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BUS 308 Instant Education/uophelp

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BUS 308 Instant Education/uophelp

• BUS 308 Entire Course (New)

• BUS 308 Week 1 DQ 1 Data Scales

• 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-TestsBUS 308 Week 2 DQ 2 ANOVA
  TestingBUS 308 Week 2 QuizBUS 308 Week 2
  Problem Set

• 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

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BUS 308 Instant Education/uophelp

• BUS 308 Week 1 DQ 2 Probability

• BUS 308 Week 1 Problem Set Week One

• 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 lunch at sandwich shops,
  what percentage of customers spend

• 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.
• Complete the calculations below using this
  data. Show all of your work and clearly label
  each of your calculations.

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BUS 308 Instant Education/uophelp

• BUS 308 Week 1 Quiz

• BUS 308 Week 2 DQ 1 t

• 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.
• 3. Question The mode is which of the
  following?
• 4. Question The standard error of the mean can
  be calculated by dividing µ by the square root of
  the number of values in the distribution.

• Tests.
• 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.

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BUS 308 Instant Education/uophelp

• BUS 308 Week 2 DQ 2 ANOVA Testing

• 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
• Legal clerical 2, 1, 4, 4, 2, 5, 6
• Accounting firms 3, 6, 4, 5, 5, 7, 8
• Insurance 5, 4, 7, 9, 9, 8, 11

• BUS 308 Week 2 Journal

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BUS 308 Instant Education/uophelp

• BUS 308 Week 2 Problem Set

• BUS 308 Week 2 Quiz

• 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 is
  implemented.

• 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?
• 3. Question Which is the symbol used for the
  test statistic in ANOVA?

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BUS 308 Instant Education/uophelp

• BUS 308 Week 3 Assignment Evaluation of
  Correlations

• BUS 308 Week 3 DQ 1 Interval Data

• 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 executives is
  as follows

• 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 the discount.
• a. What is the most appropriate statistical test
  in this situation? Why?
• b. Are there significant differences in the
  number of deliveries?

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BUS 308 Instant Education/uophelp

• BUS 308 Week 3 DQ 2 Correlation

• BUS 308 Week 4 DQ 1 Simple Regression Analysis

• Correlation.
• An employment agency gathers the following data
  on its clients
• a) Age
• b) Gender
• c) Educational level (no high school, high
  school, associates, bachelors, masters)
• d) Years of past experience

• 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.

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BUS 308 Instant Education/uophelp

• BUS 308 Week 4 DQ 2 Multiple Regressions Analysis

• BUS 308 Week 4 Problem Set

• 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.

• 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

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BUS 308 Instant Education/uophelp

• BUS 308 Week 4 Quiz

• BUS 308 Week 5 DQ 1 Confidence Intervals

• 1. 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 constant or the a value
  interpreted?

• 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 retailers sales significantly different
  from all retailers in the chain at ? Are they
  significantly different at ? Calculate a .95
  confidence interval for the data in problem.

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BUS 308 Instant Education/uophelp

• BUS 308 Week 5 DQ 2 Correlation and Confidence
  Intervals

• BUS 308 Week 5 Final Paper

• 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

• 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 rate. The
  retail store has found that an increase in the
  unemployment rate will cause a lack of consumer
  spending in their stores.

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BUS 308 Instant Education/uophelp
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