Which of the following is the correct null hypothesis for an independent-measures t test Quizlet

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This question has the same data that you worked with in question 19, but the description has been changed to fit an independent-samples study.

Subjects are tested for their ability to read emotional expressions on people's faces. Some people are tested without any manipulation, while a different group is tested after a stress manipulation. Assignment to the two conditions is random. The stress experience is expected to affect the ability of the subjects in the stress manipulation condition to correctly read facial expressions. The scores (dependent variable) indicate the number of correctly identified expressions.
Here are the scores for the subjects in the control condition: 10, 9, 8, 7, 7, 4, 4.
Here are the scores for the subjects in the stress condition: 5, 7, 5, 6, 4, 5, 3.

What is the value of the t-statistic for these subjects?

Report your answer as a positive number showing two places to the right of the decimal.

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What is the correct null hypothesis for an independent measure t

Independent samples t tests have the following hypotheses: Null hypothesis: The means for the two populations are equal. Alternative hypothesis: The means for the two populations are not equal.

What is the null hypothesis for an independent samples t

What is the null hypothesis for an independent-samples t-test? Population mean of group 1 is equal to mean of group 2. What is the alternative hypothesis for an independent-samples t-test? Population mean of group 1 is not equal to mean of group 2.

What is the null hypothesis for this test quizlet?

A null hypothesis states that there will be no difference, no effect, or no relationship between the variables. - a statement that the obtained differences being investigated are not significant (the observed sample mean differences are in fact just a chance of occurrence).

What does the independent t

What does the model "independent samples t-test" assumes? The model assumes that a difference in the mean score of the dependent variable is found because of the influence of the independent variable.

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