Question 1

The correct formula for the standard error of the mean is

Accepted Answer

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

Question 2

A sociologist engaged in research on religious attitudes tells her assistant to select a random sample of ten members for interviews from a large suburban church. The sample selected consists of nine women and one man. Upon seeing the uneven distribution of sexes in the sample, the sociologist complains, "This sample can't be random: it's almost all women." Any comments?

Accepted Answer

Whether or not a sample is ran

Question 3

If the population consists of four scores: 5, 6, 7, and 8, and we are told that a sample of three scores from this population is: 7, 8, 8, we know that

Accepted Answer

A)  sampling was done with replacement 
B)  sampling was done without replacement 
C)  sampling was random 
D)  sampling was not random 
A)  sampling was done with replacement 
B)  sampling was done without replacement 
C)  sampling was random 
D)  sampling was not random

Question 4

A large population of peer ratings of physical attractiveness is approximately normal with 
   
 and   
 
 We plan to select a random sample of four ratings from this population. What is the probability of obtaining a sample mean 
(a) above 6.0
(b)below 4.0
(c)between the population mean and .5 above the mean
(d)no more than .5 away from the population mean (in either direction)
(e)What sample mean has such a low value that the probability is .05 of obtaining one as low or lower?
(f)What are the centrally placed limits such that the probability is .95 that the sample mean will fall within those limits?

Accepted Answer

(a).16
(b).07
(c).23

The correct formula for the standard error of the mean is

If the population consists of four scores: 5, 6, 7, and 8, and we are told that a sample of three scores from this population is: 7, 8, 8, we know that

Introduction

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Variability and Standard Z Scores

Standard Scores and the Normal Curve

Correlation

Prediction

Interpretive Aspects of Correlation and Regression

Probability

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 11: Random Sampling and Sampling Distributions

The correct formula for the standard error of the mean is

If the population consists of four scores: 5, 6, 7, and 8, and we are told that a sample of three scores from this population is: 7, 8, 8, we know that

Introduction

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Variability and Standard Z Scores

Standard Scores and the Normal Curve

Correlation

Prediction

Interpretive Aspects of Correlation and Regression

Probability

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