What conclusion would be appropriate for an upper-tailed chi-squared test in each of the following situations?LUSE SALT(a) a=0.05, df = 4, x² = 11.25O We would reject HoO We would fail to reject Ho.(b) a = 0.01, df = 3, x² = 8.52O We would reject HoO We would fail to reject Ho(c) a = 0.10, df -2, x² - 4.06=O We would reject HoO We would fail to reject Ho(d) a = 0.01, k = 6, x² = 11.80O We would reject Ho-O We would fail to reject Ho

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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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What conclusion would be appropriate for an upper-tailed chi-squared test in each of the following situations? A USE SALT (a) a = 0.05, df = 4, x² = 10.25 O We would reject Ho. O We would fail to reject Hg. (b) a = 0.01, df = 3, x? = 8.55 O We would reject Ho. O We would fail to reject Ho. (c) a = 0.10, df = 2, x2 = 4.46 O We would reject Ho. We would fail to reject Ho. (d) a = 0.01, k = 6, x? = 11.40 O We would reject Ho- O We would fail to reject Ho.
You wish to test the following claim (Ha) at a significance level of a = 0.01. You believe both populations are normally distributed, but you do not know the standard deviations for either. And you have no reason to believe the variances of the two populations are equal You obtain a sample of size n = 26 with a mean of E = 65.1 and a standard deviation of s1 = 20.3 from the first population. You obtain a sample of size ny = 27 with a mean of ī2 = 81.8 and a standard deviation of s2 = 14.9 from the second population. a. What is the test statistic for this sample? test statistic = Round to 3 decimal places. b. What is the p-value for this sample? For this calculation, use. p-value = Use Technology Round to 4 decimal places. c. The p-value is... O less than (or equal to) a O reater than a d. This test statistic leads to a decision to... O reject the null O accept the null O fail to reject the null e. As such, the final conclusion is that... O There is sufficient evidence to warrant…
You wish to test the following claim (Ha) at a significance level of a = 0.001. t = I1:"H You believe both populations are normally distributed, but you do not know the standard deviations for either. And you have no reason to believe the variances of the two populations are equal You obtain a sample of size n = 20 with a mean of E = 79.7 and a standard deviation of s1 = 11.5 from the first population. You obtain a sample of size nr = 26 with a mean of I2 = 81.7 and a standard deviation of s2 = 10.4 from the second population. a. What is the test statistic for this sample? test statistic = Round to 3 decimal places. b. What is the p-value for this sample? For this calculation, use. p-value = Use Technology, Round to 4 decimal places. c. The p-value is... O less than (or equal to) a O greater than o d. This test statistic leads to a decision to.. O eject the null O accept the null O fail to reject the null e. As such, the final conclusion is that... O There is sufficient evidence to…
Need the H0 and H1 values. Can use != for not equal to.
#16
Help me answer the following question in the pictures with the information below: Women athletes at a certain university have a long-term graduation rate of 67%. Over the past several years, a random sample of 36 women athletes at the school showed that 21 eventually graduated. Does this indicate that the population proportion of women athletes who graduate from the university is now less than 67%? Use a 10% level of significance.
Hi I was wondering how I could solve this
Scenario: 200 people were asked, “Who is your favorite superhero?” Below are the data. Test the null hypothesis that the population frequencies for each category are equal. α= .05. Iron Man Black Panther Wonder Woman Spiderman fo = 40 fo = 60 fo =55 fo = 45 fe = fe = fe = fe = What is the correct result based on the data?
What conclusion would be appropriate for an upper-tailed chi-squared test in each of the following situations? In USE SALT (a) a = 0.05, df = 4, x² = 11.75 O we would reject Ho. O We would fail to reject Hg. (b) a = 0.01, df = 3, x? = 8.59 O We would reject Ho. O We would fail to reject Ho. (c) a = 0.10, df = 2, x2 = 4.46 O We would reject Ho. O We would fail to reject Hg. a = 0.01, k = 6, x? = 11.60 (d) O We would reject Ho. O We would fail to reject Ho.
You are a researcher who wants to know what the mean (µ) level of anxiety would be for the whole population if they were all receiving a new anti-anxiety therapy. You can’t give the therapy to the whole population, so you give it to a sample, and you get M = 32.1 as the average anxiety level for the sample on the therapy. What is the reason that you can’t just simply assume that µ = 32.1? You didn’t use random assignment Sampling error Descriptive statistics Inferential statistics
answer 1
Note: For this problem, your answer should be rounded to two decimal places. In a particular municipality, it is believed that 25 percent of homes are not properly insulated. In order to test ?0:?=.25 vs. ??:?≠.25 (where ? is the population proportion of homes that are not properly insulated) a random sample of 300 homes was selected. In the sample, it was found that 108 homes were not properly insulated. If the null hypothesis is true, then the z-score for the sample proportion is:

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