In order to determine if weather conditions play a significant role in how a disease effectswheat, fields of wheat are exposed to this disease over three consecutive summers, 2002-2004.The fields are later rated on a scale of 0.0 (resistant) to 10.0 (susceptible) based on how thedisease has infected the field. The results are shown below along with the ANOVA table. At the95% confidence level, compare the mean scores across the three years.20022003200477.354.7838523.33.376.34.77.373.7874.36.74.326.36.7ANOVASource of VariationdfMSTreatment20.973332 10.48667 4.127165Error76.2266730 2.540889Total97.232

Answered: In order to determine if weather…

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 sales analyst wants to determine whether there is a difference in the mean monthly sales of a company's four sales regions. Several salespersons from each region are randomly selected and they provide their sales amount (in thousands of dollars) for the previous month. Using a 5% significance, can we conclude at least one region is different on average? Region Sales North North North North East East East East East South South South South West West West West West 21 36 33 28 28 35 31 35 39 12 22 7 27 23 30 27 31 39 What is the factor variable? [Select an answer What is the response variable? [Select an answer Test Statistic: P-Value: Decision Rule: Select an answer Did Something Significant Happen? Select an answer There Select an answer to conclude Select an answer
A value such that at least 85% of the data are below and no more than 15% are above the value, is called Lower Quartile P15P15 Upper Quartile Median P85P85 None of the above.
A recent article published by the Wall Street Journal said the Cincinnati airport had the most expensive airfares among the largest airports in the US. While they had some statistics to support this statement, a statistician decided to investigate further. A sample of 46 flights originating in Cincinnati was selected, and the round-trip airfare for each flight was recorded. The sample data is summarized in the StatCrunch output below: With 98% confidence, we estimate the mean airfare for flights out of Cincinnati is between $ and $. (Round the limits of your interval to 4 decimal places.) The mean airfare nationwide was reported as $376 for a round-trip ticket. Does the interval found above support the claim that Cincinnati has airfares which are more expensive than other airports in the US? The interval does not support the claim because the entire interval is not above $376. We can't make this conclusion based on a confidence interval. The interval does not support this claim…
At the .05 significance level, does the data below show significant correlation? X y 5 22.1 6 20.35 7 17.2 8 16.85 9 8.2 10 17.45 17 11 Yes, significant correlation O No
Jump to level 1 An advertising firm is trying to determine if a lower proportion of interactions from online advertising result in sales compared to the proportion of interactions from television advertising. The firm examines a random sample of each type of interaction. The results of the data collected are shown below. What are the population parameters? Pick Online Successes Observations Proportion Confidence level z-score p-value Television 231 Successes 1000 Observations 0.231 Proportion 95% 2.926 0.00169 206 700 0.294 What is the level of significance? Ex: 0.12 The null hypothesis is Ho: Ponline Pick PTV The alternative hypothesis is Ha: Ponline Pick PTV Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick evidence exists to support the claim that the proportion of sales generated by online advertising is lower than the proportion generated by television advertising.
A group of marketing students conducted a survey to compare the weekly sales of the two vendors of beauty products in a market. The results of the survey were as follows: Vendor B Vendor A Php 345 Php 450 Php 450 Php 760 Php 750 Php 980 Php 800 Php 658 Php 675 Php 455 Php 1,250 Php 968 Php 350 Php 925 Is there is a significant difference between the mean sales of the two vendors? Test the claim at 0.01 level of significance.
A learn-to-type software program claims that it can improve your typing skills. To test the claim and possibly help yourself out, you and five of your friends decide to try the program and see what happens. Use the table below to construct a 99% confidence interval for the true mean change in the typing speeds for people who have completed the typing program. Let Population 1 be the typing speed before taking the program and Population 2 be the typing speed after taking the program. Round the endpoints of the interval to one decimal place, if necessary. Typing Speeds (in Words per Minute) Before, After 53 43 45 33 43 32 30 33 44 49 32 40 (See photo)
Researchers want to know if a tutoring program affects students’ ACT scores. They used a sample of twenty students and tested them before and after the tutoring program. Use Excel to perform a dependent sample t-test to determine whether the difference between the mean pretest score and the mean posttest score is significantly different. Assume unequal variance. Subject Pretest Posttest 1 21 25 2 30 33 3 25 26 4 28 31 5 31 34 6 16 16 7 19 21 8 21 24 9 26 27 10 34 34 11 22 23 12 18 24 13 14 17 14 19 23 15 24 25 16 33 30 17 25 27 18 26 26 19 22 24 20 19 18
Chi-sauare distribution table Question Viewer Degrees of Freedom 1 234569 7 8 10 0.995 0.010 0.072 0.207 0.412 0.676 0.989 1.344 1.735 2.156 0.99 0.020 0.115 0.297 0.554 0.872 1.239 1.646 2.088 2.558 Area to the Right of the critical value 0.975 0.001 0.051 0.216 0.484 0.831 1.237 1.690 2.180 2.700 3.247 0.95 0.004 0.103 0.352 0.711 1.145 1.635 2.167 2.733 3.325 3.940 I 0.90 0.016 0.211 0.584 1.064 1.610 2.204 2.833 3.490 4.168 4.865 0.10 2.706 4.605 6.251 7.779 9.236 10.645 12.017 13.362 14.684 15.987
Was the change in the College coefficient between 1992 and 1998 statistically significant at the 5% significance level? O A. Yes. O B. No.
Age discrimination: the following table presents the number of employees, by age group, who were promoted, or not promoted, in a sample drawn from a certain industry during the past year.
Think about doing an Independent-Measures ANOVA, Step 3. If the data are as follows, find the SS-between. GROUP 1 GROUP 2 GROUP 3 1 3 5 3 2 7 2 4 6 A) SS-between = 26.00 B) SS-between = 42.00 C) SS-between = 6.00 D) SS-between = 13.00

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