Question 1

If in a One Sample t Test, the null hypothesis is true what would you conclude:

Accepted Answer

A)  The sample mean is different from the population mean 
B)  The sample does not represent the population 
C)  The sample is not different from the population 
D)  The sample is difference from the population 
A)  The sample mean is different from the population mean 
B)  The sample does not represent the population 
C)  The sample is not different from the population 
D)  The sample is difference from the population C

Question 2

Which of the following is NOT true about One Sample t Test?

Accepted Answer

A)  The continuous variable needs to be normally distributed 
B)  One sample mean is compared to the population mean 
C)  The null hypothesis states that the sample is no different than the population 
D)  The df is n - 2 
A)  The continuous variable needs to be normally distributed 
B)  One sample mean is compared to the population mean 
C)  The null hypothesis states that the sample is no different than the population 
D)  The df is n - 2 D

Question 3

What can you conclude about the following t test results: [t (99) = 4.576, p < .05].

Accepted Answer

A)  There is a significant difference between the sample mean and the population mean 
B)  There is not a significant difference between the sample mean and the population mean 
C)  N is 99 
D)  The Probability that the null hypothesis is true is .05 
A)  There is a significant difference between the sample mean and the population mean 
B)  There is not a significant difference between the sample mean and the population mean 
C)  N is 99 
D)  The Probability that the null hypothesis is true is .05 A

Question 4

in a non-directional One Sample t Test the null hypothesis states that the sample means is greater than the population mean.

Accepted Answer

A) True 
 B)False

Question 5

What is the mean differences between the sample mean and the population mean divided by in the calculation of the t value for a One Sample t Test?

Accepted Answer

A)  Standard Deviation 
B)  Standard Error of Mean 
C)  N 
D)  N-1 
A)  Standard Deviation 
B)  Standard Error of Mean 
C)  N 
D)  N-1

If in a One Sample t Test, the null hypothesis is true what would you conclude:

Which of the following is NOT true about One Sample t Test?

What can you conclude about the following t test results: [t (99) = 4.576, p < .05].

in a non-directional One Sample t Test the null hypothesis states that the sample means is greater than the population mean.

What is the mean differences between the sample mean and the population mean divided by in the calculation of the t value for a One Sample t Test?

The Empirical Approach to Knowledge

Types of Empirical Research

Scales of Measurement

Descriptive, Correlational, and Inferential Statistics

Introduction to Sampling

Variations on Random Sampling

Sample Size

Standard Error of the Mean

Frequencies, Percentages, and Proportions

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Range and Interquartile Range

Standard Deviation

Z-Score

Correlation

Pearson-R

Scattergram

Introduction to Hypothesis Testing

Decisions About the Null Hypothesis

Introduction to the T-Test

Independent Samples T-Test

Dependent Samples T-Test

Reports of the Results of T-Tests

One-Way Anova

Two-Way Anova

Chi-Square Test

Limitations of Significance Testing

Effect Size

Coefficient of Determination

Multiple Correlation

Simple and Multiple Regression

Filters

Exam 24: One Sample T-Test

If in a One Sample t Test, the null hypothesis is true what would you conclude:

Which of the following is NOT true about One Sample t Test?

What can you conclude about the following t test results: [t (99) = 4.576, p < .05].

in a non-directional One Sample t Test the null hypothesis states that the sample means is greater than the population mean.

What is the mean differences between the sample mean and the population mean divided by in the calculation of the t value for a One Sample t Test?

The Empirical Approach to Knowledge

Types of Empirical Research

Scales of Measurement

Descriptive, Correlational, and Inferential Statistics

Introduction to Sampling

Variations on Random Sampling

Sample Size

Standard Error of the Mean

Frequencies, Percentages, and Proportions

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Range and Interquartile Range

Standard Deviation

Z-Score

Correlation

Pearson-R

Scattergram

Introduction to Hypothesis Testing

Decisions About the Null Hypothesis

Introduction to the T-Test

Independent Samples T-Test

Dependent Samples T-Test

Reports of the Results of T-Tests

One-Way Anova

Two-Way Anova

Chi-Square Test

Limitations of Significance Testing

Effect Size

Coefficient of Determination

Multiple Correlation

Simple and Multiple Regression

Filters