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Conducting an Independent Samples T-Test Using SPSS

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Conducting an Independent Samples T-Test Using SPSS

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Questions and Answers

What is the null hypothesis for this example?

µnon-athlete − µathlete = 0 (correct)

µnon-athlete − µathlete < 0

µnon-athlete − µathlete > 0

µnon-athlete − µathlete ≠ 0

Which statistical test can be used to compare the mean mile time for athletes and non-athletes?

One-way ANOVA

Chi-square test

Independent samples t-test (correct)

Paired samples t-test

What is the alternative hypothesis for this example?

µnon-athlete − µathlete > 0

µnon-athlete − µathlete ≠ 0 (correct)

µnon-athlete − µathlete = 0

µnon-athlete − µathlete < 0

What do µathlete and µnon-athlete represent in the hypotheses?

Population means for athletes and non-athletes Signup and view all the answers

What does the Independent Samples t Test compare?

Sample means for athletes and non-athletes Signup and view all the answers

What is the purpose of an Independent Samples t Test in this example?

To infer whether the means for mile times in the population are significantly different between athletes and non-athletes Signup and view all the answers

What is the null hypothesis for this example?

$H0: \mu_{non-athlete} - \mu_{athlete} = 0$ Signup and view all the answers

What is the alternative hypothesis for this example?

$H1: \mu_{non-athlete} \neq \mu_{athlete}$ Signup and view all the answers

What does µathlete represent in the hypotheses?

The population mean for athletes Signup and view all the answers

What does the Independent Samples t Test compare?

The difference between the sample means for mile time among athletes and non-athletes Signup and view all the answers

Study Notes

Hypotheses and Statistical Test

The null hypothesis states that there is no significant difference in the mean mile time between athletes and non-athletes, i.e., µathlete = µnon-athlete.
The alternative hypothesis states that there is a significant difference in the mean mile time between athletes and non-athletes, i.e., µathlete ≠ µnon-athlete.
µathlete and µnon-athlete represent the population mean mile time for athletes and non-athletes, respectively.

Independent Samples t Test

The Independent Samples t Test is used to compare the mean mile time for athletes and non-athletes.
This test compares the means of two independent groups, in this case, athletes and non-athletes.
The purpose of an Independent Samples t Test in this example is to determine whether there is a significant difference in the mean mile time between athletes and non-athletes.

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Description

This quiz is designed to test your knowledge on conducting an independent samples t-test using SPSS. It focuses on comparing the average time to run a mile between athletes and non-athletes based on a sample dataset. Explore the key concepts and steps involved in this statistical analysis.