We want to test
(proportion of men who own cats = proportion of women who own cats
)
( proportion of men who own cats < proportion of women who own
cats )
This corresponds to left tailed test.
Based on the information provided, the significance level is α=0.1, and the critical value for a left-tailed test is Zc= −1.28.
For test statistic data not provided.
Only 2 of my answers are correct. I know reject is correct but im unsure of...
Test the claim of the proportion of men who own cats is smaller than the proportion of women who own cats at the .10 significance level. left tailed right tailed two tailed test statistic critical value reject or accept the null
Question 3 1/4 pt Test the claim that the proportion of men who own cats is smaller than the proportion of women who own cats at the.10 sign ificance level. 0.00006 left tailed right tailed two tailed 3.86 test statistic 1.28 critical value reject reject or accept the null 0/1 pts Question 2 You are testing the claim that the proportion of men who own cats is larger than the proportion of women who own cats. You sample 70 men,...
1. You are testing the claim that the proportion of men who own cats is larger than the proportion of women who own cats. You sample 70 men, and 30% own cats. You sample 170 women, and 10% own cats. Find the proportion of the pooled samples, (p sub c), as a decimal, rounded to two decimal places. 2. Test the claim that the proportion of men who own cats is smaller than the proportion of women who own cats...
Test thc claim that the proportion of men who own cats is smaller than the proportion of women who own cats at the .10 significance level. The null and alternative hypothesis would be: Ho:PM = PF Ho: M2 MF HAM = Mp HP SPP HP 2 Pp H,MyMp H: PM * PF HIMx Hr H: 4x4 HPx > Pr HPx < Pr H. Hy > HF The test is left-tailed right-tailed two-tailed Based on a sample of 80 men, 20%...
Test the claim that the proportion of men who own cats is significantly different than the proportion of women who own cats at the 0.05 significance level. The null and alternative hypothesis would be: H:MM = up H :PM = PF H: PM = PF H:um = Mr Holm Mp Ho: PM = Pp H:Hm > MF H:PM PF H:PM<PF H:MM Hp HMM Hp H:PM > PF o The test is: left-tailed right-tailed two-tailed o o Based on a sample...
I spefically need to see how
the test statistic and critical value is calculated.
Test the claim that the proportion of men who own cats is significantly different than 80% at the 0.02 significance level. The null and alternative hypothesis would be: The test is: left-tailed right-tailed two-tailed Based on a sample of 55 people, 78% owned cats The test statistic is: (to 2 decimals) The positive critical value is: (to 2 decimals) Based on this we: Reject the null...
Test the claim that the proportion of men who own cats is significantly different than the proportion of women who own cats at the 0.01 significance level. The null and alternative hypothesis would be: HPM = PF HOPM = PF HUM = Up HPM = PF H:MM = MF HIM = MF HP <PF HPM > PF HUM > HF HPM + PF HUM uf HUM<Hp The test is: left-tailed right-tailed two-tailed Based on a sample of 40 men, 40%...
1)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=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: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 Correct The test is: right-tailed two-tailed left-tailed Correct Based on a sample of 80 men, 30% owned cats Based on a sample of 60 women, 45% owned cats The test statistic is: (to 2 decimals) The...
Test the claim that the proportion of people who own cats is smaller than 60% at the 0.10 significance level. The null and alternative hypothesis would be: The test is: right-tailed left-tailed two-tailed Based on a sample of 600 people, 58% owned cats The p-value for this test is 0.1587 Based on this we: Fail to reject the null hypothesis and cannot conclude the claim is correct Reject the null hypothesis and conclude the claim is correct