Use a hypothesis test and ANOVA, stick to the usual methods and avoid utilizing the p-value technique.The figures below indicate the number of packets of five popular brands of cigarettes sold by asupermarket on nine randomly chosen days.ABDE38 3541212835321945313623353229452247 12 2748 60 | 40 | 53 | 423029 3625 29 31402531421425 2023253333254225Perform an Analysis of Variance at a 5% level of significance to evaluate whether or not the fivebrands sell the same number of cigarettes on average at this store.

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Answered: Use a hypothesis test and ANOVA, stick…

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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Claim: Most adults would erase all of their personal information online if they could. A software firm survey of 475 randomly selected adults showed that 57% of them would erase all of their personal information online if they could. Find the value of the test statistic.
Approximately 8% of males experience red-green color blindness. Suppose a random sample of 200 men is chosen.
A random sample of 10 compact cars, 10 mid-size cars, and 10 luxury cars were selected. The time (in seconds) each of the randomly selected cars required to accelerate from 0 to 60 mph was looked up on the Autos.com website. The results are presented below. Car Type Time (in seconds) Required to Accelerate from 0 to 60 mph Compact 9.3 8.1 10.2 8.8 9.0 9.3 7.7 9.2 9.4 8.6 Mid-Size 6.9 5.7 8.3 7.7 8.6 5.9 6.1 8.8 6.1 7.2 Luxury 5.7 6.3 5.4 4.7 6.2 7.0 5.9 5.3 6.3 5.0 Conduct a hypothesis test using ! = 0.05 to determine whether the mean time required to accelerate from 0 to 60 mph is the same for compact, mid-size, and luxury cars. (No accounting or excel, I need help solving it.)
A random sample of employees participating in a company fitness program were asked how many days they logged an exercise activity in the past month. Their responses are reported in the histogram below.Based on the histogram above, what is the class width? Clas width = ? Days What is the sample size? Sample size = ? employees
A plumber was interested in determining whether there is a significant difference in the price charged for plumbing tools by two hardware stores. The plumber selected five tools and recorded the price for each tool in each store. The following data was recorded: Store 1 2 Tool 2 R59.25 R22.50 R450 R44.25 R22.50 R36.75 R75 4 R480 R44.25 R60 Perform the appropriate test of hypothesis to determine whether there is a significant difference, on average, in the price of plumbing tools between the two stores, showing all 7 steps. Include both the rejection region and the p-value.
Here is a set of sample data 2 4 7 10 12 22 25 27 34 35 37 38 39 42 47 53 54 55 59 77 85 86 94 Identify the 5 number summary (min, Q1, median, Q3, max)
In Problems 9-12, conduct each test at the a= 0.05 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, (c) the critical value, and (d) the P-value. Assume that the samples were obtained independently using simple random sampling.
Please answer (e,f,g) only.Use Excel to calculate different statistical measures. You must include excel codes or steps of solving your assignment.
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I am having trouble with this one, please help. Thank you
K A poll was conducted to investigate opinions about global warming. The respondents who answered yes when asked if there is solid evidence that the earth is getting warmer were then asked to select a cause of global warming. The results are given in the accompanying data table. Use a 0.01 significance level to test the claim that the sex of the respondent is independent of the choice for the cause of global warming. Do men and women appear to agree, or is there a substantial difference? 75 01 51 16 84 31 37 90 80 Male Female Click here to view the chi-square distribution table. 00 47 Human activity Natural patterns Don't know 58 56 Ho: H₁: 321 298 Identify the null and alternative hypotheses. The sex of the respondent Compute the test statistic. 163 164 (Round to three decimal places as needed.). Find the critical value(s). Area to the Right of the critical value Chi-square distribution table 0.95 0.004 0.103 0.352 0.711 1.145 1.635 2.167 2.733 3.325 3.940 and and 0.90 0.016 0.211…
1. A furniture store reduces the prices of sofas in an autumn sale. The number of sofas sold during the 19 days of the sale were: 41, 44, 48, 55, 40, 44, 45, 42, 55, 55, 36, 36, 51, 47, 41, 38, 43, 48, 53 Work out the median and the lower and upper quartiles for the number of sofas sold in (3) the sale.

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