For the following pairs of assertions, indicate which do not comply with our rules for setting up hypotheses and why (the subscripts 1 and 2 differentiate between quantities for two differentpopulations or samples):(а) Но: и 3 100, Н,: и > 100These hypotheses comply with our rules.O H, cannot include equality, so these hypotheses are not in compliance.Each u is a statistic, so these hypotheses do not comply with our rules.The asserted value in H, should not appear in H, so these hypotheses are not in compliance.a'(Б) Но: о —20, H: o < 20These hypotheses comply with our rules.H, cannot include equality, so these hypotheses are not in compliance.Each o is a statistic, so these hypotheses do not comply with our rules.O The asserted value in H, should not appear in H, so these hypotheses are not in compliance.a'(с) Но: р#0.25, Н,: р %3D 0.25These hypotheses comply with our rules.H, cannot include equality, so these hypotheses are not in compliance.aEach p is a statistic, so these hypotheses do not comply with our rules.The asserted value in H, should not appear in H, so these hypotheses are not in compliance.a'

Answered: Image /qna-images/answer/b01c6ace-024e-4e62-b8cc-4e79ba9de886.jpg

Answered: For the following pairs of assertions,…

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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Write the null and alternative hypotheses for the following example. Determine if the example is a case of a two-tailed, a left-tailed, or a right-tailed test. To test if the mean credit card debt of college seniors is less than 1000 dollars. Ho: μ = 1000 dollars, H₁: μ1000 dollars, right-tailed test Ho: μ=1000 dollars, H₁: µ1000 dollars, left-tailed test Ho: μ=1000 dollars, H₁: µ‡1000 dollars, two-tailed test
Mean=3.003 SD =0.058 Num samples=100 2.80 2.90 3 3.10 Sample means A certain fast-food location claims that the average (mean) wait time in the drive-thru lane is 3 minutes. One customer thinks that the average wait time is actually longer than that, and so the customer takes a random sample of drive-thru lane wait times. The customer observes 72 transactions, and the average (mean) wait time for these 72 transactions is 3.6 minutes. In order to conduct a statistical analysis, an applet was used to see if the candidate's claim is plausible. Use the distribution of 100 simulated statistics generated by the applet (pictured above) to answer the questions. a) There are 100 little squares in the simulated distribution. What does each little square represent? O The average wait time of a sample of 72 drive thru transactions if we assume that the average wait time for all transactions is atually 3 minutes. The average wait time of a sample of 100 drive thru transactions if we assume that the…
1. The incidence of cancer among phosphate mine workers and their exposure to radiation was investigated. Cancer incidence was recorded among 60 phosphate mine workers who had 0-29 working level months (WLM) of exposure, 60 phosphate mine workers who had 30-89 WLM of exposure, and 60 phosphate mine workers who had 90-120 WLM of exposure. The number of cancer incidences for each group are presented in Table 1. Table 1: Two-way Table of Counts Cancer Incidence Exposure Level Yes No Total 0-29 WLM 20 40 60 30-89 WLM 33 27 60 90-120 WLM 43 17 60 Total 96 84 180 Perform a x? test, at the 5% level of significance, whether cancer incidence rates differ between the three levels of radiation among phosphate mine workers.
In a food preference experiment, 80 lizards were given the opportunity to choose to eat one of three different species of insects. The results showed that 33 of the lizards chose species A 12 chose species B, and 35 chose species C. They conducted a Chi-squared analysis to test for equal preference. What are the Null and Alternate hypotheses for this test? Clearly label your answers as HO or H1. (Do not use a numerical format. Both of your statements must be in sentence form, and say something about the lizards' preference in order to receive credit.) Edit View Insert Format Tools Table 12pt Paragraphv BI Y A
Let’s assume the average income for all majors in the School of Engineering is $80,000. However, the chair of the Computer Science department thinks their students earn more than that. Please choose the appropriate null and alternative hypotheses if the chair wanted to test this belief. a. H0: u <=80,000 Ha: u > 80,000 b. H0: u= 80000 Ha: u not= 80000 c. H0: u >80000 Ha: u < 80000 d. H0: u >80000 Ha: < 80000 e. None of the above.
You may need to use the appropriate appendix table or technology to answer this question. In 2012, seventy percent of Canadian households had an internet connection. A sample of 370 households taken in 2013 showed that 76% of them had an internet connection. We are interested in determining whether or not there has been a significant increase in the percentage of the Canadian households that have internet connections. (a) State the null and alternative hypotheses to be tested. (Enter != for as needed. Let p be the proportion of all Canadian households with internet connections.) Ho: на: (b) Compute the test statistic. (Round your answer to two decimal places.) (c) The null hypothesis is to be tested at the 5% level of significance. Determine the critical value(s) for this test. (Round your answer(s) to two decimal places. If the test is one-tailed, enter NONE for the unused tail.) test statistic (d) What do you conclude? Do not reject Ho. We can conclude that there has been a…
Looking at youth depression scores from a general sample of random children in the US, we want to determine if our sample is significantly different than the national average of scores of children with depression in the US. The national average of scores on a measure of depression is 5 points. We have no reason to assume it will be higher or lower than the US national average. The sample: 11 9 12 3 3 4 13 1. What is the null and alternative hypotheses? Do not specify any directionality. 2. What did you discover (using 95% Cl)? Provide an interpretation.
Only about 18% of all people can wiggle their ears. Is this percent different for millionaires? Of the 374 millionaires surveyed, 45 could wiggle their ears. What can be concluded at the αα = 0.01 level of significance? For this study, we should use The null and alternative hypotheses would be: H0:H0: (please enter a decimal) H1:H1: (Please enter a decimal) The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 3 decimal places.) The p-value is αα Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest the population proportion is not significantly different from 18% at αα = 0.01, so there is statistically significant evidence to conclude that the population proportion of millionaires who can wiggle their ears is equal to 18%. The data suggest the population proportion is not significantly different from 18% at αα = 0.01, so there is…

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