A hypothesis test for H0:μ=47 against a two tailed alternative found tc=1.47 where n = 12. What would be the appropriate p-value?
A hypothesis test for H0:μ=47 against a two tailed alternative found tc=1.47 where n = 12....
(a) Suppose the null and alternative hypothesis of a test are: H0: μ= 9.7 H1: μ >9.7 Then the test is: left-tailed two-tailed right-tailed (b) If you conduct a hypothesis test at the 0.02 significance level and calculate a P-value of 0.07, then what should your decision be? Fail to reject H0 Reject H0 Not enough information is given to make a decision
Consider the following hypothesis test. H0: μ ≤ 12 Ha: μ > 12 A sample of 25 provided a sample mean x = 14 and a sample standard deviation s = 4.28. (a) Compute the value of the test statistic. (Round your answer to three decimal places.) (b) Use the t distribution table to compute a range for the p-value. p-value > 0.2000.100 < p-value < 0.200 0.050 < p-value < 0.1000.025 < p-value < 0.0500.010 < p-value < 0.025p-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
For the hypothesis test H0: μ = 10 against H1: μ > 10 and variance known, calculate the P-value for each of the following test statistics. (a) z0 = 2.15, (b) z0 = -1.75
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...
12. (a) A two-tailed test of a one-sample hypothesis of a mean yields a test statistic of z= 1.47. What's the p-value? (b) A one-tailed test of a two-sample hypothesis involving the difference of sample means yields t= 1.85, with 12 degrees of freedom. What is the p-value?
1. What are null hypothesis and alternative hypothesis? 2. Inastatisticaltest,wehavethechoiceofatwo-tailedtest,aleft- tailed test, or a right-tailed test. Which hypothesis is the determining factor for choosing the direction of the test? (In other words, how would you decide it) 3. Forthesamesampledataandnullhypothesis,howdoesthe P-value for a two-tailed test compare to that for a one-tailed test? 4. Using P-value method, how would you reject or fail to reject the null hypothesis? (what is the decision criteria?) How does level of significance matter to the hypothesis...
The null and alternative hypotheses are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. What parameter is being tested? H0: μ = 9 H1: μ > 9 What type of test is being conducted in this problem? Left-tailed test Right-tailed test Two-tailed test What parameter is being tested? A )POPULATION MEAN B) POPULATION STANDARD DEVIATION C) POPULATION PORPORTION
PART 1. If your null and alternative hypothesis are: H0:μ=93 H1:μ>93 Then the test is: right tailed two tailed left tailed PART 2. The purpose of ANOVA is to: Compare mean differences for 2 or more groups using averages Compare mean differences for 2 or more using variance Compare mean differences using standard error None of the above
You are conducting a t-test to assess the null hypothesis H0: μ = 50 against the two-sided alternative. You collect a random sample of n=25 observations. The sample has a mean of 55 and a standard deviation of 10. How many degrees of freedom does the test have? Assume the underlying distribution is normal.