One important consideration in determining which location is best for anew retail business is the amount of traffic that passes the location eachbusiness day. Counters are placed at each of four locations on the fiveweekdays, and the number of cars passing each location is recorded inthe table below. At 0.05 level of significance, is there sufficient evidenceof a significant difference in the mean number of cars per day at the fourlocations?What is the critical region for the test? *LocationIIIIIV4548443950605049394038394445424042434443F> - 3.24F> 3.24F< - 3.24F< - 3.24 or F >3.24

From the given information we conduct A Anova .

Answered: Dne important consideration in…

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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The NIH wants to compare the mean weight loss for five different diets. They measure the weight loss (in pounds) of 5 women assigned to each of the diets for one month. The resulting data set is below. Pounds Diet 2.2 1 0.3 1 0.6 1 1.9 1 -1.2 1 0.1 2 -1.1 2 -1.2 2 1.1 2 2.7 2 1 3 -0.4 3 -0.2 3 0.1 3 -2 3 -2.8 4 -0.1 4 -1.1 4 -1.8 4 -2.9 4 -1.2 5 -1.2 5 -1.7 5 -0.9 5 -1.2 5 a) What is the F statistic for the ANOVA? b) Using a 0.01 level of significance, what is the critical point that one would compare to the F statistic in order to make a conclusion? c) What is the P-value from the ANOVA?
Here is a data set summarized as a stem-and-leaf plot: Stem Leaf 0014667799 001135566 667799 8 04667 026 What is the minimum value in the third class? What is the minimum value in the entire sample? > Next Question
4. In the ordered data: 20, a, 25, 30, 40, b, 49. If the first quartile=23.5 and IQR=19, then the values of a and b are: a=21.5, b=45.5 a=21, b=48 a=22, b=45 a=22.5 , b=45.5 5. Let X-Bin (12, 0.2), then * P (X 2 1) = O 1- 0.212 O 0.812 O1- 0.812 O 0.212
Meredith Grey has asked every surgeon at Grey-Sloan Memorial Hospital the following question: "How many surgeries have you scrubbed in on in the past 30 days?" The results are shown below. Number of surgeries 30 40 50 50 90 55 70 70 85 55 70 85 85 55 65 80 60 85 70 80 75 85 135 90 80 85 95 50 75 75 Find the following measures of center. Mean = Median = Mode =
For each of the following charts: stem-and-leaf diagram, box-and-whisker diagram,bar chart and histogram, indicate whether or not the chart would be suitable forpresenting the data displayed in Table 1 above. Give reason for your answer and calculate the mean employees’ morale , the median and the mode
(b) Suppose that the measurement 37 (the largest measurement in the data set) were replaced by 69. Which measures of central tendency would be affected by the change? Choose all that apply. Mean Median Mode O None of these measures
It costs more to produce defective items—since they must be scrapped or reworked—than it does to produce non-defective items. This simple fact suggests that manufacturers should ensure the quality of their products by perfecting their production processes instead of depending on inspection of finished products (Deming, 1986). In order to better understand a particular metal stamping process, a manufacturer wishes to estimate the mean length of items produced by the process during the past 24 hours. a. How many parts should be sampled in order to estimate the population mean to within .2 millimeter (mm) with 95% confidence? Previous studies of this machine have indicated that the standard deviation of lengths produced by the stamping operation is about 2 mm. b. Time permits the use of a sample size no larger than 225. If a 95% confidence interval for m is constructed with n = 225, will it be wider or narrower than would have been obtained using the sample size determined in part a?…
A boat capsized and sank in a lake. Based on an assumption of a mean weight of 142 lb, the boat was rated to carry 60 passengers (so the load limit was 8,520 lb). After the boat sank, the assumed mean weight for similar boats was changed from 142 lb to 171 lb. Complete parts a and b below. a. Assume that a similar boat is loaded with 60 passengers, and assume that the weights of people are normally distributed with a mean of 178.5 lb and a standard deviation of 36.9 lb. Find the probability that the boat is overloaded because the 60 passengers have a mean weight greater than 142 lb. The probability is 1.000. (Round to four decimal places as needed.) C.. b. The boat was later rated to carry only 13 passengers, and the load limit was changed to 2,223 lb. Find the probability that the boat is overloaded because the mean weight of the passengers is greater than 171 (so that their total weight is greater than the maximum capacity of 2,223 lb). The probability is. (Round to four decimal…
An industrial oil heater is tested by its ability to heat up a large room on a cold day and in particular, the rate at which it reaches a desired average temperature. The size of the room and the room temperature prior to switching on the heater were identified as two important factors of the rate at which the average room temperature increases. The experiment was replicated 3 times for each combination. The time (in minutes) till an average temperature increase of 10°C was measured is tabulated below: Factor B Large Classroom (200m2) Large Auditorium (400m2) (1) Treatment Combination (2) Factor A 7°C (1) 8,9,8 22,18,21 12°C (2) 9,10,12 19,29,25 Let factor A be the initial temperature and factor B be size of the room.
Example 19.13 A company used three different methods of advertising its product in three cities. It later found the increased sales (in thousand rupees) in identical retail outlets in the three cities as follows: City A: City B: City C: 70 58 60 45 55 62 89 72 65 57 48 55 75 68 45 52 63 53 59 71 70 63 60 58 75

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