Question 1

You are doing a one-sample t test. What level of measurement is required on the variable you are using?

Accepted Answer

A)  It must be nominal. 
B)  It must be ordinal. 
C)  It must be interval/ratio. 
D)  It can be any level of measurement. 
A)  It must be nominal. 
B)  It must be ordinal. 
C)  It must be interval/ratio. 
D)  It can be any level of measurement.

Question 2

You are testing a two-tailed hypothesis. Based on the following results, the significance level is _____ and you _____ the null hypothesis.

Accepted Answer

A)  .0235 … do not reject 
B)  .0235 … reject 
C)  .047 … do not reject 
D)  .047 … reject 
A)  .0235 … do not reject 
B)  .0235 … reject 
C)  .047 … do not reject 
D)  .047 … reject

Question 3

Answer the questions that follow this SPSS output:
  
Your null hypothesis is "In the population, the average SAT score is 1000." (   ) 
A) State the research hypothesis being tested.
B) Is this a one-tailed or two-tailed hypothesis?
C) Are your sample results consistent with the null hypothesis or the research hypothesis? (null / research)
D) What is the probability of getting the sample results you got if the null hypothesis is true? (If this step in hypothesis testing can be skipped, write the word "SKIP".)
E) What is your conclusion? (In other words, do you "reject" or "not reject" the null hypothesis based on these results?)
F) Are your results statistically significant? (yes / no)
G) You can be 95% sure that the true average number of hours spent using the Internet for the population is between __________ and __________.

Accepted Answer

a. "In the population, the ave

Question 4

Based on which of these significance levels would you reject the null hypothesis?

Accepted Answer

A)  .01 
B)  .10 
C)  .95 
D)  all of the above 
A)  .01 
B)  .10 
C)  .95 
D)  all of the above

Question 5

Which of the following null hypotheses is a one-tailed hypothesis?

Accepted Answer

A)  The average daily number of calories consumed is 2300. 
B)  Soccer players consume an average of 3000 or more calories a day. 
C)  Both "a" and "b" are one-tailed hypotheses. 
D)  Neither "a" nor "b" is a one-tailed hypothesis. 
A)  The average daily number of calories consumed is 2300. 
B)  Soccer players consume an average of 3000 or more calories a day. 
C)  Both "a" and "b" are one-tailed hypotheses. 
D)  Neither "a" nor "b" is a one-tailed hypothesis.

You are doing a one-sample t test. What level of measurement is required on the variable you are using?

You are testing a two-tailed hypothesis. Based on the following results, the significance level is _ and you _ the null hypothesis.

Based on which of these significance levels would you reject the null hypothesis?

Which of the following null hypotheses is a one-tailed hypothesis?

Introduction

Data Sets

Frequency Tables and Univariate Charts

Central Tendency and Dispersion

Creating New Variables

Comparing Group Means

Crosstab Tables

Nominal and Ordinal Measures of Association

Pearsons Correlation and Bivariate Regression

Multiple Regression

Sampling Distributions and Normal Distributions

Paired and Independent-Samples T Tests

Analysis of Variance

Chi-Square

Hypothesis Testing With Measures of Association and Regression

Filters

Exam 12: Hypothesis Testing and One-Sample T Tests

You are doing a one-sample t test. What level of measurement is required on the variable you are using?

You are testing a two-tailed hypothesis. Based on the following results, the significance level is _____ and you _____ the null hypothesis.

Based on which of these significance levels would you reject the null hypothesis?

Which of the following null hypotheses is a one-tailed hypothesis?

Introduction

Data Sets

Frequency Tables and Univariate Charts

Central Tendency and Dispersion

Creating New Variables

Comparing Group Means

Crosstab Tables

Nominal and Ordinal Measures of Association

Pearsons Correlation and Bivariate Regression

Multiple Regression

Sampling Distributions and Normal Distributions

Paired and Independent-Samples T Tests

Analysis of Variance

Chi-Square

Hypothesis Testing With Measures of Association and Regression

Filters

You are testing a two-tailed hypothesis. Based on the following results, the significance level is _ and you _ the null hypothesis.