Understandable Statistics: Concepts And Methods
Understandable Statistics: Concepts And Methods
12th Edition
ISBN: 9781337517508
Author: Charles Henry Brase, Corrinne Pellillo Brase
Publisher: Cengage Learning
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Chapter 11.3, Problem 10P

(i)

To determine

Construct the ranks for a Spearman rank correlation test.

(ii)

To determine

(a)

Find the level of significance.

State the null and alternative hypothesis.

(b)

Find the value of the sample test statistic.

(c)

Find the P-value of the sample test statistic.

(d)

Mention the conclusion of the test.

(e)

Interpret the conclusion in the context of the application.

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With the information shown, Please do step 3 & 4 of the hypothesis testing 1.The number of people who survived the Titanic based on class and sex is collected is collected in the table. Is there enough evidence to show that the class and the sex of a person who survived the Titanic are independent?  0.05 significance level. Null Hypothesis: class and sex of a person who survived the titanic are independent. Alternative Hypothesis: class and sex of a person who survived the titanic are dependent. The contingency table is:   Class Male Female Total  1st 134 59 193 2nd 94 25 119 3rd 80 58 138 Total 308 142 450                                                                                                                                                     Expected frequencies table is:   Class Male   Female               Total 1st 193×308450=132.09 193×142450=60.90 193 2nd 119×308450=81.45…
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 affects 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 - affects 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…
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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Understandable Statistics: Concepts And Methods

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