3. According to an NDP Group report, the mean number of meals prepared andeaten at home is 700 per year. Suppose that a random sample of 36 householdsshowed a sample mean number of meals prepared and eaten at home was 690.Assume o = 40. Test whether the population mean number of such meals is lessthan 700 using a significance level of 0.01. d.of p and a.e.Explain your conclusion to reject or fail to reject the null hypothesis in termsInterpret your conclusion in the context of this problem.

Given data: Significance level= 0.01

Answered: 3. According to an NDP Group report,…

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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11. In 2005, Health Canada claimed that 16.8% of Canadian adults are obese. A researcher wanted to check whether this percentage has decreased in 2009. He randomly selected 50 Canadian adults and found 6 of them are obese. Use 12% significance level. Write down the value of the test statistic (give your answer to 3 decimal places)
Use a significance level of 0.05 where not specified. 1. Three paints were tested for drying time. Paint times are tabulated below. Paint1 Paint 2 Paint 3 128 144 137 133 135 124 141 142 146 130 Do the paints have the same mean drying time? 133 143 137 136 131 0
2. A claim is made that the proportion of adults who text is less than 0.4. Find the test statistic if the the sample size is n= 987 with 398 adults saying that they text. Show work.
1. If X - N(200,2²), find а) Р(X < 197) b) Р(X < 200.5) 2. Let x be a continuous random variable that is normally distributed with a mean of 80 and a standard deviation of 12. Find the probability that x assumes a value a. greater than 69 c. greater than 101 b. less than 73 d. less than 87 3. Let x be a continuous random variable that is normally distributed with a mean of 25 and a standard deviation of 6. Find the probability that x assumes a value a. between 29 and 36 b. between 22 and 35 4. Let X denote the time taken to run a road race. X is normally distributed with a mean of 190 minutes and a standard deviation of 21 minutes. If one runner is selected at random, what is the probability that this runner will complete this road race a. in less than 160 minutes? b. in 215 to 245 minutes?
1
65. A grassroots group opposed to a proposed increase in the gas tax claimed that the increase would hurt working-class people the most, since they commute the farthest to work. Suppose that the group randomly surveyed 24 individuals and asked them their dally one-way commuting mileage. The results are in Table 13.22. Using a 5% significance level, test the hypothesis that the three mean commuting mileages are the same. working-class professional (middle incomes) professional (wealthy) 17.8 16.5 8.5 26.7 17.4 6.3 49.4 22.0 4.6 9.4 7.4 12.6 65.4 9.4 11.0 47.1 2.1 28.6 19.5 6.4 15.4 51.2 13.9 9.3 Table 13.22 a. State the hypothesis b. Find test statistics c. Find p value с. d. Decision on null hypothesis e. Conclusion е.
1. in one-way ANOVA, identify the statistic used as a measure of variation among the sample means. as a measure of variation within the samples. to compare the variation among the sample means to the variation within the samples. 2. What is a two-way ANOVA?
5. A credit score is used by credit agencies (such as mortgage companies and banks) to assess the creditworthiness of individuals. Values range from 300 to 850, with a credit score over 700 considered to be a quality credit risk. According to a survey, the mean credit score is 702.9. A credit analyst wondered whether high-income individuals (incomes in excess of $100,000 per year) had higher credit scores. He obtained a random sample of 32 high-income individuals and found the sample mean credit score to be 719.1 with a standard deviation of 80.6. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the a = 0.05 level of significance. State the null and alternative hypotheses. Ho: H (1) H: μ (2) (Type integers or decimals. Do not round.) Identify the t-statistic. to = (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) Make a conclusion regarding the hypothesis. (3) the null…
10) please solve all parts of the question correctly.
Also need to find the standardized test statistic, decide whether to reject or fail to reject, and interpret the decision in the context of the claim.
Can I get a step-by-step? A bank has a policy that the proportion of loans made to people with more than $50,000 in debt should not be more than 0.15. The bank checks a randomly chosen sample of 75 customer's debt amounts to determine if the proportion is more than 0.15 at a significance level of 0.05. Use Sheet 2 of the Excel file, which gives the customer's debt amounts for the 75 people in the sample, to calculate p^, the z-score, and the p-value. p^= z= p= Since the p-value is (less or greater?) than the significance level 0.05, the null hypothesis (is rejected or fails to be rejected?). (Sufficient or insufficient?) evidence exists that the proportion of loans to people with more than $50,000 in debt is more than 0.15. Chart: 51539.29919 8052.016591 35716.31651 37010.68615 31172.5786 31088.99026 20288.64299 52734.51646 -5422.706014 128.8534293 48485.9593 30025.21757 19891.47232 26803.72091 51758.66724 88069.44647 51200.96717…
A professional marketing survey involves product recognition in New York and California. Of 558 New York residents surveyed, 193 knew the product while 179 out of 614 Californians knew the product. 1. Test the claim that the recognition rates are greater in New York. 2. In which state does the product need the most help with name recognition? Use the given data to compare mean age of residents in Seaside and Marina. Sample Data * = 43.2 yr s = 4.7 yr n = 97 Seaside Before After 1. Test the claim that the mean age of seaside residents is equal to the mean age of Marina residents. 2. How would the result change if we use a = 0.01? Matched Pairs: Write the alternative hypothesis H₁, for each claim: 1. New engine management software will increase the gas mileage in your car. 2. My coaching will reduce your golf score. Difference An instructor gives a test before and after a lesson with these results from randomly selected students Before and After Data 54 70 = 61 Marina 56 s = 6.7 year…

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