When testing the hypotheses:
H0: μ = 0.88
H1: μ < 0.88
a test statistic of t0 = -1.733 with p-value = 0.1442 is obtained. Upon repeated experimentation, what is the probability of obtaining another test statistic less than -1.733?
When testing the hypotheses: H0: μ = 0.88 H1: μ < 0.88 a test statistic of...
You need to test H0: μ=10 against H1: μ>10. The test statistic was found to be, Ztest=1.72. The P value of the test should be: 0.0427 0.9573 0.0854 You need to test H0: μ=100 against H1: μ<100. The P value of the test was found to be 0.0001. A possible 95% confidence interval is: -∞, 99.5 -∞, 78.6 110.3, ∞ A 95% upper confidence interval for the tensile strength of 0.05 millimeter (mm) Sisal fiber in Megapascals...
Given the following hypotheses: H0: μ ≥ 20 H1: μ > 10 A random sample of five resulted in the following values: 18, 15, 12, 19, and 21. Assume a normal population. Using the 0.01 significance level, can we conclude the population mean is less than 20? a). Compute the value of the test statistic. (Negative amount should be indicated by a minus sign. Round your answer to 2 decimal places.)
33.6 34.8 30.5 36 35.8 Test the hypotheses H0: μ = 35 versus H1: μ < 35, using α= 0.05. What is the P-value Should the null be rejected or fail to reject
For a test of a mean, which of the following is incorrect? A) If H0: μ ≤ 100 and H1: μ > 100, then the test is right-tailed. B) H0 is rejected when the calculated p-value is less than the critical value of the test statistic. C) The critical value is based on the researcher's chosen level of significance. D) In a right-tailed test, we reject H0 when the test statistic exceeds the critical value.
3) For the hypothesis test H0: μ = 5 against H1: μ < 5 with variance unknown and n = 12, approximate the P-value for each of the following test statistics. a) t0 = 2.05 b) t0 = −1.84 c) t0 = 0.4 EXPECTED ANSWERS: a) 0.95 ≤ p ≤ 0.975 b) 0.025 ≤ p ≤ 0.05 c) 0.6 ≤ p ≤ 0.75
Testing: H0:μ=21.41H0:μ=21.41 H1:μ≠21.41H1:μ≠21.41 Your sample consists of 46 subjects, with a mean of 21.5 and standard deviation of 3.58. Calculate the test statistic, rounded to 2 decimal places. t=t= Suppose are running a study/poll about the proportion of men over 50 who regularly have their prostate examined. You randomly sample 136 people and find that 75 of them match the condition you are testing. Suppose you are have the following null and alternative hypotheses for a test you are running:...
Given the following hypotheses: H0: μ = 600 H1: μ ≠ 600 A random sample of 16 observations is selected from a normal population. The sample mean was 609 and the sample standard deviation 6. Using the 0.10 significance level: State the decision rule. (Negative amount should be indicated by a minus sign. Round your answers to 3 decimal places.) Reject H0 when the test statistic is outside the interval ( , ). ? Compute the value of the test...
#1 part A.) To test H0: μ=100 versus H1: μ≠100, a random sample of size n=20 is obtained from a population that is known to be normally distributed. Complete parts (a) through (d) below. (aa.) If x̅=104.4 and s=9.4, compute the test statistic. t0 = __________ (bb.) If the researcher decides to test this hypothesis at the α=0.01 level of significance, determine the critical value(s). Although technology or a t-distribution table can be used to find the critical value, in...
A test of H0: μ = 50 versus H1: μ ≠ 50 is performed using a significance level of α = 0.01. The value of the test statistic is z = 1.23. a. Is H0 rejected? b. If the true value of μ is 50, is the result a Type I error, a Type II error, or a correct decision? A test of H0: μ = 50 versus H1: μ ≠ 50 is performed using a significance level of α...
To test H0: μ= 100 versus H1: μ ≠ 100, a simple random sample size of n = 16 is obtained from a population that is known to be normally distributed.(a) x̅ = 104.7 and s = 8.4. compute the test statistic.