4. Suppose that we want to compare the cholestrol contents of four competing dietfoods on the basis of the following data (in milligrams per package) which wereobtained for three 6-ounce packages of each of the diet foods:Diet food A: 3.6 4.1 4.0 Diet food B: 3.1 3.2 3.9 Diet food C: 3.2 3.5 3.5 Dietfood D: 3.5 3.8 3.8a) Fill in the blanks below.b) Test at the 0.05 level of significance whether the differences among meansobtained for the four competing diet foods (Diet A, B, C, D) are significant?(Ftable=4.07)ONE-WAY ANOVA TABLESource ofDegrees ofFreedomSum ofMeanFVariationSquaresSquareTreatments?0.54??Error?Total?1.18

The main objective of an ANOVA (one-way) is to compare the means of more than two means to identify…

Answered: 4. Suppose that we want to compare the…

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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In terms of bivariate analysis, classify height and weight as either dependent or independent variables. Select one: a. Height: Dependent Weight: Independent b. Height: Independent Weight: Independent c. Height: Independent Weight: Dependent d. Height: Dependent Weight: Dependent
3. The volume of water served to each table at a restaurant measured in fluid ounces is which type of data? a. Discrete data b. Continuous data c. Qualitative (Categorical) data
A new procedure mixing Calcium hydroxide and Calcium silicate hydride nanotubes with concrete has been developed, and the strengths of various concrete specimens have been measured based on the relative proportion of calcium hydroxide and calcium silicate hydride tubes.3 treatments are shown in the table below, 100% calcium hydroxide, 50% Calcium Hydroxide and 50% Calcium silicate hydride, and 100% calcium silicate hydride, all added as ~ 1% of the mixture to the concrete . Eight samples of each were used to produce the means and variances. A) Run ANOVA on this data to see if there are any differences B) Why might classical ANOVA be inappropriate for this data set?
Engineers aim to analyze the impact of polypropylene fibers on the compressive strength of concrete. They create 15 concrete cubes and allocate them randomly across five levels of fiber content (0%, 0.25%, 0.50%, 0.75%, and 1%), then measure the concrete strength. The resulting data are as follows Fiber contents in % Obs 0 1 2 3 4 5 7.80 7.40 7.20 7.90 7.30 0.5 1 7.40 5.70 6.90 5.80 7.10 5.60 7.00 5.50 7.20 5.30 What is the ratio of MS trmt and MSE, that is, MS trmt/MSE? Options: 5.246 0.057 0.798 92.04
Roy ‘s Texaco wants to keep the price of its unleaded gasoline competitive with that of other stations in the area. Roy’s is currently charging $1.29 per gallon. To check that the average price for this gasoline for all stations within a 15 mile radius is higher than his price, Roy randomly samples the price of unleaded gasoline at ten stations located in this area. He obtains the following data for the price per gallon (in dollars): 1.7, 1.5, 2.6, 2.2, 2.4, 2.3, 2.6, 3.0, 1.4, 2.3 Set up the appropriate hypotheses and test them using a significance level of α= .05
Use the following table to answer the question & the sub part. 1a.What is the df for the t-test comparing total units earned in the row Students on Pell?i. df = 5854 + 1999 = 7853ii. df = 5854 + 1999 - 2 = 7851iii. df = 5854 - 1 = 5854iv. df = 1999 - 1 = 1998 1b. True or False? In the row First-generation College Students, students not employed on campus had the higher standard deviation for time to degree (years).
In a study of crop losses due to air pollution, plots of Blue Lake snap beans were grown in open-top field chambers, which were fumigated with various concentrations of sulfur dioxide. After a month of fumigation, the plants were harvested, and the total yield of bean pods were recorded for each chamber. Suppose X = sulfur dioxide concentration (ppm) and Y = yield (kg). Here is the information about the data. n = 17, xbar (sample mean of X) = 0.12, ybar (sample mean of Y) =1.117, sX = 0.11724, sY = 0.31175, r = -0.8506, SS(resid) = 0.2955 residual standard deviation (se) = 0.14 slope of the least-squares regression line: -2.26 Using the given information, what is the standard error of the slope (SEb1)? what’s the value of the test statistic (ts)?
Have you ever been frustrated because you could not get a container of some sort to release the last bit of its contents? An article reported on an investigation of this issue for various consumer products. Suppose five 6.0 oz tubes of toothpaste of a particular brand are randomly selected and squeezed until no more toothpaste will come out. Then each tube is cut open and the amount remaining is weighed, resulting in the following data: 0.52, 0.63, 0.43, 0.5, 0.35. Does it appear that the true average amount left is less than 10% of the advertised net contents? USE SALT (a) Check the validity of any assumptions necessary for testing the appropriate hypotheses. O The sample was selected to represent a range of results and the normal probability plot is not acceptably nonlinear. O The sample was selected to represent a range of results and the normal probability plot is not acceptably linear. The sample was randomly selected and the normal probability plot is acceptably linear. O The…
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Thomas wants to compare the mean concentration of carbon monoxide (CO) on residential versus commercial streets, since these differ in terms of car traffic. In each of three neighborhoods of Montréal (named A, B, and C below), he randomly chooses four locations for each type of street, for a total of 24 observations (2 street types x 3 neighborhoods x 4 locations). At each location, he measures CO concentration in the air over a period of 10 hours (8:00 AM-6:00 PM), and obtains the following data (in ppm/h). Question: Test whether or not the difference between residential and commercial streets in mean atmospheric CO concentration is the same among the three neighborhoods, and whether or not CO concentration in the air is the same, on average, for the two types of streets. Note that Neighborhood is considered a random block factor in the ANOVA. Use significant level= 0.05.
The cholesterol levels (in milligrams per deciliter) of 30 adults are listed below. Find the interquartile range for the cholesterol level of the 30 adults. 172 180 184 185 154 156 165 165 170 171 189 189 190 192 195 198 198 200 200 200 205 205 211 215 220 220 225 238 255 265 OA. 180 B. 30 O O O C. 31 O D. 211
Perform PCA or principle component analysis on the following data: х1 x2 x3 810.6 13.4 42.93 1775 24.2 32.319 430.4 5.7 60.434 459.8 9 21.398 802.4 13.9 55.778 279.6 20.4 53.236 288.4 4.6 63.208 152.7 7.3 59.727 253.4 9.9 48.037 358.6 13.5 48.288 72 12.8 36.507 205 5.9 37.195 253.6 15.8 36.964 416.5 12.3 42.83 1075.9 17.1 39.684 Answer the following questions based on the PCA: • How many principle components were created? • What percent of total variance is accounted for by the calculated principal components? (Round to 2 decimal places) • What are the weights for computing the first principle component scores? (Round to 4 decimal places) o x1: • x2: o x3:

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