A marketing manager for a popular supermarket chain is investigating how the positionof a new product within the store can help boost sales. Each of the 26 supermarket inthe study displays the product in one of 4 possible locations and records how many unitsof the new product they have sold. Sample statistics of the sales volume data within eachdisplay location are provided in the table below:Display LocationSize Mean VarianceA: Next to the till718689B: At the end of an aisle417170C: Near the shop entrance6.18086D: Amongst similar products9.18887Overall26Complete the following one-way ANOVA table using the provided summary statistics,show your workings. Provide a short concluding statement (at the 5% significance level)about the relationship between display location and sales volume for the new product.d.f.SSMSFBetweenError85

Here given that, sample size is n= 26 And total groups are k= 4 So d.f. between groups= k-1= 4-1= 3…

Answered: A marketing manager for a popular…

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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Grand Strand Family Medical Center treats minor medical emergencies for visitors to the Myrtle Beach area. There are two facilities, one in the Little River Area and the other in Murrells Inlet. The Quality Assurance Department wishes to compare the mean waiting time for patients at the two locations. Samples of the waiting times for each location, reported in minutes, follow: Location Waiting Time Little River 31.73 28.77 29.53 22.08 29.47 18.60 32.94 25.18 29.82 26.49 Murrells Inlet 22.93 23.92 26.92 27.20 26.44 25.62 30.61 29.44 23.09 23.10 26.69 22.31 Assume the population standard deviations are not the same. At the 0.05 significance level, is there a difference in the mean waiting time? Click here for the Excel Data File Find the degrees of freedom for unequal variance test. (Round down your answer to the nearest whole number.) State the decision rule for 0.05 significance level: H0: μLitttle River = μMurrells Inlet; H1: μLitttle River ≠…
Security scans are often completed on computers in a particular college to assess the security risk from viruses etc. A sample of 120 computers which are considered at risk for viruses and other security issues are checked with a particular security scanner on a Monday and then monitored over the following week. The number of computers which broke down over the following week were recorded. The results are as follows: Security Scan (% Risk) Breakdown No Breakdown Low Risk (0 - 10%) 3 61 Slight/Moderate Risk (10 – 30%) 13 28 High Risk (>30%) 12 3 (i) Based on the above sample work out the probability that a computer in the college will breakdown. Input your answer correct to 4 decimal places here: (ii) Based on the above sample work out the probability that a computer has a low risk level OR doesn't breakdown. Input your answer correct to 4 decimal places here: (iii) Based on the above sample work out the probability that a computer has a high risk AND has a breakdown. Input your answer…
A scientist wants to examine factors that may be related to cancer. The scientist believes that differences in age at death that will be found when determining what type of smoker a person was (pipe smoker, cigar smoker, cigarette smoker, or nonsmoker) but he also thinks it is important to consider the extent of smog in the person’s environment. For this new extended study, the people in the sample are divided up into those who lived in areas with heavy smog and those who lived in areas that were relatively free from smog. Smoking habit remains the other independent variable, and the dependent variable remains age at death. The new question of major interest to the scientist is whether the pattern of differences in age at death attributed to smoking habits would be influenced by whether people lived in smog-filled environments. What is the appropriate statistic? a. Dependent groups t-test b. Phi Coefficient c. Point Biserial r d. t-test for r > 0…
Which is the best method of collecting data between interviews and focus groups in a social research?
A professor wants to know which type of instructional mode students had more satisfaction. The professor randomly selected n = 5 students from each of the following types of classes: online only, hybrid, and face-to face only. Student were given a satisfaction survey. Are their differences in student satisfaction among the different instructional modes. The data are below: Online Hybrid Face-to-Face 3 3 4 3 3 1 3 1 3 2 2 2 2 1 3 Calculate Mean Square Within Group (MSWG)
The accompanying table gives amounts of arsenic in samples of brown rice from three different states. The amounts are in micrograms of arsenic and all samples have the same serving size. The data are from the Food and Drug Administration. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different states? Given that the amounts of arsenic in the samples from Texas have the highest mean, can we conclude that brown rice from Texas poses the greatest health problem? Click the icon to view the data. What are the hypotheses for this test? O A. Ho: At least one of the means is different from the others H₁ H₁ H₂ H3 OB. Ho: H₁ H₂=H3 H₁: At least one of the means is different from the others OC. Ho: H₁ H₂=H3 H₁: H₁ H₂ #H3 O D. Ho: M₁ #₂ #H3 H₁: H₁ H₂=H3 Determine the test statistic. The test statistic is (Round to two decimal places as needed.) Determine the P-value. The P-value…
2. Interpret this data.
Differentiate the three measures of central tendency: ungrouped data.
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Students at a major university in Southern California are complaining about a serious housing crunch. They are stating that many of the university's students have to commute too far to school because there is not enough housing near campus. The university officials' response is to perform a study. The study, reported in the school newspaper, contains the following histogram summarizing the commute distances for a sample of 100 students at the university. Relative frequency 0.3+ 0.2- 0.1+ 0.0 0 0.24 4 0.26 0.18 0.14 8 12 16 Commute distance (in miles) X 0.12 20 0.06 24 Based on the histogram, find the proportion of commute distances in the sample that are greater than or equal to 20 miles. Write your answer as a decimal, and do not round your answer.
The subject is Engineering Data Analysis

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