A Sporting goods manufacturer wants to determine if there is a relationship betw
ID: 3228025 • Letter: A
Question
A Sporting goods manufacturer wants to determine if there is a relationship between gender and the riskiness of the sport each engages in. Over a 6-month period, she records whether the equipment purchased is for a high-risk sport (white water kayaking, skydiving, etc.) or a low-risk sport (badminton, swimming, volleyball, etc.) and whether the purchaser was male or female. She records her data in the following table. Test at alpha .05 - are gender and riskiness independent? Write out the null hypothesis and the research hypothesis. H_o: H_a: Test the hypothesis; report Chi Square obtained, Chi Square CV, df and Contingency Coeficient. Chi Square = CV = df = C - Is there a significant association and, if so, at what alpha level? Yes/No (choose one) P .05 (choose one) Write an interpretive sentence about the conclusion you determine from the results - indicating whether men or women engage in riskier sports?Explanation / Answer
Answer:
1.
Ho: There is no relationship between gender and the riskness of the sport engaged in.
H1: There is relationship between gender and the riskness of the sport engaged in.
2.)
gender * resk Crosstabulation
Count
resk
Total
High
Low
gender
Men
22
37
59
Women
18
28
46
Total
40
65
105
Chi-Square Tests
Value
df
Asymptotic Significance (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Pearson Chi-Square
.037a
1
.847
Continuity Correctionb
.000
1
1.000
Likelihood Ratio
.037
1
.847
Fisher's Exact Test
1.000
.503
Linear-by-Linear Association
.037
1
.848
N of Valid Cases
105
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 17.52.
b. Computed only for a 2x2 table
Symmetric Measures
Value
Approximate Significance
Nominal by Nominal
Contingency Coefficient
.019
.847
N of Valid Cases
105
Chi square =0.037
Chi square CV=3.841
Df=1
C=0.019
3).
No.
4).
There is no evidence to conclude association that between gender and the riskness of the sport engaged in.
gender * resk Crosstabulation
Count
resk
Total
High
Low
gender
Men
22
37
59
Women
18
28
46
Total
40
65
105
Related Questions
drjack9650@gmail.com
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.