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# BUS 308 NEW ACADEMIC COACH UOPHELP

<br><br>BUS 308 Week 1 DQ 1 Data Scales<br>BUS 308 Week 1 DQ 2 Probability<br>BUS 308 Week 1 Quiz<br>BUS 308 Week 1 Problem Set Week One<br>BUS 308 Week 2 Journal<br>BUS 308 Week 2 DQ 1 t-Tests<br>BUS 308 Week 2 DQ 2 ANOVA Testing<br>BUS 308 Week 2 Quiz<br>BUS 308 Week 2 Problem Set<br>BUS 308 Week 3 DQ 1 Interval Data<br>BUS 308 Week 3 DQ 2 Correlation<br>BUS 308 Week 3 Assignment Evaluation of Correlations<br>BUS 308 Week 4 DQ 1 Simple Regression Analysis<br>BUS 308 Week 4 DQ 2 Multiple Regressions Analysis<br>BUS 308 Week 4 Problem Set<br>BUS 308 Week 4 Quiz<br>BUS 308 Week 5 DQ 1 Confidence Intervals<br>BUS 308 Week 5 DQ 2 Correlation and Confidence Intervals<br>BUS 308 Week 5 Final Paper<br> <br>

## BUS 308 NEW ACADEMIC COACH UOPHELP

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1. BUS 308 NEW ACADEMIC COACH Tutorial For more course tutorials visit www.uophelp.com

2. BUS 308 NEW ACADEMIC COACH Tutorial BUS 308 Entire Course (New) BUS 308 Week 1 DQ 1 Data Scales Week 1 Data Scales. A marketing agency is interested in the buying habits of those who shop online versus those who shop in person. In your discussion post, address each of the following and explain your reasoning as to why you picked the specific scale: a. A database is created and shoppers are classified as online or in-person shoppers. Such classifications represent data of w • BUS 308 Week 1 DQ 1 Data ScalesBUS 308 Week 1 DQ 2 ProbabilityBUS 308 Week 1 QuizBUS 308 Week 1 Problem Set Week OneBUS 308 Week 2 JournalBUS 308 Week 2 DQ 1 t-Tests

3. BUS 308 NEW ACADEMIC COACH Tutorial BUS 308 Week 1 DQ 2 Probability BUS 308 Week 1 Problem Set Week One Problem Set Week One. Problem 1 The performances of a group of interns are evaluated by their supervisors at the end of their internships. Their scores are: 55, 47, 62, 27, 50, 49, 66, 53, 50, 44, 63, 59. • Probability. • The manager of a sandwich shop gathers data on what people spend on lunch on a particular day of the week. • The results are \$4.20, \$4.22, \$2.35, \$4.32, \$5.25, \$6.48, \$6.78, \$8.59, \$6.95, \$5.52, \$6.83, \$7.35, \$4.36, \$9.39, \$6.42. • To the degree that this represents the population of all those who eat l

4. BUS 308 NEW ACADEMIC COACH Tutorial BUS 308 Week 1 Quiz BUS 308 Week 2 DQ 1 t Imagine a shift manager at a manufacturing plant is gathering data on the number of units workers assemble during two different shifts over 10 different days. If the number of units assembled by each shift varies greatly from day to day, what impact will that have on the likelihood of a significant difference between the two shifts? Explain and support your response. • 1. Question : Data on the city from which members of a board of directors come represent interval data. • 2. Question : Inferential statistics infer the characteristics of samples.

5. BUS 308 NEW ACADEMIC COACH Tutorial BUS 308 Week 2 DQ 2 ANOVA Testing BUS 308 Week 2 Journal BUS 308 Week 2 Journal • ANOVA Testing. • The manager of an agency providing temporary employees to city offices is analyzing the number of days temporary hires typically work in various types of industries. • The data are as follows:

6. BUS 308 NEW ACADEMIC COACH Tutorial BUS 308 Week 2 Problem Set BUS 308 Week 2 Quiz 1. Question : How is the sum of squares unlike either the standard deviation or the variance? 2. Question : If sums of squares statistics are calculated for shoppers at three different retail outlets, what statistic will indicate the variability among those at each outlet • Problem Set Week Two. • Problem One • Suppose that an automotive parts and accessories chain is experimenting with a new sales promotion. Two similar stores are selected for the experiment. For Store 1, nothing changes. This store constitutes the control group. For Store 2, the treatment group, the promotion

7. BUS 308 NEW ACADEMIC COACH Tutorial BUS 308 Week 3 Assignment Evaluation of Correlations BUS 308 Week 3 DQ 1 Interval Data Interval Data. A courier service in a large city tracks the number of deliveries they are asked to make by 10 clients both before and after offering a progressive discount for repeat business. Their goal is to assess the effects of • Evaluation of Correlations. • Data are gathered regarding the length of tenure top executives have at a major corporation and whether those executives have been divorced. The Human Resources department is evaluating this data to drive decision-making in regard to their hiring process. The data for eight

8. BUS 308 NEW ACADEMIC COACH Tutorial BUS 308 Week 3 DQ 2 Correlation BUS 308 Week 4 DQ 1 Simple Regression Analysis Simple Regression Analysis. Use the data in the chart to answer the questions below. The data indicates the number of “sick days” appliance installers take during a three month period, and the number of complaints filed by customers during the same interval. Use the Analysis Toolpak in Excel to perform this simple regression and answer the questions. • Correlation. • An employment agency gathers the following data on its clients: • a) Age • b) Gender • c) Educational level (no high school, high school, associate’s, bachelor’s

9. BUS 308 NEW ACADEMIC COACH Tutorial BUS 308 Week 4 DQ 2 Multiple Regressions Analysis BUS 308 Week 4 Problem Set Problem Set Week Four. Problem One The manager of a catering company is using the number of people in the party to predict the cost of the drinks that are required for the event. The following are the data for 12 recently catered events: Complete the calculations • Multiple Regression Analysis. • Develop a multiple linear regression equation that describes the relationship between tenure and the other variables in the chart above. Use the Analysis Toolpak located in Excel to perform this multiple regression. • Do these two variables explain a reasonable amount of the variation i

10. BUS 308 NEW ACADEMIC COACH Tutorial BUS 308 Week 4 Quiz BUS 308 Week 5 DQ 1 Confidence Intervals Confidence Intervals. A hardware retailer has average sales of \$64,235 with a standard deviation of \$5,918 for a 12-month period. The mean monthly sales for all retailers in the chain are \$59,844. Is this hardware retailer’s sales significantly different from all retailers in the chain at ? Are they signi • Question : With reference to problem 1, what statistic determines the correlation of experience with productivity, controlling for age in experience? • 2. Question : In a problem where interest rates and growth of the economy are used to predict consumer spending, which of the following will increase prediction error? • 3. Question : With reference to problem 3, how is the regression con

11. BUS 308 NEW ACADEMIC COACH Tutorial BUS 308 Week 5 DQ 2 Correlation and Confidence Intervals BUS 308 Week 5 Final Paper Writing the Final Paper Assignment Instructions: A retail store has recently hired you as a consultant to advise on economic conditions. One important indicator that the retail store is concerned about is the unemployment • Correlation and Confidence Intervals. • A car dealer is using the number of years customers have owned their vehicles to predict how long it will be before they elect to replace them. The correlation between the two is (the longer they have owned their present vehicles, the more quickly they are expected to replace them). The other relevant data are as follows for 32 customers: • Based on the information above, answer the following questions: • a. How long is the time to expected replacement for a customer who has owned a vehicle 6.5 years? • b. Calculate .95 and .99 confidence intervals and explain your res

12. BUS 308 NEW ACADEMIC COACH Tutorial For more course tutorials visit www.uophelp.com

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