Intro Stats
Intro Stats
4th Edition
ISBN: 9780321826275
Author: Richard D. De Veaux
Publisher: PEARSON
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Chapter 17, Problem 10E

a.

To determine

Explain the consequences of the error.

b.

To determine

Explain the consequences of the error.

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A doctor believes that the fruit and vegetable intake of Northern adolescents is different from the fruit and vegetable intake of Southern adolescents. To study this, she gathers data on the number of fruits and vegetables eaten per week from a random sample of Northern adolescents and a random sample of Southern adolescents. Which is an appropriate null hypothesis for the study? The average number of fruits and vegetables eaten per week among Northern adolescents is less than the average number of fruits and vegetables eaten per week among Southern adolescents. The average number of fruits and vegetables eaten per week among Northern adolescents is the same as the average number of fruits and vegetables eaten per week among Southern adolescents. The average number of fruits and vegetables eaten per week among Northern adolescents is greater than the average number of fruits and vegetables eaten per week among Southern adolescents. The average number of fruits and vegetables eaten per…
When results are not statistically significant, why do you conclude that it is plausible that the two variables are independent rather than concluding that the variables are different independent?
Read through this scenario and look at the data that was collected.  State the null and all possible research hypotheses.  Review the results below (I used SPSS) and answer the questions that follow. Scenario:  A researcher wants to see if gender and/or income affect the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help.  The independent variables are gender, income, and the interaction of gender and income.  The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affect the total amount of help offered.  Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA.  His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect.  The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…

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Intro Stats

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