Question 1

In a normal distribution, what proportion of cases fall between:
(a)z = -1.00 and   
(b)
   
 and 
   
(c)
   
 and 
   
(d)   
 and

(e)  
and

Accepted Answer

(a).6826
(

Question 2

In a normal distribution of 400 scores with   
 and SX = 10, how many cases fall between 50 and 60?

Accepted Answer

A)  98 
B)  142 
C)  68 
D)  137 
A)  98 
B)  142 
C)  68 
D)  137

Question 3

In a normal distribution of 200 cases, how many fall between   
 and

Accepted Answer

A)  173 
B)  87 
C)  43 
D)  27 
A)  173 
B)  87 
C)  43 
D)  27

Question 4

In a normal distribution the most extreme 5% of the cases fall beyond z =

Accepted Answer

A)  -1.64 
B)  -2.58 
C)  -1.96 
D)  -1.80 
A)  -1.64 
B)  -2.58 
C)  -1.96 
D)  -1.80

Question 5

In a normal distribution with   
 and SX = 10, the bottom 80% of the cases fall below what score (rounded)?

Accepted Answer

A)  63 
B)  54 
C)  61 
D)  58 
A)  63 
B)  54 
C)  61 
D)  58

Question 6

In a normal distribution of scores with   
 and SX = 10, what proportion of cases fall above a score of 62?

Accepted Answer

A)  .7698 
B)  .3849 
C)  .1151 
D)  .0478 
A)  .7698 
B)  .3849 
C)  .1151 
D)  .0478

Question 7

A well-known IQ test is standardized to have a mean of 100 and a standard deviation of 15 for children of any particular age level. Out of a typical sample of 500 children of a given age, how many would we expect to obtain IQ scores:
(a)above 130?
(b)above 150?
(c)below 80?
(d)between 90 and 110?
(e)outside the limits 80 and 120?

Accepted Answer

(a)11
(b)l

In a normal distribution, what proportion of cases fall between: (a)z = -1.00 and (b) and (c) and (d) and (e) and

In a normal distribution of 400 scores with and S_X = 10, how many cases fall between 50 and 60?

In a normal distribution of 200 cases, how many fall between and

In a normal distribution the most extreme 5% of the cases fall beyond z =

In a normal distribution with and S_X = 10, the bottom 80% of the cases fall below what score (rounded)?

In a normal distribution of scores with and S_X = 10, what proportion of cases fall above a score of 62?

Introduction

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Variability and Standard Z Scores

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 6: Standard Scores and the Normal Curve

In a normal distribution, what proportion of cases fall between: (a)z = -1.00 and (b) and (c) and (d) and (e) and

In a normal distribution of 400 scores with and SX = 10, how many cases fall between 50 and 60?

In a normal distribution of 200 cases, how many fall between and

In a normal distribution the most extreme 5% of the cases fall beyond z =

In a normal distribution with and SX = 10, the bottom 80% of the cases fall below what score (rounded)?

In a normal distribution of scores with and SX = 10, what proportion of cases fall above a score of 62?

Introduction

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Variability and Standard Z Scores

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

In a normal distribution of 400 scores with and S_X = 10, how many cases fall between 50 and 60?

In a normal distribution with and S_X = 10, the bottom 80% of the cases fall below what score (rounded)?

In a normal distribution of scores with and S_X = 10, what proportion of cases fall above a score of 62?