When do you fail to reject the null hypothesis?O computed statistical value< critical valueomputed statstical value <- critical valueOp<0.050.001 p<0.05

Solution We reject the null hypothesis when test statistic lies in the critical region.

Answered: When do you fail to reject the null…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Please answer all parts You wish to test the following at a significance level of α=0.02α=0.02. H0:p=0.62H0:p=0.62 H1:p>0.62H1:p>0.62You obtain a sample of size n=525n=525 in which there are 344 successful observations.For this test, we use the normal distribution as an approximation for the binomial distribution.For this sample... The test statistic (zz) for the data = (Please show your answer to three decimal places.) The p-value for the sample = (Please show your answer to four decimal places.) The p-value is... less than (or equal to) αα greater than αα (Recall that when p(-value) is low, the null must go; when p(-value) is high, the null must fly)Base on this, we should .... accept the null hypothesis reject the null hypothesis fail to reject the null hypothesis As such, the final conclusion is that... The sample data suggest that the population proportion is significantly greater than 0.62 at the significant level of αα = 0.02. The sample data…
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Can you help me find the test statistics and p-value
The question has two parts
Video: What is the Margin of Error? Video: When to Use z-test or t-test? For a normal distribution, assume the 'sample' standard deviation is 2. What is the maximal margin of error associated with a 99% confidence interval for the true population mean if n-31. (Round to two decimal places) ±
Assuming that this sample came from an underlying normal population, test the hypothesis that the population mean = 50 vs population mean < 50. Use 0.05 level of significance- Sample mean- Sample Standard Deviation- Sample size- Test Statistic- Value of Test Statistic- Critical Region- P-value- Decision (Reject or Fail to Reject)- ConclusionPlease include your calculations
Keep getting test statistics and critical value wrong
TRUE OR FALSE The probability of a Type I error is equal to the alpha level The shape of the distribution of sample means will be approximately normal if the sample size is less than 30
Milanmm
The probability of rejecting the null hypothesis when it is false is also called the power of the test True False Increasing the sample size n would increase the acceptance region, and thus a decrease in the critical region/s True False Decreasing the significance level a would increase the interval between the critical values in turn lowering the probability of committing a type I error True False
Can
According to a study conducted five years ago by the Organisation for Economic Cooperation and Development (OECD), the average length of stay in a hospital was 4.9 days in the United States. A researcher in the United States suspects that the average length of stay in a hospital has actually increased in the United States since the study was released by the OECD five years ago. To test his suspicion, the researcher selected a random sample of 191 hospital patients in the United States and calculated the average length of hospital stay. The mean of the sample was found to be 5.06 days. Using a = 0.005, test the hypothesis that the mean length of stay in a hospital in the United States is more than 4.9 days. Assume that the standard deviation of the lengths of all hospital stays in the United States is known to be 0.72 days. Use the p-value method. State the null and alternative hypothesis for this test. Ho:? H₁: ? ✓ Determine if this test is left-tailed, right-tailed, or two-tailed.…

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When do you fail to reject the null hypothesis? O computed statistical value< critical value O computed statistical value < - critical value Op<0.05 O 001