Won't Try Don't Approve of Sushi Marriage Equality Generation Millennials Gen X Boomers Silent/Greatest Generation 42 38 49 55 63 63 74 65 CID correlation coeficient between the percentage of people who won't try sushi and the percentage who do not approve of mamt unti the final answer. Then round to two decimal places as needed) ations can you offer for the corelation coefficient in part (a)? Choose the comrect answer below

3 5 y = f(x) 1.732 2.236 2.645 3.316 Use inverse interpolation to find the value of x for y=3 constructing divided differences table for the data given above.

With what type of data (scale of measurement) might you apply Chi Square? Describe Chi Square and give an example of when you might use the Chi Square test.

MSC 600 Quantitative Methods 7. Part of an ANOVA table is shown below. Source of Variation Between Treatments Within Treatments (Error) TOTAL 480 18 The mean square due to treatments (MSTR) is a. 20. b. 60. c. 18. d. 15. ANSWER: b 1105 words 8. Part of an ANOVA table is shown below. Source of +Sum of Variation "Squares Between Treatments 180 Within Treatments (Error) TOTAL Sum of Degrees of SquaresFreedom 3 480 c. 18. d. 20. ANSWER: d 180 The mean square due to error (MSE) is a. 60. b. 15. N Text Predictions: On Degrees of Freedom 3 18 Mean Square Mean Square Focus F 80 F um O Search COLLEGE OF BUSINESS

Data of variable-A is collected as shown to the right. Is the mean of Variable-A less than 80? State null hypothesis and choose level of significance, a = 0.05. (Use Excel ttest function, provide clear logic and reasoning.) Variable-A Variable-B 78.8 81.9 76.9 78.0 67.8 69.7 68.9 74.7 70.5 70.0 80.0 68.2 63.0 88.7 78.7 86.7 85.4 69.5 87.0 75.1 82.4 71.8 78.2 58.1 76.9 74.8 60.2 93.2 82.6 84.6 67.2 66.5 71.7 77.2 68.9 74.0 69.3 77.7 89.1 78.6 76.3 68.3 74.0 89.0 69.4 82.1 76.3 78.0 66.2 80.3 73.9 82.4 79.1 83.1 80.4 66.4 66.2 67.6 80.9 75.3

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are you able to help me produce a graph which includes all of this  Use the data generated in the laboratory to prepare a table and graph of the results, with a written summary. To include: Table of summary results that is mean and SD (standard deviation) only (not individual numbers for each tube) Graph of change in whatever parameter (plot the mean and error bar using the standard deviation) is used to determine the effect on the vegetable on the y-axis against sugar/NaCl concentration on x-axis, put both parameters on one graph. Do a correlation graph so add a correlation, R2 number, find this in Excel – add trendline and under trendline look for more options and at bottom at R2 to graph. Then in discussion use this value to comment on whether or not a correlation between the changes and the findings. Text: short summary of the key findings - NOT what happens for each tube but the general trend of the results and the correlation coefficient. with these set of results Solution…

PLEASE ANSWER ALL THE PARTS OF THE QUESTION (THIS IS NOT A HRADED ASSIGNMENT)