The p-value for testing H0 : p = 0.50 versus Ha : p ≠ 0.50 is 0.01. Which of the following describes what 0.01 means:
(a) There is strong evidence that p = 0.50.
(b) The probability that p = 0.50 is 0.01.
(c) There is strong evidence that p ≠ 0.50.
(d) The probability that p ≠ 0.50 is 0.01.
For a test of population proportion H0: p = 0.50, the z test statistic equals 1.16. Use 3 decimal places. (a) What is the p-value for Ha: p > 0.50? (b) What is the p-value for Ha: p ≠ 0.50? (c) What is the p-value for Ha: p < 0.50? (Hint: The p-values for the two possible one-sided tests must sum to 1.) (d) Which of the p-values give strong evidence against H0? Select all that apply. The p-value in...
Find the critical value for testing H0: ?H0: ? = 14.93 versus Ha: ?Ha: ? > 14.93 at significance level 0.005 for a sample of size 25. Round your final answer to three decimal places.
In testing H0: µ = 3 versus Ha: µ ¹ 3 when =3.5, s = 2.5, and n = 100, what is the p-value? a.0.0700 b.0.0228 c.0.0655 d.0.0456
For a test of H0: p = 0.50, the z test statistic equals 1.04. Use 3 decimal places. (a) What is the p-value for H: p > 0.50? (b) What is the p-value for H: p 0.50? (c) What is the p-value for H: p < 0.50? (Hint: The p-values for the two possible one-sided tests must sum to 1.) (d)Which of the p-values give strong evidence against H0?Select all that apply. 1.The p-value in (a). 2.The p-value in (b)....
Suppose that when data from an experiment was analyzed, the P-value for testing H0: μ = 50 versus Ha: μ > 50 was calculated as .0244. Which of the following statements are true? A. H0 is not rejected at .05 level B. H0 is not rejected at .025 level C. H0 is rejected at any level α D. H0 is rejected at .10 level
In testing H0: µ = 100 versus Ha: µ ╪ 100 versus using a sample size of 325, the value of the test statistic was found to be 2.16. The p-value (observed level of significance) is best approximated by 0.0154 0.9692 0.4846 0.0308 0.007
6. Testing Ho : p = 0.75 versus Ha : p > 0.75 when the sample has n = 20, ˆp = 0.50. (a) Verify that the sample size is large (b) Find the standard error for ˆp (c) Find the value of the standardized z-test statistic
When testing the hypotheses H0: p = 0.60 and Ha: p > 0.60, you check that the normal is appropriate by showing that a. p 10 b. you have a random sample c. n 30 OR NPP P-value > .05 d. n(0.60)(1 – 0.60) 10
Consider testing H0: p=0.1 versus H1: p<0.1. If the standardized critical value is -1.00 (i.e. the standardized rejection region is from negative infinity to -1.00) then what was the selected significance level (alpha)? (Answer as a probability, not a percent. Record your answer accurate to at least the nearest THIRD decimal place with standard rounding.)
Multiple Choice: In testing the hypotheses H0: B1 = 0 vs. Ha: B1 ≠ 0 with alpha = 0.05, the calculated value of our test statistic is T = 3.45. The critical value from our t-table is t0.025 = 2.306. What conclusion should be made? a) Do not reject H0, there is evidence that X contributes information to the prediction of Y. b) Reject H0, there is evidence that X contributes information to the prediction of Y. c) Do not...