Suppose you test null hypothesis Ho : μι_Ha versus Ha : μ.μ2 , software gives 12.3 degrees of fre...
Consider conducting a hypothesis test in which the null and alternative hypotheses are: Ho: ? ? c Ha: ? > c Where c is some hypothesized value. Suppose the significance level is 0.02, the test statistic is positive, and the statistical decision is to FTR Ho. If we redo the test at ? = 0.05, our statistical decision would be: ---Select--- There is not enough information to make a decision at 0.05 FTR Ho at ? = 0.05 Reject Ho at...
Decide whether or not to reject the null hypothesis in favor of the alternative hypothesis at significance level α=0.05 α=0.05 based on the following information: n=32, HA: μ>200: μ>200, T=2.1. I recommend that you sketch the area that represents the p-value.
Need assistance solving statistics problem. Symbolically the null hypothesis (Ho) and the alternative hypothesis (Ha) for an ANOVA with three groups/evels would be: 01H0: μ1-μ2-μ3 and Ha: μί sik for some i, k 03. Ha' μ1-12-p3 and Hom»μk for some i, k Moving to another question will save this response. O00 FA F3 SC 0
9 Test the null hypothesis Ho : u = 3.0against the alternative hypothesis HA: U < 3.0 , based on a random sample of 25 observations drawn from a normally distributed population with ū = 2.8 and o = 0.70. a) What is the value of the test statistic? Round your response to at least 3 decimal places. Number b) What is the appropriate p-value? Round your response to at least 3 decimal places. Number c) Is the null hypothesis...
Decide whether or not to reject the null hypothesis in favor of the alternative hypothesis at significance level α = 0.05 α=0.05 based on the following information: n = 32 n=32, HA : μ ≠ 200 H A :μ =200, T = 0.001 T=0.001. I recommend that you sketch the area that represents the p-value.
The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject H when the level of significance is (a) a= 0.01, (b) a 0.05, and (c) a0.10. P 0.0749 (a) Do you reject or fail to reject Ho at the 0.01 level of significance? O A. Reject H because the P-value, 0.0749, is greater than a=0.01 O B. Fail to reject Ho because the P-value, 0.0749, is less than a = 0.01 O C. Reject...
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...
Suppose a hypothesis test is conducted using a significance or alpha level of 0.05, and the null hypothesis is rejected. This means that? A we would also reject the null hypothesis if the significance level had been 0.10 instead of 0.05. B the p-value was greater than 0.05. C we would also reject the null hypothesis if the significance level had been 0.01 instead of 0.05. D All answer options are correct.
Suppose that we wish to test the null hypothesis Ho that the proportion p of ledger sheets with errors is equal to .05 versus the alternative Ha , that the proportion is larger than .05, by using the following scheme. Two ledger sheets are selected at random. If both are error free, we reject Ho. If one or more contains an error, we look at a third sheet. If the third sheet is error free, we reject Ho. In all...
Identify the null hypothesis, alternative hypothesis, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Test the claim about the population mean u at the level of significance a. Assume the population is normally distributed. Claim:us 45; a = 0.01; 0 = 4.3 Sample statistics: x = 46.8, n = 40 Fail to reject Ho. There is enough evidence at the 1% level of significance to support the claim. Reject Ho. There is enough evidence...