Question

The top food snacks consumed by adults aged 18-54 are gum, chocolate candy, fresh fruit, potato chips, breath mints/candy, ice cream, nuts, cookies, bars, yogurt, and crackers. Out of a random sample of 24 men, 11 ranked fresh fruit in their top five snack choices. Out of a random sample of 34 women, 25 ranked fresh fruit in their top five snack choices. Is there a difference in the proportion of men and women who rank fresh fruit in their top five list of snacks? (a-1) Choose the appropriate hypotheses. Assume πΜ is the proportion of men and πw is the proportion of women. o d (a-2) State the decision rule for a .05. (Round your answers to 3 decimal places. A negative value should be indicated by a minus sign.) Reject the null hypotheses i# Zcalc-1.96 b) Calculate the sample proportions. (Round your answers to 4 decimal places.) 1.96 Men 0.4583 Women 0.7353 (c-1) Calculate the test statistic and find the p-value. (Do not round intermediate calculations. Round your answers to 3 decimal places. A negative value should be indicated by a minus sign.) The value of the test statistic is (c-2) What is your conclusion? and the p-value is OThe sample shows a significant difference in proportions. O The sample does not show a significant difference in proportions. (d) is normality of p1 -P2 assured? O No Yes 6 求: F2 吕0 F1 F4 F5
0 0
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and variance Pii P242 Therefore, our critical region(s) can be established by using the standard normal variable (P - P2) - (p1 - P2) When Ho is true, we can substitute p1p2-p and qi - q (where p and q are the common values) in the preceding formula for Z to give the form P1 - P2 To compute a value of Z, however, we must estimate the parameters p and q that appear in the radical. estimate of the proportion p is Upon pooling the data from both samples, the pooled ni +n2 where 2,1 and 2,2 are the numbers of successes in each of the two samples. Substi- tuting p for p and q 1-p for q, the z-value for testing P1-P2 is determined from the formula P1-P2 (1/m + 1/n2) The critical regions for the appropriate alternative hypotheses are set up as before using critical points of the standard normal curve. Hence, for the alternative P1メP2 at the a-level of significance, the critical region is z <-za/2 or z > /2 For a test where the alternative is P1 < P2, the critical region is z <-,, and when the alternative is P1 > P2, the critical region is z >

Test and CI for Two Proportions

Sample   X   N Sample p
1       11 24 0.458333
2       25 34 0.735294


Difference = p (1) - p (2)
Estimate for difference: -0.276961
95% CI for difference: (-0.525412, -0.0285093)
Test for difference = 0 (vs ≠ 0): Z = -2.14 P-Value = 0.032

c1)
TS = -2.141
p-value = 0.032

c2)
p-value < 0.05
we reject the null hypothesis

A) sample shows a significant difference in proportion

d)
Yes

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