Question 1

z scores from two different score distributions are comparable only if

Accepted Answer

A)  the means and standard deviations are equal 
B)  the numbers of cases are approximately the same 
C)  the reference groups are equivalent 
D)  all of the above 
A)  the means and standard deviations are equal 
B)  the numbers of cases are approximately the same 
C)  the reference groups are equivalent 
D)  all of the above C

Question 2

A z score in a given distribution is -2. If the mean of the distribution is 40, the equivalent raw score

Accepted Answer

A)  is 38 
B)  is 20 
C)  lies above 40 
D)  cannot be determined without further information 
A)  is 38 
B)  is 20 
C)  lies above 40 
D)  cannot be determined without further information D

Question 3

The standard deviation of a population is

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)    C

Question 4

The mean for a large group of ninth graders on a standard social studies test is 87.2. Jane obtains a score of 93.(a)How would you describe her performance?(b)Suppose SX = 25.1. Now how would you describe her performance?(c)Suppose SX = 2.1. Now how would you describe her performance?

Accepted Answer

(a)above the mean
(b)"average"

Question 5

The mean score on a quiz is 7 and the standard deviation is 0. This shows that

Accepted Answer

A)  the range is 7 
B)  the distribution is normal 
C)  the variance is also 7 
D)  all persons scored 7 
A)  the range is 7 
B)  the distribution is normal 
C)  the variance is also 7 
D)  all persons scored 7

Question 6

(a) After the mean, median, range, Q, and SX of a set of 40 scores are computed, the researcher finds that the highest score is in error and should be even higher. Which of the above statistics will be affected by the correction? Explain.(b)He also learns that one of the scores just below the median should be slightly lower. Which of the above statistics would be affected by this correction? Explain.

Accepted Answer

(a)@#LAT-DLM& range, and S_X will be affected; @#LAT-DLM& and

Question 7

For the two scores 2 and 4, ($\Sigma$X)2

Accepted Answer

A)  2 
B)  6 
C)  20 
D)  36 
A)  2 
B)  6 
C)  20 
D)  36

Question 8

Three scores in a distribution are 20, 25, and 35. The z-score equivalents of the first two are, respectively, -1 and -1/2. The z-score equivalent of the third score

Accepted Answer

A)  is 0 
B)  is -1/2 
C)  is +1 
D)  cannot be determined from the above information 
A)  is 0 
B)  is -1/2 
C)  is +1 
D)  cannot be determined from the above information

Question 9

Q1 means the same as

Accepted Answer

A)  P75 
B)  P50 
C)  P25 
D)  P 
A)  P75 
B)  P50 
C)  P25 
D)  P

Question 10

Which measure is not dependent on the value of each score?

Accepted Answer

A)  standard deviation 
B)  semi-interquartile range 
C)  deviation scores formula for the variance 
D)  raw scores formula for the variance 
A)  standard deviation 
B)  semi-interquartile range 
C)  deviation scores formula for the variance 
D)  raw scores formula for the variance

Question 11

Q is equal to

Accepted Answer

A)  (  )/2 
B)  (  )/
   
C)  (   )/2 
D)  the median 
A)  (  )/2 
B)  (  )/
   
C)  (   )/2 
D)  the median

Question 12

If one score in a distribution is changed to another value, it is certain that

Accepted Answer

A)  the range has changed 
B)  the semi-interquartile range has changed 
C)  the standard deviation has changed 
D)  both standard deviation and semi-interquartile range have changed 
A)  the range has changed 
B)  the semi-interquartile range has changed 
C)  the standard deviation has changed 
D)  both standard deviation and semi-interquartile range have changed

Question 13

Consider the following sets of scores: (1) 8, 8, 8, 8, 8;(2)6, 6, 8, 10, 10; (3)4, 6, 8, 10, 12; (4)1004, 1006, 1008, 1010, 1012.
(a)Upon inspection, which show(s) the least variability? The most variability?
(b)For each set, compute the mean, and compute the variance and standard deviation directly from deviation scores.
(c)What do the results of (b) suggest about the relationship between central tendency and variability?

Accepted Answer

(a) (1) shows the least; (3) and (4) sho

Question 14

A distribution has a mean of 60 and a standard deviation of 8. For a score of 72, the equivalent z score

Accepted Answer

A)  is +12 
B)  is -12 
C)  is +1.5 
D)  is -1.5 
A)  is +12 
B)  is -12 
C)  is +1.5 
D)  is -1.5

Question 15

Professor Jones gives a quiz in her statistics course and obtains the following 20 scores:
   
Calculate the variance and standard deviation by 
(a) the deviation-score method, and
(b) the raw-score method.

Accepted Answer

(a) 
 @#IMG-DLM& 
;
The answer

Question 16

The sum of squares of the deviation scores is least when deviations are taken from

Accepted Answer

A)  the mean 
B)  the median 
C)  the lowest score 
D)  one or the other of the above measures depending on the shape of the distribution 
A)  the mean 
B)  the median 
C)  the lowest score 
D)  one or the other of the above measures depending on the shape of the distribution

Question 17

For a distribution of math test scores, $ Q=8.3 $
 This tells us something about 50% of the cases. Which 50%? What does it tell us about that 50%?

Accepted Answer

The middle 50%; their scores r

Question 18

A z score in a given distribution is -.5. If the mean of this distribution is 130 and the standard deviation is 20, the equivalent raw score in that distribution is

Accepted Answer

A)  129.5 
B)  120 
C)  110 
D)  140 
A)  129.5 
B)  120 
C)  110 
D)  140

Question 19

The values of three out of a sample of four deviation scores are: -5, +2, and -3. The value of the fourth deviation score is

Accepted Answer

A)  0 
B)  +6 
C)  +3 
D)  +8 
A)  0 
B)  +6 
C)  +3 
D)  +8

Question 20

For the two scores 1 and 5, compute SX

Accepted Answer

A)  2 
B)  22 
C)    
D)    
A)  2 
B)  22 
C)    
D)

z scores from two different score distributions are comparable only if

A z score in a given distribution is -2. If the mean of the distribution is 40, the equivalent raw score

The standard deviation of a population is

The mean for a large group of ninth graders on a standard social studies test is 87.2. Jane obtains a score of 93.(a)How would you describe her performance?(b)Suppose S_X = 25.1. Now how would you describe her performance?(c)Suppose S_X = 2.1. Now how would you describe her performance?

The mean score on a quiz is 7 and the standard deviation is 0. This shows that

For the two scores 2 and 4, ( $\Sigma$ X)²

Three scores in a distribution are 20, 25, and 35. The z-score equivalents of the first two are, respectively, -1 and -1/2. The z-score equivalent of the third score

Q₁ means the same as

Which measure is not dependent on the value of each score?

Q is equal to

If one score in a distribution is changed to another value, it is certain that

A distribution has a mean of 60 and a standard deviation of 8. For a score of 72, the equivalent z score

Professor Jones gives a quiz in her statistics course and obtains the following 20 scores: Calculate the variance and standard deviation by (a) the deviation-score method, and (b) the raw-score method.

The sum of squares of the deviation scores is least when deviations are taken from

For a distribution of math test scores, $Q=8.3$ This tells us something about 50% of the cases. Which 50%? What does it tell us about that 50%?

A z score in a given distribution is -.5. If the mean of this distribution is 130 and the standard deviation is 20, the equivalent raw score in that distribution is

The values of three out of a sample of four deviation scores are: -5, +2, and -3. The value of the fourth deviation score is

For the two scores 1 and 5, compute S_X

Introduction

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Standard Scores and the Normal Curve

Correlation

Prediction

Interpretive Aspects of Correlation and Regression

Probability

Random Sampling and Sampling Distributions

Introduction to Statistical Inference: Testing Hypotheses About Single Means Z and T

Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power

Testing Hypotheses About the Difference Between Two Independent Groups

Testing for a Difference

Inference About Correlation Coefficients

An Alternative to Hypothesis Testing: Confidence Intervals

Testing for Differences Among Three or More Groups: One-Way Analysis of Variance and Some Alternatives

Factorial Analysis of Variance

Chi-Square and Inference About Frequencies

Some Almost Assumption-Free Tests

Filters

Exam 5: Variability and Standard Z Scores

z scores from two different score distributions are comparable only if

A z score in a given distribution is -2. If the mean of the distribution is 40, the equivalent raw score

The standard deviation of a population is

The mean for a large group of ninth graders on a standard social studies test is 87.2. Jane obtains a score of 93.(a)How would you describe her performance?(b)Suppose SX = 25.1. Now how would you describe her performance?(c)Suppose SX = 2.1. Now how would you describe her performance?

The mean score on a quiz is 7 and the standard deviation is 0. This shows that

For the two scores 2 and 4, ( Σ\SigmaΣ X)2

Three scores in a distribution are 20, 25, and 35. The z-score equivalents of the first two are, respectively, -1 and -1/2. The z-score equivalent of the third score

Q1 means the same as

Which measure is not dependent on the value of each score?

Q is equal to

If one score in a distribution is changed to another value, it is certain that

A distribution has a mean of 60 and a standard deviation of 8. For a score of 72, the equivalent z score

Professor Jones gives a quiz in her statistics course and obtains the following 20 scores: Calculate the variance and standard deviation by (a) the deviation-score method, and (b) the raw-score method.

The sum of squares of the deviation scores is least when deviations are taken from

For a distribution of math test scores, Q=8.3 Q=8.3 Q=8.3 This tells us something about 50% of the cases. Which 50%? What does it tell us about that 50%?

A z score in a given distribution is -.5. If the mean of this distribution is 130 and the standard deviation is 20, the equivalent raw score in that distribution is

The values of three out of a sample of four deviation scores are: -5, +2, and -3. The value of the fourth deviation score is

For the two scores 1 and 5, compute SX

Introduction

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Standard Scores and the Normal Curve

Correlation

Prediction

Interpretive Aspects of Correlation and Regression

Probability

Random Sampling and Sampling Distributions

Introduction to Statistical Inference: Testing Hypotheses About Single Means Z and T

Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power

Testing Hypotheses About the Difference Between Two Independent Groups

Testing for a Difference

Inference About Correlation Coefficients

An Alternative to Hypothesis Testing: Confidence Intervals

Testing for Differences Among Three or More Groups: One-Way Analysis of Variance and Some Alternatives

Factorial Analysis of Variance

Chi-Square and Inference About Frequencies

Some Almost Assumption-Free Tests

Filters

The mean for a large group of ninth graders on a standard social studies test is 87.2. Jane obtains a score of 93.(a)How would you describe her performance?(b)Suppose S_X = 25.1. Now how would you describe her performance?(c)Suppose S_X = 2.1. Now how would you describe her performance?

For the two scores 2 and 4, ( $\Sigma$ X)²

Q₁ means the same as

For a distribution of math test scores, $Q=8.3$ This tells us something about 50% of the cases. Which 50%? What does it tell us about that 50%?

For the two scores 1 and 5, compute S_X