You wish to test the following claim (a) at a significance level of a =Ho: P1 P2Ha: P₁P2You obtain 139 successes in a sample of size n₁in a sample of size n₂270 from the first population. You obtain 339 successes594 from the second population.==test statistic =p-value =[three decimal accuracy][three decimal accuracy

Answered: Image /qna-images/answer/9ebd0227-bf6a-43af-80b0-0de6ae4aa846.jpg

Answered: YOU Ho: P₁ Ha: P₁ the ollowing claim…

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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need test statistics and p value
A sample of 3 measurements are taken and recorded: a =8, y = 10 and z = 7 The sample mean is: x = = 8.33 Fill in the table below. aj (a; - x)2 Ex: 5.34 Ex: 5.34 Ex: 5.34 82 = (z-z)*+(y-a)* +(z-z) Ex: 5.34 (z-2)*+(y-z)* +(z-) = Ex: 5.34
Aspirin III: Decision and Conclusion Regarding the experiment in the data frame Aspirin from the abd package, the researchers wanted to know whether or not taking aspirin affects one's risk of developing cancer. Recall that they defined their parameters as follows: p1 = the proportion of ALL individuals who would develop cancer, if all of them were to take aspirin like the subjects in the Aspirin group did. p2 = the proportion of ALL individuals who would develop cancer, if all of them were to take a placebo, like the subjects in the placebo group did. They ran the code for a two-sided significance test and got the following results: ## ## ## Inferential Procedures for the Difference of Two Proportions p1-p2:## cancer grouped by treatment ## ## ## Descriptive Results:## ## yes n estimated.prop## Aspirin 1438 19934 0.07214## Placebo 1427 19942 0.07156## ## ## Inferential Results:## ## Estimate of p1-p2: 0.0005805 ## SE(p1.hat - p2.hat): 0.002586 ## ##…
Help me with c and d
twinti4
Do men and women select different breakfasts? The breakfasts ordered by randomly selected men and women at a popular breakfast place are shown below. Frequencies of Breakfasts for Men and Women French Toast Pancakes Waffles Omelets Men 81 59 84 87 Women 114 75 104 58 α = 0.05 significance level The test-statistic for this data = (Please show your answer to three decimal places.) The p-value for this sample = (Please show your answer to four decimal places.) Thus, the final conclusion is... There is sufficient evidence to conclude that the distribution of breakfast ordered for men is the same as it is for women. There is insufficient evidence to conclude that the distribution of breakfast ordered for men is not the same as it is for women. There is sufficient evidence to conclude that the distribution of breakfast ordered for men is not the same as it is for women There is sufficient evidence to conclude that breakfast ordered and gender are dependent. There is…
INFERENCE FOR SINGLE POPULATION PROPORTION (CONFIDENCE INTERVAL) 11. A random sample of 400 electronic components manufactured by a certain process is tested, and 30 are found to be defective. i. Let p be the proportion of defective components. Find a 95% confidence interval for p. ii. How many components must be sampled so that the 95% confidence interval will specify the proportion of defective components to within ±0.02? Source: Statistics for Engineers and Scientists, 3rd Edition, William, C. Navidi.
Which of these statements is true? Group of answer choices The p-value is determined by the test statistic and the critical value is determined by the significance level The p-value is determined by the significance level and the critical value is determined by the test statistic.
As a psychiatrist you developed a test to measure happiness. Test the claim that the mean measure of happiness for females is equal to the mean measure of happiness for males. Use a significance level of .10. The data is given below. (although you could label group 1 to be male or female and get the same answer at the end, the middle would vary a little. So to match with me call group 1 females) (3 decimals) females males 9.6 7.6 8.9 6.9 6.7 9.6 6.3 5.8 7.1 9.4 6.1 7.3 C: μ1=μ2 HA;μ1#μ2 Ho: [Select] [Select] 8.4 7.9 9.7 P=[Select] 8.8 [Select] 7.8 Pis [Select] The data [Select] Critical value/s is [Select] + =-1.849 + (although you are rounding to 3 decimals this one ends up with only 2) the claim. +
B-1 through c
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 = Chi Square test statistic = ______ Group of answer choices
A,b,c

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