Y~Bin(n,p). 15 of 100 samples are successes.
Test the null hypothesis
H0 : p = 0.10 against the alternative Ha : p > 0.10
at level alpha = 0.1
Find the p value.
Y~Bin(n,p). 15 of 100 samples are successes. Test the null hypothesis H0 : p = 0.10...
Suppose we want to test the null hypothesis H0 : p = 0.34 against the alternative hypothesis H1 : p > 0.34. Suppose also that we observed 120 successes in a random sample of 300 subjects and the level of significance is 0.05. What is the observed test statistic for this test? a. -2.194 b. 2.194 c. 0.05 d. 0.4
A test of the null hypothesis H0: μ = μ0 gives test statistic z = 0.45. (Round your answers to four decimal places.) (a) What is the P-value if the alternative is Ha: μ > μ0? (b) What is the P-value if the alternative is Ha: μ < μ0? (c) What is the P-value if the alternative is Ha: μ ≠ μ0?
A test of the null hypothesis H0: μ = μ0 gives test statistic z = 0.66. (Round your answers to four decimal places.) (a) What is the P-value if the alternative is Ha: μ > μ0? (b) What is the P-value if the alternative is Ha: μ < μ0? (c) What is the P-value if the alternative is Ha: μ ≠ μ0?
(07.01 MC) A t statistic was used to conduct a test of the null hypothesis H0: µ = 2 against the alternative Ha: µ ≠ 2, with a p-value equal to 0.067. A two-sided confidence interval for µ is to be considered. Of the following, which is the largest level of confidence for which the confidence interval will NOT contain 2? (4 points) A. A 90% confidence level B. A 93% confidence level C. A 95% confidence level D. A...
Explain what the below mathematical information means in written paragraph or two : NULL HYPOTHESIS H0: ALTERNATIVE HYPOTHESIS Ha: Not all means are equal. alpha=0.05 Test statistic F=16.821 P value=0.000 Since P value SMALLER than the level of significance therefore SIGNIFICANT. Decision: DO NOT REJECT H0. Conclusion: There is sufficient evidence to conclude that the marks obtained by the Brothers are different.
For a test of H0: p equals=0.50, the z test statistic equals 1.67. Use a level of significance of 0.05. Use this information to complete parts (a) through (d) below. a. Find the P-value for > 0.50. b. Find the P-value for Ha: p≠0.50. c. Find the P-value for Ha: p<0.5 (Hint: The P-values for the two possible one-sided tests must sum to 1.) d. Do any of the P-values in (a), (b), or (c) give strong evidence against H0?...
Truth p ~ Two samples are drawn to test the hypothesis, H0: p = 0.5 vs HA: p <0.5H0: p = 0.5 vs HA: p <0.5 n1=n2=123n1=n2=123 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?
Your research supervisor wants you to test the null hypothesis H0: μ = 25 against the one-sided alternative hypothesis Ha: μ < 25. The population has a normal distribution with a variance of 16. You are told to use a sample size of 100 and a rejection region of . State the probability of a Type II error for this test of significance to four digits to the right of the decimal point under the alternative hypothesis that μ = 24.
In testing Null hypothesis H0:β2=10 H 0 : β 2 = 10 and alternative hypothesis H0:β2≠10 H 0 : β 2 ≠ 10 using a 1% significance level, you find a p-value of 0.05. What should you conclude? Select one: a. There is not sufficient evidence to reject null hypothesis (H0) so we maintain the null hypothesis by default. b. H0 is not true, and thus β2=c. β 2 = c . c. H0 should be rejected and is unlikely...
2) Use critical values and p-values to test the null hypothesis H0: μ1 − μ2 ≤ 20 versus the alternative hypothesis Ha: μ1 − μ2 > 20 by setting α equal to .10. How much evidence is there that the difference between μ1 and μ2 exceeds 20?