Direction: Prove that the conclusion is correct or not given the following scenario andanswer the following questions.A worker reports that 60% of the products made by a certain company isdefective. To prove this, a random sample of 189 out of 395 products were tested. Isthere a sufficient evidence to say that 60% of the products are defective at 0.05 level ofsignificance.CONCLUSION: There is a a sufficient evidence to say that 60% of the productsare defective at 0.05 level of significance.Answer the following:1. Is it good to believe in conclusions without proof?2. What are your realizations in proving the conclusion?GivenHypothesisLevel of significanceCritical ValueCompute for the test-statisticStatistical Decision:Including the sketch of thecurveConclusionZ=p-pp(1-P)V n

Given : Population proportion : p=0.6 Sample size : n=395 Number of success : x=189 Level of…

Answered: Dire on: Prove that the conclusion is…

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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A sample of 1100 computer chips revealed that 26% of the chips do not fail in the first 1000 hours of their use. The company's promotional literature states that 29% of the chips do not fail in the first 1000 hours of their use. The quality control manager wants to test the claim that the actual percentage that do not fail is different from the stated percentage. Is there enough evidence at the 0.05 level to support the manager's claim? is there sufficient evidence or is there not sufficient evidence
6. An experiment measured the level of CPK in the blood of ten runners and ten cyclists, both before and after exercise. Runners Cyclists Mean St. Dev. Mean St. Dev. Before exercise 255.63 115.58 173.8 90.69 After exercise 284.75 132.64 177.1 64.53 Difference 29.12 21.01 3.3 6.85 a) Test whether there is significant difference between the CPK values of runners and cyclists before exercise at the a = 0.05 level, assuming that the standard deviations are different for these populations. b) Find a 95% confidence interval for the difference of CPK values of runners and cyclists before exercise. c) Test at the a = 0.05 level whether there is a significant increase in the CPK levels of cyclists before and after exercise.
Three different checkpoints in a water distribution system are tested for bacterial contamination. Several randomly selected water samples from each location are used to produce bacterial contamination scores on a scale from 1 and 20. Is the level of contamination the same everywhere? Location 1 Location 2 Location 3 13 9 14 11 5 15 6 11 9 8 Sum 48 32 30 The null hypothesis is that the bacterial contamination is the same at all three locations. Your research hypothesis is that at least one location has a different mean contamination score. You calculate that Ex = 110 and Ex² = 1200. Perform the rest of the ANOVA calculations to determine the Within Groups Variation (SSWithin). 129 32 64 100 68
Q3. What is a research hypothesis and why is it important to carry-out research? Differentiate between Type I and Type II error and give an example for each.
#32). Please show work and answers, need to see how it’s done. Thank you!
4. Researchers believe that men are more physically aggressive than women. To test this, researchers ask 20 participants (10 male, 10 female) to rate how aggressive they are on a scale from 1 to 10. Their scores are listed below. Conduct all six steps of hypothesis testing (use p=.05). Be sure to label all six steps. Also, include a concluding statement (which should include the effect size). Males Females 9 1 8 3 9 5 7 2 8 4 6 3 5 2 9 5 7 4 8 3 M 7.6 3.2 s 1.35 1.32
Provide all necessary solutions to arrive at the needed answer for each problem. Do not forget to provide proper interpretations for resulting measures and/or tests conducted.
We are interested in comparing the proportions of men and women who say earning a large salary is very important to them. You surveyed 200 men and 200 women and recorded their answers to the question as “yes” (earning a large salary is very important) or “no” (earning a large salary is not very important). Yes No Total Men 150 50 200 Women 110 90 200 Total 260 140 400 Test the association between sex and the importance of earning a large salary using a z-test. Provide the null and alternative hypotheses, test statistic, p-value, and conclude test with 0.01 signifigance.
2. A study was conducted to examine the difference between the older and younger adult teachers on perceived life satisfaction. A pilot study was conducted to examine this hypothesis. Ten older adults (over the age of 50) and ten younger adults (between 20 and 40) were given a life satisfaction test (known to have high reliability and validity). Scores on the measure range from 0 to 60 with high scores indicative of high life satisfaction, low scores indicative of low life satisfaction. Result of the analysis is presented below. Older Adults Younger Adults Мean 44.5 28.1 Variance 75.38888889 72.98888889 Observations Hypothesized Mean Difference 10 10 df 18 x Stat P(X<=x) one-tail Critical one-tail P(X<=x) two-tail 4.257546666 0.000236832 1.734063607 0.000473663 x Critical two-tail 2.10092204 5. Is there a significant difference between the two groups? 6. Make a writeup of the result using APA format
A health insurance company wants to determine if more than 25% of US residents have been to a hospital emergency room within the past year. It was found that in a sample of 1000 people, 28% indicated that they had been to an emergency room within the past year. With a significance level of 0.01, is there evidence to suggest that the proportion of US residents that have been to the emergency room in the past year is actually higher than 25%?
Age discrimination: The following table presents the numbers of employees, by age group, who were promoted, or not promoted, in a sample drawn from a certain industry during the past year. Age Under 30 30 - 39 40 - 49 50 and Over Promoted 12 30 16 14 Not Promoted 46 38 39 40 Can you conclude that the people in some age groups are more likely to be promoted than those in other age groups? Use the =α0.05 level of significance and the P-value method with the TI-84 Plus calculator. find p value
5

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