Question

Truth p ~ Two samples are drawn to test the hypothesis, H0: p = 0.5 vs...

Truth p ~ Two samples are drawn to test the hypothesis, H0: p = 0.5 vs HA: p <0.5 n1=n2=123 However, the samples yield different sample proportions.

Consider the statement:

The samples will produce different p-values for the hypothesis test above.

Is this statement always true, sometimes true or never true?

Homework Answers

Answer #1

For testing the hypothesis

Ho : p = 0.5

Ha : p < 0.5

we calculate the test statistic as given below

where p = 0.5          ,,, population proportion

p̂ is the sample proportion

and n is the sample size

For the 2 samples under consideration

n is same which is equal to 123

p is same which is equal to 0.5

but

p̂ which is the sample proportion is different

Hence, the value of test statistic z would be different

Since the z score is different, the p-value has to be different

Hence, the samples will produce different p-values for the hypothesis test above.

Answer :

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 H0: p= 0.5 vs Ha: p > 0.5 using a sample proportion of p^ =...
Test H0: p= 0.5 vs Ha: p > 0.5 using a sample proportion of p^ = 0.57 and a sample size of n= 40. What is the standardized test statistic, z? A 0.885 B 0.07 C 0.871 D 0.894 Test H0: p= 0.5 vs Ha: p > 0.5 using a sample proportion of p^= 0.57 and a sample size of n= 40. Using your standardized test statistic from the previous question, compute the p-value for this hypothesis test. Hint: the...
a. If for the test of H0: μ = μ h   vs. Ha: μ ≠ μ...
a. If for the test of H0: μ = μ h   vs. Ha: μ ≠ μ h the null hypothesis cannot be rejected at α = .05, then it ______ be rejected at α = .10 for the test of H0: μ = μ h   vs. Ha: μ > μ h. A. might B. must always C. will never ​​​​​​​b. If the 80% confidence interval for μ contains the value μ h, then the P-value for the test of H0:...
Consider the following hypothesis statement using a = 0.10 and data from two independent samples: H0:μ1...
Consider the following hypothesis statement using a = 0.10 and data from two independent samples: H0:μ1 – μ2 ≤ 0 H1:μ1 – µ2 > 0 X1 = 86   x2 = 78 Ó1 = 24   Ó2 = 18 N1 = 50   n2 = 55 a) Calculate the appropriate test statistic and interpret the result. b) Calculate the p-value and interpret the result.
: Consider the test of H0 : p = 0.7 Vs. Ha : µ > 0.7...
: Consider the test of H0 : p = 0.7 Vs. Ha : µ > 0.7 using a random sample of 400 values and α = 1%. Find the power of the test when pa = 0.75.
A test of H0: p = 0.5 versus Ha: p > 0.5 has the test statistic...
A test of H0: p = 0.5 versus Ha: p > 0.5 has the test statistic z = 1.15. Part A: What conclusion can you draw at the 5% significance level? At the 1% significance level? (6 points) Part B: If the alternative hypothesis is Ha: p ≠ 0.5, what conclusion can you draw at the 5% significance level? At the 1% significance level?
Consider the following hypothesis test.                         H0: μ1 - μ2 ≤ 0          &nbs
Consider the following hypothesis test.                         H0: μ1 - μ2 ≤ 0                         Ha: μ1 - μ2 > 0                         n1 = 40,              1 = 25.2,                  σ1    = 5.2                                            n2 = 50,              2 = 22.8,                  σ2   = 6.0             a. What is the value of the test statistic?             b. What is the p-value?             c. With α = 0.05, what is your hypothesis-testing conclusion?
Consider the following hypothesis test. H0: 1 - 2 ≤ 0 Ha: 1 - 2 >...
Consider the following hypothesis test. H0: 1 - 2 ≤ 0 Ha: 1 - 2 > 0 The following results are for two independent samples taken from the two populations. Sample 1 Sample 2 n1 = 40 n2 = 50 x1 = 25.2 x2 = 22.8 σ1 = 5.2 σ2 = 6.0 a. What is the value of the test statistic (round to 2 decimals)? b. What is the p-value (round to 4 decimals)? Use z-table. c. With = .05,...
1.For testing H0 : p = 0.5 vs. Ha : p < 0.5 at level α,...
1.For testing H0 : p = 0.5 vs. Ha : p < 0.5 at level α, let a sample of size n = 100 is taken. What would be an appropriate rejection region? A. t0 < tα B. z0 < zα C. z0 > zα D. |z0| > zα/2 2. A test statistic A. is a function of a random sample used to test a hypothesis. B. is a function of a parameter used to test a hypothesis. C. is...
Consider the following hypothesis statement using alphaαequals=0.10 and data from two independent samples. Assume the population...
Consider the following hypothesis statement using alphaαequals=0.10 and data from two independent samples. Assume the population variances are equal and the populations are normally distributed. Complete parts below. H0: μ1−μ2 = 0 x overbar 1 = 14.8 x overbar 2 = 13.0 H1: μ1−μ2 ≠ 0 s1= 2.8 s2 = 3.2 n1 = 21 n2 = 15 a.) what is the test statistic? b.) the critical values are c.) what is the p value?
Test the null hypothesis H0:p=0.5against the alternative hypothesis HA:p<0.5, when 89 individuals in a random sample...
Test the null hypothesis H0:p=0.5against the alternative hypothesis HA:p<0.5, when 89 individuals in a random sample of 218 have a characteristic of interest. Proportions are very sensitive to round-off error. Please ensure that you attempt to round p^as little as possible. a) Calculate the value of the z test statistic, for testing the null hypothesis that the population proportion is 0.5. Round your response to at least 3 decimal places. b) The p-value falls within which one of the following...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT