QMB-500 Week 3 Homework - Saved -O SearchawDesignLayoutReferencesMailingsReviewViewHelperi (Body)- 12 - A A Aa A E-EAaBbCcDd AaBbCcDd AABBCC AaBbCcC AaB AaBbCcD AaBbCcDd AaBboI U v ab x, x A e AvE- A - B -1 Normal1 No Spac. Heading 1 Heading 2TitleSubtitleSubtle Em.EmphFontParagraphStylesHow many different ways can a senior project manager and an associate project manager be selected for an analytics project if thereare eight data scientists available?4.58

Given, no.of data scientists =8

Answered: 4.58 How many different ways can a…

4.58 How many different ways can a senior project manager and an associate project manager be selected for an analytics project if there are eight data scientists available?

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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You will conduct a study of 100 people with cancer to better understand people's view the role of nutrition in their cancer diagnosis and treatment. This mixed methods study will include quantitative data collection from all 100 persons and qualitative data collection from about 20 persons. Your aims to to describe: o Describe sources of information about cancer-related nutrition (who did they learn cancer- related information from?) o Assess knowledge about cancer-related nutrition o Understand nutrition-related behaviors people changed due to their cancer diagnosis or treatment State which aims would best be measured with quantitative data and which aims would best be measured with qualitative data. Explain why you would use quantitative or qualitative data collection for each.
14. Identifying individuals with a high risk of Alzheimer's disease usually involves a long series of cognitive tests. However, researchers have developed a 7-Minute Screen, which is a quick and easy way to accomplish the same goal. The question is whether the 7-Minute Screen is as effective as the complete series of tests. To address this question, Ijuin et al. (2008) administered both tests to a group of patients and compared the results. The following data represent results similar to those obtained in the study. 18. 7-Minute Screen Cognitive Series Patient 3 11 8. 19 10 22 8. 20 4. 14 13 4 9. 20 14 25 a. Compute the Pearson correlation to measure the degree of relationship between the two test scores. b. Is the correlation statistically significant? Use a two-tailed test with a = .01. c. What percentage of variance for the cognitive scores is predicted from the 7-Minute Screen scores? (Compute the value of r.) 15. For a two-tailed test with a = .05, use Table R 6 to ABCD EFGH
A company organizes its sales into territories, each assigned to one sales representative. An analyst theorizes that the on-the-job experience level of the sales rep may be related to the amount of sales in each territory. The analyst decided to use the time the sales reps had been employed at the company to predict sales. After taking a random sample of sales territories, the analyst measured the last quarter's Sales in dollars and the Experience the sales rep had at the company in months. Here are the three tables from the regression results: Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Experience (months) 0.5966 0.3559 0.339 497.9058 40 df 1 38 39 Coefficients 6.6108 SS 5205388.04 5205388.04 9420585.51 Standard Error 4250.9742 180.2332 14625973.55 1.4427 How many territories are in the sample? 247910.15 t Stat MS 23.586 4.5822 P-value 2.71E-24 4.85E-05 F 20.9971 Lower 95% Upper 95% 3886.1113…
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A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
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