The null hypothesis always contain = sign.
And alternative hypothesis contais the statmesta that we want to test.
Write the null and alternative hypotheses you would use to test the following situation. A weight...
SHORT ANSWER: (A) State the null and alternative hypotheses using words or mathematical symbols. (B) Define p-value (conditional probability) in context. (CUsing alpha 0.05. provide an appropriate conclusion to the hypothesis testing in context 4) After a political ad campaign for a city's mayor, pollsters check the disapproval ratings. They test the hypothesis that the ads produced no change against the alternative that the ratings are now below 13%, and found a P-value of 0.11. Provide an appropriate conclusion. 5)...
A weight loss center provided a loss for 72% of its participants. The center's leader decides to test a new weight loss strategy on a random sample size of 140 and found 109 participants lost weight. Should the center continue its new strategy? Test an appropriate hypothesis using a = 0.02 and state your conclusion. Be sure the appropriate assumptions and conditions are satisfied before you proceed z- -1.54; P-value0.9382. The center should continue with the new strategy There is...
A weight loss center provided a loss for 72% of its participants. The center's leader decides to test a new weight loss strategy to see if it's better and receives a P-value of 0.23. What is reasonable to conclude about the new strategy using a 0.1? We can say there is a 23% chance of seeing the strategies being equally effective in the results we observed from natural sampling variation. There is no evidence the new strategy is more effective,...
(20 points) (a) Find the P - value for the test statistic z = -1.41 for the following null and alternative hypotheses: Ho: The population mean is 50 Ha: The population mean is less than 50. . The P - value is 0.0793 (b) Find the P - value for the test statistic z = -1.41 for the following null and alternative hypotheses: Ho: The population mean is 50. Ha: The population mean is not equal to 50. The P...
For the following hypothesis test, determine the null and alternative hypotheses. Also, classify the hypothesis test as two tailed, left tailed, or right tailed The mean local monthly bill for cell phone users in this country was $43.56 in 2001. A hypothesis test is to be performed to determine whether last year's mean local monthly bill for cell phone users has decreased from the 2001 mean of $43.56 Choose the correct null and alternative hypotheses below OA. Ho : μ...
Given the null and alternative hypotheses below, test the hypothesis using a = 0.01 assuming that a sample of n = 200 yielded x = 106 items with the desired attribute. Ho p20.59 HA P<0.59 Check the requirement for a hypothesis test for a proportion In this situation, np is (Type integers or decimals.) 5 and n(1-P)= 75. Thus, the requirement satisfied What is the test statistic? z= (Round to two decimal places as needed) What is the p-value? p-value...
The null and alternative hypotheses for a test are given, as well as some information about the actual sample and the statistic that is computed for each randomization sample. Indicate where the randomization distribution will be centered. Ho : p= 0 vs Ha : p=0 Sample: r = -0.23, n = 40 Randomization statistic: r
Suppose that the null and alternative hypotheses for a study on the average weight for an animal species are given below: H0∣μ=32.1mg Ha∣μ≠32.1mg Assume that you construct a confidence interval from a sample that is given by: (C.I.)μ95%=(38.5,48.2)mg Define δto be the distance from the null-hypothesis claim to the closest boundary of the obtained confidence interval. This is one metric that can be used to determine the "strength" of the hypothesis test conclusion. What is the value of δfor this...
Below are the null and alternative hypotheses. Given this information, are you using a one or two-tailed test? HO : LaTeX: \mu\:\le μ ≤ 99 HA : LaTeX: \mu> μ > 99
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...