# Statistics Hardest Practice Quiz! Trivia Test

44 Questions | Total Attempts: 314  Settings  .

• 1.
Statistics is the study of _____________.
• A.

Testing and interpreting statistical hypotheses about a relationship

• B.

Mathematical analysis using samples instead of populations

• C.

Summarizing, analyzing, or drawing inferences about a relationship

• D.

Inferring something about a population from a sample

• 2.
Which of the following is not a variable?
• A.

Personal fantasies

• B.

The final score of the Yankees game on 10/17/09

• C.

Body temperatures of people who are NOT sick

• D.

Age

• 3.
Why is it important to record demographics?
• A.

Different populations act differently

• B.

The IRB mandates it for studies conducted

• C.

There's no way to tell if you're measuring a consistent estimator

• D.

There's no way to tell if you're measuring a sufficient estimator

• 4.
How is an ordinal variable more detailed than a nominal variable?
• A.

0 means the total absence of the variable

• B.

The categories are qualitative groupings

• C.

The categories possess value

• D.

The distance between the categories is equal

• 5.
How is a ratio variable more detailed than an interval variable?
• A.

0 means the total absence of the variable

• B.

The categories are qualitative groupings

• C.

The categories possess value

• D.

The distance between the categories is equal

• 6.
What kind of variable is a person's height?
• A.

Discrete

• B.

Continuous

• C.

Ungrouped

• D.

Grouped

• 7.
What kind of frequency distribution is the above?
• A.

Ungrouped frequency distribution

• B.

Grouped frequency distribution

• C.

Relative frequency distribution

• D.

Cumulative frequency distribution

• 8.
What kind of frequency distribution is the above?
• A.

Ungrouped frequency distribution

• B.

Grouped frequency distribution

• C.

Relative frequency distribution

• D.

Cumulative frequency distribution

• 9.
What would a stem and leaf plot look like for:10, 11, 13, 13, 21, 31, 36
• A.

10, 11, 13, 13 21 31, 36

• B.

1 | 0, 1, 3, 3 2 | 1 3 | 1, 6

• C.

10s X X X X 20s X 30s XX

• D.

10s+ XXXX 20s+ XXXXX 30s+ XXXXXXX

• 10.
In a positively skewed distribution, ____________.
• A.

The bulk of the scores are on the left side

• B.

The bulk of the scores are on the right side

• 11.
Kurtosis is the measure of ______________.
• A.

The amount that the peak is shifted positively or negatively

• B.

The shape of the distribution's peak

• C.

Whether the distribution has enough scores (N)

• D.

The cumulative relative frequency

• 12.
B would be described as being ___________.
• A.

Mezokurtic

• B.

Hypokurtic

• C.

Platykurtic

• D.

Leptokurtic

• 13.
A would be described as _______________.
• A.

Mezokurtic

• B.

Hypokurtic

• C.

Platykurtic

• D.

Leptokurtic

• 14.
The mode is an especially poor choice of measuring central tendency when ___________.
• A.

The distribution is bimodal

• B.

The distribution is heavily positively skewed

• C.

The distribution is leptokurtic

• D.

The distribution is a normal curve

• 15.
The median is a better choice of measuring central tendency than the mean when _____________.
• A.

The distribution is bimodal

• B.

The distribution is heavily positively skewed

• C.

The distribution is leptokurtic

• D.

The distribution is a normal curve

• 16.
The sum of deviations [ Summation (X-Xbar)] is always equal to ____________.
• A.

The mean

• B.

The median

• C.

0

• D.

It's possible for it to be different every time

• 17.
In which of the following situations would just providing the mean without also providing variability be bad?
• A.

Giving the mean number of meters a guided missile lands from the target but not the variability

• B.

Giving the mean amount of IQ increase seen in children in a single year but not the variability

• C.

Giving the mean number of crimes committed by a demographic but not the variability

• D.

All of the above

• 18.
___________ is the measure of variability most affected by outlier scores.
• A.

Range

• B.

Interquartile range

• C.

Variance

• D.

Standard deviation

• 19.
When calculating variance for a sample, we use the following formula:Sum of Squares / (N-1)What benefit is there to subtracting 1?
• A.

Makes sure studies cannot be done with case studies (N=1)

• B.

The lower the number of participants, the more the -1 increases sample variability

• C.

If we don't subtract 1, the sum of deviations won't equal 0

• D.

Subtracting 1 makes the distribution appear more normal like

• 20.
Why do we use standard deviation instead of variance?
• A.

Standard deviation takes into account the N of the sample

• B.

Standard deviation is less susceptible to outlier scores than the variance.

• C.

Standard deviation has the same scale of measurement as the mean

• D.

Standard deviation takes into account degrees of freedom of the sample

• 21.
Which of the following is not a requirement of a perfect normal distribution?
• A.

Identical mean, median, and mode

• B.

Asymptotic distribution

• C.

Has a standard deviation of 1.

• D.

Has range of negative infinity to positive infinity

• 22.
Which of the following is not true of standard normal distributions?
• A.

Standard deviation = 1

• B.

Mean = 0

• C.

Easier to compare values across variables

• D.

Converting scores to a standard normal distribution turns the distribution into a perfect normal distribution

• 23.
If I were to look at the scores on a test from a single classroom and assume the findings apply to the whole school, I would be using ___________.
• A.

Descriptive statistics

• B.

Inferential statistics

• C.

Sample statistics

• D.

Population statistics

• 24.
Which of the following is true?
• A.

All consistent estimators are unbiased estimators

• B.

All unbiased estimators are consistent estimators

• C.

Not all biased estimators are consistent estimators

• D.

Consistent estimators are never biased estimators

• 25.
Which of these is the crappiest type of sampling?
• A.

Snowball sampling

• B.

Convenience sampling

• C.

Random sampling

• D.

Stratified random sampling

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