A) evaluates the null hypothesis of equal means in the populations against an alternative hypothesis of unequal means in the populations B) evaluates the null hypothesis of unequal means in the populations against an alternative hypothesis of equal means in the populations C) evaluates the null hypothesis of equal variances in the populations against an alternative hypothesis of unequal variances in the populations D) evaluates the null hypothesis of unequal variances in the populations against an alternative hypothesis of equal variances in the populations A) evaluates the null hypothesis of equal means in the populations against an alternative hypothesis of unequal means in the populations B) evaluates the null hypothesis of unequal means in the populations against an alternative hypothesis of equal means in the populations C) evaluates the null hypothesis of equal variances in the populations against an alternative hypothesis of unequal variances in the populations D) evaluates the null hypothesis of unequal variances in the populations against an alternative hypothesis of equal variances in the populations

Exam 10: Independent Groups T -Test

What would the value of eta-squared be if and independent t-test yielded an observed t value of -1.73 and the number of subjects in the placebo group was 10 and the number of subjects in the treatment group was 10.

(Multiple Choice)

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Question 61

The independent groups t test is typically used to analyze the relationship between two variables when:

(Multiple Choice)

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Question 62

The independent groups t test is quite robust to the assumption of homogeneity of variance when the _ are _.

(Multiple Choice)

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Question 63

In an APA results section and independent groups t-test is written as follows t(82)= 5.66,p<0.05.Based on this information what are the degrees of freedom?

(Multiple Choice)

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Question 64

A non-directional alternative hypothesis is written as _____.

(Multiple Choice)

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Question 65

The calculation of eta-squared _____ when the statistical test is nonsignificant.

(Multiple Choice)

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Question 66

The stronger the influence of the independent variable on the dependent variable,the larger the sum of squares error should be relative to the sum of squares total,everything else being equal.

(True/False)

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Question 67

Increasing ______ reduces the standard error of the difference.

(Short Answer)

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Question 68

What factors influence the size of the standard error of the difference?

(Essay)

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Question 69

Dr.Johnson is studying the effects of aspirin on heart rate.He believes that aspirin will lower heart rate.He has 2 groups the treatment group receives 80mg of aspirin for a week (n=4)the control group received a placebo (n=4)and their heart rates are compared.Below is his data in which heart rate is beats per minute.He sets his alpha level at 0.05 and uses a directional test. Is it possible that Dr.Johnson has_____.

(Multiple Choice)

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Question 70

Eta-squared is a(n)_ estimator in that it tends to slightly _ the strength of the relationship in the population across random samples.

(Multiple Choice)

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Question 71

If the observed t value exceeds the critical t value,then the difference between the sample means is most likely ____.

(Multiple Choice)

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Question 72

If the variability of scores in the populations is held constant,then increasing sample sizes results in _____ in the standard error of the difference.

(Multiple Choice)

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Question 73

A physical therapist is interested in whether people with different bone structures will be affected differently by her new therapy program.She randomly chooses two groups of patients based on bone type: small-boned frame (X_S)and large-boned frame (X_L).Patients all had similar injuries.She measures the number of days each person takes to progress to a predetermined point.Here is the data: Based on the computed t value,what can you conclude?

(Multiple Choice)

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Question 74

Given that your calculated t is 5.09 and there was a total of 62 subjects the strength of the relationship is_________.

(Short Answer)

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Question 75

The set of all t values more extreme than the critical values constitute an unexpected result or,more formally,the rejection region.

(True/False)

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Question 76

Suppose a researcher is reporting the results of an independent groups t test.If he obtained a statistically significant t value of 2.5 with 15 subjects in each group using an alpha level of .05,how would he report this in a psychological journal?

(Multiple Choice)

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Question 77

Under certain conditions,the independent groups t test is robust to violations of the _ and _ assumptions.

(Multiple Choice)

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Question 78

A physical therapist is interested in whether people with different bone structures will be affected differently by her new therapy program.She randomly chooses two groups of patients based on bone type: small-boned frame (X_S)and large-boned frame (X_L).Patients all had similar injuries.She measures the number of days each person takes to progress to a predetermined point.Here is the data: What are the critical values of t if the alpha level is .05?

(Multiple Choice)

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Question 79

The Levene test

(Multiple Choice)

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Question 80

Showing 61 - 80 of 149

What would the value of eta-squared be if and independent t-test yielded an observed t value of -1.73 and the number of subjects in the placebo group was 10 and the number of subjects in the treatment group was 10.

The independent groups t test is typically used to analyze the relationship between two variables when:

The independent groups t test is quite robust to the assumption of homogeneity of variance when the _ are _.

In an APA results section and independent groups t-test is written as follows t(82)= 5.66,p<0.05.Based on this information what are the degrees of freedom?

A non-directional alternative hypothesis is written as _____.

The calculation of eta-squared _____ when the statistical test is nonsignificant.

The stronger the influence of the independent variable on the dependent variable,the larger the sum of squares error should be relative to the sum of squares total,everything else being equal.

Increasing ______ reduces the standard error of the difference.

What factors influence the size of the standard error of the difference?

Eta-squared is a(n)_ estimator in that it tends to slightly _ the strength of the relationship in the population across random samples.

If the observed t value exceeds the critical t value,then the difference between the sample means is most likely ____.

If the variability of scores in the populations is held constant,then increasing sample sizes results in _____ in the standard error of the difference.

Given that your calculated t is 5.09 and there was a total of 62 subjects the strength of the relationship is_________.

The set of all t values more extreme than the critical values constitute an unexpected result or,more formally,the rejection region.

Suppose a researcher is reporting the results of an independent groups t test.If he obtained a statistically significant t value of 2.5 with 15 subjects in each group using an alpha level of .05,how would he report this in a psychological journal?

Under certain conditions,the independent groups t test is robust to violations of the _ and _ assumptions.

The Levene test

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 10: Independent Groups T -Test

What would the value of eta-squared be if and independent t-test yielded an observed t value of -1.73 and the number of subjects in the placebo group was 10 and the number of subjects in the treatment group was 10.

The independent groups t test is typically used to analyze the relationship between two variables when:

The independent groups t test is quite robust to the assumption of homogeneity of variance when the _____ are _____.

In an APA results section and independent groups t-test is written as follows t(82)= 5.66,p<0.05.Based on this information what are the degrees of freedom?

A non-directional alternative hypothesis is written as _____.

The calculation of eta-squared _____ when the statistical test is nonsignificant.

The stronger the influence of the independent variable on the dependent variable,the larger the sum of squares error should be relative to the sum of squares total,everything else being equal.

Increasing ______ reduces the standard error of the difference.

What factors influence the size of the standard error of the difference?

Eta-squared is a(n)_____ estimator in that it tends to slightly _____ the strength of the relationship in the population across random samples.

If the observed t value exceeds the critical t value,then the difference between the sample means is most likely ____.

If the variability of scores in the populations is held constant,then increasing sample sizes results in _____ in the standard error of the difference.

Given that your calculated t is 5.09 and there was a total of 62 subjects the strength of the relationship is_________.

The set of all t values more extreme than the critical values constitute an unexpected result or,more formally,the rejection region.

Suppose a researcher is reporting the results of an independent groups t test.If he obtained a statistically significant t value of 2.5 with 15 subjects in each group using an alpha level of .05,how would he report this in a psychological journal?

Under certain conditions,the independent groups t test is robust to violations of the _____ and _____ assumptions.

The Levene test

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

The independent groups t test is quite robust to the assumption of homogeneity of variance when the _ are _.

Eta-squared is a(n)_ estimator in that it tends to slightly _ the strength of the relationship in the population across random samples.

Under certain conditions,the independent groups t test is robust to violations of the _ and _ assumptions.