Question

Is there a difference between men and women when it comes to seeking preventative healthcare? At...

Is there a difference between men and women when it comes to seeking preventative healthcare? At the alpha=0.10 level of significance, test the claim that the proportion of those who have had a wellness visit with their physician in the past year is the same for men and women. Let Pf represent the proportion of females who have had a wellness visit with their physician in the past year and Pm represent the proportion of males how have done the same (round your result to three decimal places)

Which would be correct hypotheses for this test?

Ho: Pf = Pm, H1: Pf ≠ Pm

Ho: Pf = Pm, H1: Pf > Pm

Ho: Pf = Pm, H1: Pf < Pm

Ho: Pf ≠ Pm, H1: Pf > Pm

In a random sample of 298 females, 267 had a wellness visit with their physician in the past year. In a random sample of 145 males, 98 have had a wellness visit with their physician in the past year. Find the test statistic:

___________

Give the P-value

____________

Which is the correct result:

Reject the Null Hypothesis

Do no Reject the Null Hypothesis

Which would be the appropriate conclusion?

There is not significant evidence to support the claim that the proportions of men and women who seek preventative care are the same.

There is significant evidence to support the claim that the proportions of men and women who seek preventative care are the same.

Homework Answers

Answer #1

The statistical software output for this problem is:

Two sample proportion summary hypothesis test:
p1 : proportion of successes for population 1
p2 : proportion of successes for population 2
p1 - p2 : Difference in proportions
H0 : p1 - p2 = 0
HA : p1 - p2 ≠ 0

Hypothesis test results:

Difference Count1 Total1 Count2 Total2 Sample Diff. Std. Err. Z-Stat P-value
p1 - p2 267 298 98 145 0.22011109 0.038565568 5.7074508 <0.0001

Hence,

Hypotheses: Ho: Pf = Pm, H1: Pf ≠ Pm

Test statistic = 5.707

p - Value = 0.0000

Reject the null hypothesis

Conclusion: There is significant evidence to support the claim that the proportions of men and women who seek preventative care are the same. Option B is correct.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Test the claim that the proportion of men who own cats is smaller than the proportion...
Test the claim that the proportion of men who own cats is smaller than the proportion of women who own cats at the .01 significance level. The null and alternative hypothesis would be: H0:μM=μF H1:μM≠μF H0:pM=pF H1:pM>pF H0:μM=μF H1:μM<μF H0:μM=μF H1:μM>μF H0:pM=pF H1:pM<pF H0:pM=pF H1:pM≠pF The test is: left-tailed two-tailed right-tailed Based on a sample of 60 men, 40% owned cats Based on a sample of 40 women, 50% owned cats The test statistic is:  (to 2 decimals) The p-value is:  (to...
Test the claim that the proportion of men who own cats is smaller than the proportion...
Test the claim that the proportion of men who own cats is smaller than the proportion of women who own cats at the .05 significance level. The null and alternative hypothesis would be: H0:?M=?F H1:?M??F H0:pM=pF H1:pM?F H0:pM=pF H1:pM?pF H0:pM=pF H1:pM>pF H0:?M=?F H1:?M<?F The test is: two-tailed left-tailed right-tailed Based on a sample of 80 men, 45% owned cats Based on a sample of 80 women, 65% owned cats The test statistic is: (to 2 decimals) The p-value is: (to...
Test the claim that the proportion of men who own cats is smaller than the proportion...
Test the claim that the proportion of men who own cats is smaller than the proportion of women who own cats at the .01 significance level. The null and alternative hypothesis would be: H0:pM=pFH0:pM=pF H1:pM>pFH1:pM>pF H0:μM=μFH0:μM=μF H1:μM≠μFH1:μM≠μF H0:pM=pFH0:pM=pF H1:pM≠pFH1:pM≠pF H0:μM=μFH0:μM=μF H1:μM>μFH1:μM>μF H0:μM=μFH0:μM=μF H1:μM<μFH1:μM<μF H0:pM=pFH0:pM=pF H1:pM<pFH1:pM<pF The test is: right-tailed two-tailed left-tailed Based on a sample of 40 men, 35% owned cats Based on a sample of 60 women, 55% owned cats The test statistic is:  (to 2 decimals) The critical value...
Test the claim that the proportion of men who own cats is significantly different than the...
Test the claim that the proportion of men who own cats is significantly different than the proportion of women who own cats at the 0.2 significance level. The null and alternative hypothesis would be: H0:μM=μFH0:μM=μF H1:μM≠μFH1:μM≠μF H0:pM=pFH0:pM=pF H1:pM≠pFH1:pM≠pF H0:μM=μFH0:μM=μF H1:μM>μFH1:μM>μF H0:pM=pFH0:pM=pF H1:pM<pFH1:pM<pF H0:pM=pFH0:pM=pF H1:pM>pFH1:pM>pF H0:μM=μFH0:μM=μF H1:μM<μFH1:μM<μF Correct The test is: left-tailed two-tailed right-tailed Correct Based on a sample of 20 men, 25% owned cats Based on a sample of 40 women, 45% owned cats The test statistic is:  (to 2 decimals)...
1/ A physical therapist wants to determine the difference in the proportion of men and women...
1/ A physical therapist wants to determine the difference in the proportion of men and women who participate in regular sustained physical activity. What sample size should be obtained if she wishes the estimate to be within five percentage points with 95​% confidence, assuming that ​(a)she uses the estimates of 21.8​% male and 18.3​% female from a previous​ year? n = (Round up to the nearest whole​ number.) ​(b) she does not use any prior​ estimates? 2/ A survey​ asked,...
1. Test the claim that the proportion of men who own cats is significantly different than...
1. Test the claim that the proportion of men who own cats is significantly different than the proportion of women who own cats at the 0.1 significance level. The null and alternative hypothesis would be: H0:pM≤pFH0:pM≤pF H1:pM>pFH1:pM>pF H0:pM≥pFH0:pM≥pF H1:pM<pFH1:pM<pF H0:μM=μFH0:μM=μF H1:μM≠μFH1:μM≠μF H0:μM≤μFH0:μM≤μF H1:μM>μFH1:μM>μF H0:pM=pFH0:pM=pF H1:pM≠pFH1:pM≠pF H0:μM≥μFH0:μM≥μF H1:μM<μFH1:μM<μF The test is left-tailed two-tailed right-tailed Based on a sample of 60 men, 40% owned cats Based on a sample of 40 women, 50% owned cats positive Critical Value = [three decimal accuracy]...
1. In a random sample of 276 non-seatbelt wearing passengers involved in a car crash, 34...
1. In a random sample of 276 non-seatbelt wearing passengers involved in a car crash, 34 were killed. In a random sample of 408 seatbelt wearing passengers involved in a car crash, 23 were killed. Find the test statistic (2 decimal places): Give the P-value (4 decimal places - if less than 0.001 answer 0): 2. Based on a sample of 40 men, 45% owned cats Based on a sample of 60 women, 55% owned cats. The test statistic is:  (to...
In a study of red/green color blindness, 600 men and 2000 women are randomly selected and...
In a study of red/green color blindness, 600 men and 2000 women are randomly selected and tested. Among the men, 52 have red/green color blindness. Among the women, 5 have red/green color blindness. Test the claim that men have a higher rate of red/green color blindness. (Note: Type ‘‘p_m′′‘ for the symbol pm , for example p_m not=p_w for the proportions are not equal, p_m>p_w for the proportion of men with color blindness is larger, p_m<p_w, for the proportion of...
In a study of red/green color blindness, 700 men and 2500 women are randomly selected and...
In a study of red/green color blindness, 700 men and 2500 women are randomly selected and tested. Among the men, 63 have red/green color blindness. Among the women, 7 have red/green color blindness. Test the claim that men have a higher rate of red/green color blindness. (Note: Type ‘‘p_m′′‘‘p_m″ for the symbol pmpm , for example p_mnot=p_wp_mnot=p_w for the proportions are not equal, p_m>p_wp_m>p_w for the proportion of men with color blindness is larger, p_m<p_wp_m<p_w , for the proportion of...
In a study of red/green color blindness, 950 men and 2700 women are randomly selected and...
In a study of red/green color blindness, 950 men and 2700 women are randomly selected and tested. Among the men, 90 have red/green color blindness. Among the women, 7 have red/green color blindness. Test the claim that men have a higher rate of red/green color blindness. (Note: Type ‘‘p_m" for the symbol pm , for example p_mnot=p_w for the proportions are not equal, p_m>p_w for the proportion of men with color blindness is larger, p_m The test statistic is: Construct...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT