You are testing to see if p1 = .2, p2 = .3 and p3 = .5. You take a sample of size100 and tind 22 of the first population, 27 of the second population and 51 from the third population.Test Ho : P1 = .2, p2 = .3 and p3 = .5 against H1 : not Ho using alpha = .05.

In the given problem it is asked to test whether the sample follows the proportion given in the null…

Answered: You are testing to see if p1 = .2, p2 =…

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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Two researchers conduct separate studies to test Ho: p=0.50 against Ha: p0.50, each with n = 400. Researcher A gets 226 observations in the category of interest, and p= 6=226/400=0.565. Researcher B gets 225 in the category of interest, and p = 225/400=0.5625. Complete parts (a) through (d) below. a. Find the z-scores and P-values for both researchers. Researcher A Z = Researcher B Z = P-value = P-value = (Round the z-scores to two decimal places as needed. Round the P-values to three decimal places as needed.) The result in case A is The result in case B is b. Using α = 0.01, indicate in each case whether the result is "statistically significant." Interpret. What does the statistical significance of the results above imply? OA. A difference in conclusions between two hypothesis tests does not necessarily mean that the test with the result that is deemed "statistically significant" is actually much more significant than the test with the result that is deemed "not statistically…
If α = .05, is this difference statistically significant?
You are testing to see if Ho: You have that s1 = 25, ng = 12 and the sample mean for the first population is 16. For the second sample, you have $2 = 30, n2 = 8 and a population mean = 25. Test using alpha = .05.
Pain medications sometimes come with side effects. One side effect is dizziness. A researcher wanted to determine if some pain medications produced more or less dizziness than others. The results from his study are shown in the table below. Use a test to determine if the proportion of people within each treatment group who experienced dizziness are the same at the α = .01 level of significance. Tordol Placebo Naproxen Tylenol Advil Dizziness 83 32 36 5 8 No dizziness 4063 1832 1330 382 337 1) Determine the null and alternative hypotheses. Select the correct pair. Ho:The proportion of people within each treatment group who experienced dizziness are independentHa: The proportion of people within each treatment group who experienced dizziness are dependent Ho:The proportion of people within each treatment group who experienced dizziness are the sameHa: The proportion of people within each treatment group who experienced dizziness are different 2) Determine the…
If you selected a sample of n = 35 from a population whose μ = 56 and σ= 12, what would you expect the sample mean to be?
The difference in the observed neurological disease rate, xbar, for a sample of veterans who served in Iraq is not “statistically significantly different” (alpha = .05), from the overall population disease rate for all U.S. veterans, mu0. This means: a. xbar = mu0b. The disease rates xbar and mu0 are not equal, but the size of the difference is not practically important, not big enough to matter. c. H0: mu for Iraq vets = mu0 was not rejected d. None of the above
For your study on the food consumption of teenage males, you randomly selected 20 males and ask each how many 12-ounce servings of soda he drinks each day. The results are listed below. At alpha = 0.1, is there enough evidence to support the claim that teenage males drink fewer than five 12-ounce servings of soda per day? The hypothesis test. 3.3, 4.1, 3.5, 2.7, 3.4, 3.3, 4.8, 3.4, 5.2, 3.2, 2.5, 3.8, 5.0, 1.9, 3.9, 5.3, 2.9, 1.8, 4.2, 2.2
When we test the hypothesis that the population proportions are equal, we can use the Z test for a one-sided as well as a two-sided alternative. Select one: a. False b. True C. Not sure
You are thinking about opening a restaurant and are searching for a good location. From research you have done, you know that the mean income of those living near the restaurant must be over $85,000 to support the type of upscale restaurant you wish to open. You decide to take a simple random sample of 50 people living near one potential location. Based on the mean income of this sample, you will perform a test of Ho : μ = $85,000 Haμ> $85,000 where is the true mean income in the population of people who live near the restaurant. Which of the following is not true regarding Type I and Type II errors in this setting? All of these statements are true. A possible consequence of a Type I error here is you may open your restaurant in a location where the residents will not be able to support it, so your restaurant may go out of business. A Type I error occurs when you find convincing evidence that the mean income of all residents near the restaurant exceeds $85,000 when in reality it does…
For a population with u = 84 and o = 4, what is the z-score corresponding to X= 80? O -1,00 +1,00 O+1.25 -1.50
We have Ho : p = .4 and H1: p > .4. You run 50 experiments and find that the sample proportion is .42. Use alpha = .01 to test the hypothesis.
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You are testing to see if p1 = .2, p2 = .3 and p3 = .5. You take a sample of size 100 and tind 22 of the first population, 27 of the second population and 51 from the third population. Test Ho : P1 = .2, p2 = .3 and p3 = .5 against H1 : not Ho using alpha = .05.