C. Test value D. Make a decision Weight Gain of Athletes A researcher wishes to see whether there is any difference in the weight gains of athletes following one of three special diets.Athletes are randomly assigned to three groups and placed on the diet for 6 weeks. The weight gains (in pounds) are shown here. At a=0.025, can theresearcher conclude that there is a difference in the diets?Diet A5673Send data to ExcelPart 1 of 5Part: 1/5Part 2 of 5Diet B91011State the hypotheses and identify the claim with the correct hypothesis.Ho H₁ H₂ H3 Not claimH₁: At least one mean is different from the others. Claim121314The critical value isFind the critical value. UseDiet C782.3The F Distribution Table to find the critical value. Round the answer to two decimal places.XS

Answered: Image /qna-images/answer/252a3d33-a7c6-4098-94dd-2d93b518f98f.jpg

Answered: Weight Gain of Athletes A researcher…

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 contingency table has COP CS Scanned with CamScanner نی Ows and 5 columns. H What is the value of degrees of freedom? A. 12 B. 15 C.9 D. 8 F 416
A marketing manager for a large cafeteria chain wished to investigate sales of coffee (i.e., sales is the variable she is trying to understand). Fourteen cafeterias that were similar in such respects as volume of business, type of clientele, and location were chosen for data collection. Data were collected on sales of coffee (in hundreds of gallons) and the number of coffee dispensers within the cafeteria. The results are shown below. Sales Number of Dispensers 631.9 1 628 1 692.5 2 688.4 2 747.4 3 773.3 3 791.4 4 803.4 4 838.7 5 879.6 5 881 6 841.1 6 860.6 7 883.8 7 Create a scatter plot and then fit a quadratic model to predict sales from the number of dispensers. If we define y to be sales (in hundreds of gallons) and x to be the number of dispensers, what is the correct quadratic model? Group of answer choices a. y=-6.397x2+92.85x+538.06 b. y=41.67x+614.829 c. y=0.022x-12.979 d. y=3.348x10-5x2-0.0292x+6.09 e. y=623.521x0.180
Choose the correct answer below. O A. The explanatory variable is the dependent variable. O B. The explanatory variable explains or predicts changes in the response variable. O C. The explanatory variable causes changes in the response variable. O D. All of the above.
a. Which measure of association would be most appropriate for these variables? b. What is the value of the measure of association? c. What is the strength of the association? d. Would be appropriate to interpret a direction for the association? If so, which direction is the association between the two variables?
State if these variables would be expected to have a positive, negative, or no association. A. Number of schools and population size. o Positive Negative No association B. Income and number of health conditions. Positive o Negative No association C. Time spent meditating and stress level. Positive o Negative No association D. Number of pets and amount of money spent on printer ink. Positive Negative o No association E. Life expectancy and death rate. Positive Negative o No association
Thomas makes five paper airplanes with different wing lengths. He drops them the same way from a height of two meters for five trials each. He records the amount of time it takes for each airplane to fall to the groupld. A. What is the independent variable? B. What is one control variable?
A consumer research company wants to estimate the average cost of an airline ticket for a round trip within the continental United States. A random sample of 50 airfares was gathered giving an average price of $438. Identify the variable. A. Random sample of 50 airfares C. Consumer research company B. Airline Fare D. Quantitative E. $38
Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below. Which statement below best describes the meaning of the second bin (or class)? A. There were 65 snacks that contained 2 milligrams of sugar. B. There were 2 snacks that contained between 65 and 70 milligrams of sugar. C. There were 2 snacks that contained 65 milligrams of sugar. D. There were between 65 and 70 snacks that contained 2 milligrams of sugar. E. There were 2 snacks that contained 70 milligrams of sugar. F. There were 70 snacks that contained 2 milligrams of sugar.
State H0 and what is H1 for all of them a, b and c a) The marketing researcher would like to find out whether consumers from different regions evaluate brand A differently when they see the brand name b) The marketing researcher would like to find out whether consumers from the south region and the north region evaluate brand B differently when they see the brand name c. The data file contains four taste evaluations. The taste evaluations were measured on a scale from 1 to 10 (with 10 the highest evaluation). Brand equity of one brand for one respondent is the difference of branded score and unbranded score of that brand evaluated by the respondent. The marketing researcher would like to find out whether brands A and B have brand equity, in other words, whether the evaluation of brand A (B) is different when consumers can see the brand name vs. when they cannot see the brand name.
lecture(12.9d): identify the following variables as categorical or numerical: (a) The age of children in months who have completed Peabody Vocabulary test. (b) The amount of time that children spent watching TV. (c) The type of program that children watch on TV.
Identify the explanatory variable and the response variable. A teacher wants to determine if the type of textbook used by her students can be used to predict the students' test scores. The explanatory variable is the The response variable is the teacher type of textbook students' test scores
a.Consider the two variables, High School GPA and Average Annual Earnings in Adulthood. Which isdependent?b. Describe the relationship between High School GPA and Average Annual Earnings in Adulthood. Is thecorrelation positive or negative? (Write at least two sentences.)c. Does a person’s High School GPA cause them to earn a certain salary in adulthood? Explain.

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