a carefully selected large SRS of single students.
A comparative experiment where each single student is randomly assigned to one of two treatments
A study using single students where the males are given the treatment and the females were given the placebo.
Will be about the same
Will be greater than
Will be less than
Cannot be compared to
Cannot be computed since the balls are such different sizes
Typical distance of the Final scores from their mean was about 10 points
The Finals scores tended to center at 10 points
The range of Final scores is 10
The lowest score is 10
Jeremiah’s score is only 2.5
Only 2.5% of the players scored higher than Jeremiah
Jeremiah’s scoring is 2.5 times the average scoring in the league
Jeremiah’s scoring is 2.5 standard deviations above the average scoring in the league.
Jeremiah’s scoring is 2.5 points above the average scoring in the league
The distribution of the data is skewed to the right
The distribution of the data is skewed to the left
The distribution of the data is symmetric
"mean is less than the median" does not give any information about the shape of the distribution.
2, 3, 4, 5, 6,
301, 304, 306, 308, 311
350, 350, 350, 350, 350
888.5, 888.6, 888.7, 888.9
Changing the unit of measure for x changes the value of r.
The unit measure on r is the same as the unit of measure on y.
R is a useful measure of strength for any relationship between x and y.
Interchanging x and y in the formula leaves the sign the same but changes the value of r.
Where r is close to 1, there is a good evidence that x and y have strong positive linear relationship.
Is important enough that most people would belive it.
Has a large probability (P-value > alpha) of occurring by chance.
Has a small probability (P-value < alpha) of occurring by chance.
Is important enough to make a meaningful contribution to the relevant subject area.
Every observation is an outlier
There is no association between x and y
There is a curved association between x and y
There is a strong positive linear association between x and y
There is a strong negative linear association between x and y
Figure A
Figure B
Figure C
Figure D
None of the above.
On the average, FS increases by about 1.4 units when the Test3 score increases by 1 unit
On the average, TS increases by about 1.4 units when the Final score increases by 1 unit
The correlation between FS and TS is 1.4
The proportion of variation in FS that is explained by the regression model is 1.4
A Type I error has occurred.
Large households attract intelligent people.
A mistake was made, since correlation should be negative.
A lurking variable, such as higher socioeconomic condition, affects the association.
A
B
C
D
Mean
Statistic
Parameter
Margin of error
Know exactly what the value of the sample mean will be.
Specify the probability of obtaining each possible random sample of size n.
Use the standard normal table to compute probabilities about sample means and sample proportions from a large random samples without knowing the distribution of the population.
Determine whether the data are sampled from a population which is normally distributed.
Approximately normal with mean=16 and a standard deviation of 0.5
Approximately normal with mean=16 and a standard deviation of 5
Approximately normal with mean=sample mean and a standard deviation of 0.5
Approximately left skewed with mean=16 and a standard deviation of 5
The standard deviation of the population parameter.
How the population parameter varies with repeated smples.
Whether the sample is from a normal population provided the sample is SRS
The possible values of the statistic and their frequencies from all possible samples.
.2729
.9918
.50
None of the above.
To estimate the level of confidence.
To specify a range for the measurements.
To give a range of plausible values for the population mean.
To determine if the population mean takes on a hypothesized value.
To determine the difference between the sample mean and population mean.
There is a 95% probability that the interval contains x-bar.
The interval contains the value of x-bar with 95% confidence.
95% of the data is contained in the interval.
For 95% of all possible samples, the procedure used to obtain the confidence interval provides an interval containing the population mean
The power of the test.
The probability that Ho is true.
The probability of Type II error.
The probability of Type I error.
The probability of rejecting a false null hypothesis.
0.0082
0.9918
0.5
None of the above.
85.4
95.6
100.5
104.6
2
4
6
8
No, because more than 20% of the components of the chi-square statistic are less than 5.
No, because all expected counts are not whole numbers
Yes, because all expected count are greater than 5
Yes, because n is greater than 30
The proportions of people who are well satisfied financially are not all equal for all educational levels
The proportions of people who are well satisfied financially are the same for all educational levels
There is no evidence of an association between educational level and financial satisfaction
Cannot be determined
A
B
C
D
A
B
C
D
E
Deciding that the incentive does not speed up marriage when the incentive does not actually speed up marriage.
Deciding that the incentive does not speed up marriage when the incentive actually speed up marriage.
Deciding that the incentive does speed up marriage when the incentive does not speed up marriage.
Deciding that the incentive does speed up marriage when the incentive actually speed up marriage.
3.47 to 3.75
2.9 to 4.1
3.34 to 3.73
3.43 to 3.75
Boxplot
Histogram
Stemplot
Bar chart
Scatter plot
Using a confidence level of 90%.
Using a confidence level of 99%.
Using a sample of 100.
Using a different sample of 64.
The probability of failing to reject a true null hypothesis is 0.95.
The probability of rejecting a true null hypothesis is 0.95.
The probability of rejecting a false null hypothesis is 0.95.
The probability of Type I error.
Time spent practicing free-throws
Number of practice sessions
Percentage of free-throws in a game.
Which method of shooting is used.
6
8
12
20
1.92
9.63
24.66
22.8
0.0054
0.9946
0.2623
.0540
NO, the sample size is too small to apply the Central Limit theorem.
NO, the mean of the sampling distribution of x-bar is not equal to the population mean.
YES, the sampling distribution of x-bar is approximately Normal.
YES, the conditions are met to apply the Central Limit Theorem.
Fail to reject Ho: there is not sufficient evidence to conclude that the proportion of NBA players who complete college education is less than 0.60.
Fail to reject Ho: there is sufficient evidence to conclude that the proportion of NBA players who complete college education is less than 0.60.
Reject Ho: there is not sufficient evidence to conclude that the proportion of NBA players who complete college education is less than 0.60.
Reject Ho: there is sufficient evidence to conclude that the proportion of NBA players who complete college education is less than 0.60.
These players have a lot of money so they do need a college education.
A
B
C
D
The New method has a significantly higher mean game scores than the traditional method.
There is insufficient evidence to conclude that the New method has a significantly higher mean free-throw shooting percentage than the traditional method.
The Traditional method has a significantly higher mean free-throw shooting percentage than the New method.
The New method has a significantly higher mean free-throw shooting percentage than the Traditional method.
Decrease the sample size.
Decrease the population standard deviation.
Increase the sample size.
Increase the confidence level.
Decrease the sample size.
Increase the sample size.
Decrease the confidence level.
Decrease the standard deviation.
It is the probability of obtaining a test statistic that has a value at least as extreme as that actually observed, assuming the null hypothesis is true.
It is the probability of obtaining a test statistic that has a value at least as extreme as that actually observed, assuming the null hypothesis is false.
It is the probability of obtaining a test statistic that has a value at least as extreme as that actually observed, assuming the alternative hypothesis is true.
It is the probability of obtaining a parameter that has a value at least as extreme as that actually observed, assuming the null hypothesis is true.
If the survey was conducted over and over again, 95% of the sample proportions will differ from the true proportion by no more than 4%.
If the survey was conducted over and over again, 4% of the sample proportions will differ from the true proportion by no more than 95%.
If the survey was conducted over and over again, 95% of the sample proportions will greater than the true proportion by more than 4%.
FOX News is not Fair and Balance according to ABC News.
ANOVA
A two sample test of proportions.
A two sample test of means.
A matched pairs test
0.0830
0.0228
.10>p-value>.05
.15>p-value>.10
13+-2.064
13+-2.89
13+-2.40
13+-5.37
A
B
C
D
E
A completely randomized block experiment.
An SRS.
A convenience sample.
A stratified sample.
A multistage sample.
To decrease the standard deviation of the sampling distribution of the sample proportion.
To decrease the variation in the population.
To reduce the interviewer effect.
To reduce non-response bias.
To reduce confounding effects.
A completely randomized experiment.
A randomized block experiment.
A matched pairs experiment.
An observational study.
A stratified sample.
To do double blind experimetn.
To increase accuracy of the results.
To make the experiment realistic.
To help avoid selection bias.
The sum of the residuals is minimized.
The sum of the residuals is optimized.
The sum of the squared residuals is minimized.
The sum of the deviations is small as possible.
The sum of the residuals equals to zero.
Variation associated with the blocking variable is removed.
Blocking is more accurate than the completely randomized design.
Blocking increases the precision of the experiment.
Blocking removes selection bias.
Blocking is illegal in basketball but not in football.
55
56
57
58
59
A one sample z-test for mean
A one sample t-test for mean
A two sample z-test for means
A two sample t-test for means
A matched pairs t-test for means
Only 2% of the BYU married students spend more on a date than the BYU single students.
The probability that the average expenses for a date for married BYU students is lower than those of the BYU single students is only 0.02.
The probability that the average expenses for a date for married BYU students is higher than those of the BYU single students is only 0.98.
If there were no difference in average expenses for a date between married and single students, the probability of observing a sample difference in average expenses for a date between the two groups is at least as large as that which was actually obtained, is only 0.02.
The probability that Ho is true is 0.02.
8.2%
59.9%
76.5%
87.5%
96.3%
<0.0001
0.0823
0.5992
0.8749
0.9634
A
B
C
D
E
0.96+-0.171
0.96+-0.271
0.69+-0.171
0.69+-0.271
0.69+-0.371
The 95% prediction interval is not comparable to the 95% confidence interval.
The 95% prediction interval is the same as the 95% confidence interval.
The 95% prediction interval is wider than the 95% confidence interval.
The 95% prediction interval is narrower than the 95% confidence interval.
A confidence interval for the mean jaw width of newly born sharks.
A confidence interval for the slope of the regression line.
A confidence interval for the y-intercept of the regression line.
A prediction interval for the jaw width of a newly born shark.
15.1 inches
25.1 inches
35.1 inches
45.1 inches
55.1 inches
Player's attitudes toward gambling restrictions are associated with which division they play.
Player's attitudes toward gambling restrictions are NOT associated with which division they play.
Player's attitudes toward gambling restrictions are NOT correlated with which division they play.
Player's attitudes toward gambling restrictions are linearly correlated with which division they play.
Professional basketball players are role models. Therefore they should not gamble.
The standard deviation of the sampling distribution of the sample mean.
The standard deviation of the sample mean.
The mean of the sampling distribution of the sample mean.
The standard deviation of the population.
Because both np and n(1-p) are 10 or more.
Because both np and n(1-p) are 5 or more.
Because np is 10 or more.
Because n(1-p) are 10 or more.
Because bluray discs have high quality.
It is the distribution of sample proportions based on all samples of size n from a population.
It is the distribution of population proportions based on all samples of size n from a population.
It is the distribution of sample standard deviations based on all samples of size n from a population.
It is the distribution of sample standard deviations based on all samples of size n from a population.
It is the distribution of sample means based on all samples of size n from a population.
3.6
6.3
-2.6
-3.6
-6.3
When the result has a large probability of occurring by chance.
When the result has a small probability of occurring by chance.
When it is practically significant.
When the result is meaningful.
When the result is consistent with our expectation.
Yes, because an experiment was conducted.
Yes, because the proportion of swine flu victims who received the Terraflu and developed serious effect is significantly greater than those who did not receive the Terraflu.
No, because the result is not statistically significant.
No, because the experiment did not have double blind.
600
601
422
423
1037
The The data has outliers.
The data is very skewed.
There are no outliers nor strong skewness in the data
Cannot be determined.
ANOVA
Chi-square test for independence
Correlation
Two-sample proportion z test
Two-sample t test for means
A
B
C
D
E
A
B
C
D
E
A
B
C
D
E
A
B
C
D
E
True
False
True
False
True
False
True
False
True
False
True
False
True
False
True
False
True
False