Question 1

Both t scores and z scores are considered what type of score?

Accepted Answer

A) standard scores 
B) error scores 
C) average scores 
D) standardized scores 
A) standard scores 
B) error scores 
C) average scores 
D) standardized scores

Question 2

A distribution of scores in which almost the entire class scored very high, but a few students scored fairly low would be ______.

Accepted Answer

A) negatively skewed 
B) positively skewed 
C) unskewed 
D) normally distributed 
A) negatively skewed 
B) positively skewed 
C) unskewed 
D) normally distributed

Question 3

What types of values are most likely to be seen?

Accepted Answer

A) Values very close to the mean 
B) Values very far from the mean 
C) Very high values 
D) Very low values 
A) Values very close to the mean 
B) Values very far from the mean 
C) Very high values 
D) Very low values

Question 4

What do you need to calculate first before calculating skewness?

Accepted Answer

A) mean and median 
B) median and mode 
C) mode and mean 
D) mode and variance 
A) mean and median 
B) median and mode 
C) mode and mean 
D) mode and variance

Question 5

Why are there no pluses and minuses on the z score table?

Accepted Answer

There are no plus or minus sig

Question 6

What you need to calculate first before calculating the kurtosis?

Accepted Answer

A) mean and standard deviation 
B) median and standard deviation 
C) mode and variance 
D) median and variance 
A) mean and standard deviation 
B) median and standard deviation 
C) mode and variance 
D) median and variance

Question 7

If the null hypothesis claims that there is no difference between groups, it assumes the likelihood of this to be _______.

Accepted Answer

A) 0% 
B) 5% 
C) 95% 
D) 100% 
A) 0% 
B) 5% 
C) 95% 
D) 100%

Question 8

A score that is three standard deviations above the mean would have a z score of _______.

Accepted Answer

A) 0 
B) −3 
C) 3 
D) 1 
A) 0 
B) −3 
C) 3 
D) 1

Question 9

_______ of scores fall within three standard deviations of the mean.

Accepted Answer

A) 50% 
B) 95% 
C) 68% 
D) 99.5% 
A) 50% 
B) 95% 
C) 68% 
D) 99.5%

Question 10

The fact that the tails of a normal distribution never touch the horizontal axis relates to the following property: ______.

Accepted Answer

A) symmetrical 
B) asymptotic 
C) equidistant 
D) approximate 
A) symmetrical 
B) asymptotic 
C) equidistant 
D) approximate

Question 11

Which of the following can be used to measure the shape of a distribution?

Accepted Answer

A) mean 
B) mode 
C) kurtosis 
D) median 
A) mean 
B) mode 
C) kurtosis 
D) median

Question 12

What is the t score for a z score of +3?

Accepted Answer

A) 30 
B) 50 
C) 80 
D) 100 
A) 30 
B) 50 
C) 80 
D) 100

Question 13

If a distribution has a mean of 50 and a standard deviation of 25, how many standard deviations is 0 from the mean?

Accepted Answer

A) 2 
B) −2 
C) 0 
D) 5 
A) 2 
B) −2 
C) 0 
D) 5

Question 14

What does a z score of −4 mean?

Accepted Answer

A z score of −4 means that the

Question 15

Kurtosis is used to ______.

Accepted Answer

A) measure the central tendency of the distribution 
B) describe the shape of the distribution 
C) measure the variance in the distribution 
D) describe the range of a distribution 
A) measure the central tendency of the distribution 
B) describe the shape of the distribution 
C) measure the variance in the distribution 
D) describe the range of a distribution

Question 16

What is true of z scores that are equal to the mean?

Accepted Answer

A) They are negative. 
B) They are positive. 
C) They are equal to zero. 
D) They are equal to one. 
A) They are negative. 
B) They are positive. 
C) They are equal to zero. 
D) They are equal to one.

Both t scores and z scores are considered what type of score?

A distribution of scores in which almost the entire class scored very high, but a few students scored fairly low would be ______.

What types of values are most likely to be seen?

What do you need to calculate first before calculating skewness?

Why are there no pluses and minuses on the z score table?

What you need to calculate first before calculating the kurtosis?

If the null hypothesis claims that there is no difference between groups, it assumes the likelihood of this to be _______.

A score that is three standard deviations above the mean would have a z score of _______.

_______ of scores fall within three standard deviations of the mean.

The fact that the tails of a normal distribution never touch the horizontal axis relates to the following property: ______.

Which of the following can be used to measure the shape of a distribution?

What is the t score for a z score of +3?

If a distribution has a mean of 50 and a standard deviation of 25, how many standard deviations is 0 from the mean?

What does a z score of −4 mean?

Kurtosis is used to ______.

What is true of z scores that are equal to the mean?

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Exam 8: Are Your Curves Normal Probability and Why It Counts

Both t scores and z scores are considered what type of score?

A distribution of scores in which almost the entire class scored very high, but a few students scored fairly low would be ______.

What types of values are most likely to be seen?

What do you need to calculate first before calculating skewness?

Why are there no pluses and minuses on the z score table?

What you need to calculate first before calculating the kurtosis?

If the null hypothesis claims that there is no difference between groups, it assumes the likelihood of this to be _______.

A score that is three standard deviations above the mean would have a z score of _______.

_______ of scores fall within three standard deviations of the mean.

The fact that the tails of a normal distribution never touch the horizontal axis relates to the following property: ______.

Which of the following can be used to measure the shape of a distribution?

What is the t score for a z score of +3?

If a distribution has a mean of 50 and a standard deviation of 25, how many standard deviations is 0 from the mean?

What does a z score of −4 mean?

Kurtosis is used to ______.

What is true of z scores that are equal to the mean?

Statistics or Sadistics Its up to You

Means to an End: Computing and Understanding Averages

Vive La Différence: Understanding Variability

A Picture Really Is Worth a Thousand Words

Ice Cream and Crime: Computing Correlation Coefficients

Just the Truth: An Introduction to Understanding Reliability and Validity

Hypotheticals and You: Testing Your Questions

Significantly Significant: What It Means for You and Me

Only the Lonely: The One Sample Z-Test

Tea for Two: Tests Between the Means of Different Groups

Tea for Two Again: Tests Between the Means of Related Groups

Two Groups Too Many Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variancea Brief Introduction

Cousins or Just Good Friends Testing Relationships Using Correlation Coefficient

Predicting Wholl Win the Super Bowl: Using Linear Regression

What to Do When Youre Not Normal: CHI-Square and Some Other Nonparametric Tests

Some Other Important Statistical Procedures You Should Know About

Data Mining: An Introduction to Getting the Most Out of Your Big Data

A Statistical Software Sampler

The Ten or More Best and Most Fun Internet Sites for Statistics Stuff

The Ten Commandments of Data Collection

Filters