BUS 308 OUTLET Experience Tradition Expect Success/bus308outletdotcom

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BUS 308 OUTLET Experience Tradition Expect
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BUS 308 Entire Course (Ash Course)

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•   
• BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3
  3.22
• BUS 308 Week 1 DQ 1 Performance Report
• BUS 308 Week 1 DQ 2 The Empirical Rule vs.
  Chebyshev Theorem
• BUS 308 Week 1 Quiz (10 MCQ)
• BUS 308 Week 2 Assignments Problems 4.4, 4.20,
  5.12, 6.22(a)
• BUS 308 Week 2 DQ 1 Relative Frequency
• BUS 308 Week 2 DQ 2 Applications for Probability
• BUS 308 Week 2 Quiz (10 MCQ)
• BUS 308 Week 3 Assignments Problems 7.11, 7.30,
  8.8, 8.38
• BUS 308 Week 3 DQ 1 Unscientific Sampling
• BUS 308 Week 3 DQ 2 Article Review
• BUS 308 Week 3 Quiz (10 MCQ)

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BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3
and 3.22 (Ash Course)

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• BUS 308 Week 1 Problems 1.2, 1.17, 3.3 and 3.22

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BUS 308 Week 1 DQ 1 Performance Report (Ash
Course)

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•  
•  
• You are the manager at a company and are asked to
  present a report on the year-to-date performance
  of your division. What type of statistical
  information would you include in your report? In
  particular, which descriptive statistics (mean,
  median, standard deviation, etc.) do you think
  would best represent the main aspects of the
  performance of your division? What types of
  graphical presentation (histogram, dot plot,
  stem-and-leaf, bar chart, etc.) would you
  include? Explain your reasoning

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BUS 308 Week 1 DQ 2 The Empirical Rule vs.
Chebyshev Theorem (Ash Course)

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• The Empirical Rule vs. Chebyshevs Theorem
• Discuss how the Empirical Rule works and how it
  relates to the bell curve as illustrated in
  Figure 3.14 (a). Then, explain Chebyshevs
  Theorem and how it is different from the
  Empirical Rule. Give a specific example of a
  population with which the Empirical Rule might be
  most effective and one with which Chebyshevs
  Theorem might be most effective. Respond to at
  least two of your classmates postings.

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BUS 308 Week 1 Quiz (10 MCQ) (Ash Course)

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• 1. Question The two types of quantitative
  variables are
• 2. Question As a general rule, when creating a
  stem-and-leaf display, there should be between
  ______ stem values.
• 3. Question The median is the value below
  which and above which approximately 50 percent of
  the measurements lie.

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BUS 308 Week 2 Assignments Problems 4.4, 4.20,
5.12, 6.22(a) (Ash Course)

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• BUS 308 Week 2 Assignments Problems 4.4, 4.20,
  5.12, 6.22(a)

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BUS 308 Week 2 DQ 1 Relative Frequency (Ash
Course)

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• Relative Frequency. Conceptually we would expect
  the probability of newborn males and females to
  be the same. However, census reports indicate
  that the ratios of males and females in various
  countries do not conform to the theoretical
  prediction. What do you think accounts for this
  variation? Can you think of other cases where the
  expected probabilities do not quite agree with
  the empirical values?

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BUS 308 Week 2 DQ 2 Applications for Probability
(Ash Course)

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• Applications for Probability. In what situations
  might you use probability as a manager to
  approach business-related problems? What are the
  advantages to using probability concepts in
  business decisions? Are there any disadvantages
  or possible pitfalls to avoid in using
  probability in business?

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BUS 308 Week 2 Quiz (10 MCQ) (Ash Course)

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• 1. Question In a statistical study, the random
  variable X 1, if the house is colonial, and X
  0 if the house is not colonial, then it can be
  stated that the random variable is continuous.
• 2. Question The set of all possible
  experimental outcomes is called a(n)
• 3. Question If two events are independent,
  then the probability of their intersection is
  represented by
• 4. Question A(n) __________ is a measure of
  the chance that an uncertain event will occur.

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BUS 308 Week 3 Assignments Problems 7.11, 7.30,
8.8, 8.38 (Ash Course)

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• BUS 308 Week 3 Assignments Problems 7.11, 7.30,
  8.8, 8.38

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BUS 308 Week 3 DQ 1 Unscientific Sampling (Ash
Course)

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• Unscientific Sampling. Consider question 7.45
  from the text A Milwaukee television station,
  WITI-TV, conducted a telephone call-in survey
  asking whether viewers liked the new newspaper,
  the Journal Sentinel. On April 26, 1995, Tim
  Cuprisin, a columnist for the Journal Sentinel,
  wrote the following comment WITI-TV (Channel 6)
  did one of those pollswhich they admit are
  unscientificlast week and found that 388 viewers
  like the new Journal Sentinel and 2,629 didnt
  like it. We did our own unscientific poll on
  whether those Channel 6 surveys accurately
  reflect public opinion. The results a full 100
  percent of the respondents say absolutely,
  positively not.
• Is Cuprisins comment justified?

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BUS 308 Week 3 DQ 2 Article Review (Ash Course)

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• Article Review. Many articles present statistical
  data and list margins of error (for example,
  reports on political opinion polls, growth or
  decline of the housing markets, manufacturing
  sectors, etc.). Find one such article from a
  reliable source (such as EBSCO or Proquest) in
  the online library that includes a construction
  of confidence intervals for the data studied, and
  give a summary of the topic and the statistical
  results presented. In particular, discuss whether
  there is enough information presented in the
  article to arrive at the same conclusion as
  reported

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BUS 308 Week 3 Quiz (10 MCQ) (Ash Course)

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• 1. Question There is little difference between
  the values of ta/2 and Za/2 when the sample
• 2. Question If the population proportion is .4
  with a sample size of 20, then is this sample
  large enough so that the sampling distribution of
  is a normal distribution.
• 3. Question For non-normal populations, as the
  sample size (n) _________, the distribution of
  sample means approaches a/an __________
  distribution.
• 4. Question As the sample size ________the
  variation of the sampling distribution of
  ___________.

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BUS 308 Week 4 Assignments Problems 9.13, 9.22,
12.10, 12.18(a) (Ash Course)

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• BUS 308 Week 4 Assignments Problems 9.13, 9.22,
  12.10, 12.18(a)

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BUS 308 Week 4 DQ 1 Hypothesis Test (Ash Course)

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• Give an example of a hypothesis test you could
  perform at work or at home. State what the Null
  and the Alternative hypotheses would be in your
  test. Explain how you would settle on a
  reasonable level of significance for your
  scenario. Also explain what the type I and II
  errors would be if you reached the incorrect
  conclusion in your test.

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BUS 308 Week 4 DQ 2 Creating Hypotheses (Ash
Course)

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• Creating Hypotheses. Assume you are the manager
  of a paint manufacturing factory. Your company
  has received complaints from customers that the
  containers hold less than the amount printed on
  them. On the other hand, corporate management is
  concerned that the containers hold more than the
  standard amount. You assign a statistician to
  verify these claims. A sample of containers was
  selected and the volume of paint in each
  container was measured. Assuming that the volume
  printed on each container is 1 gallon, how would
  you formulate the null and alternative hypotheses
  to test the customers claim? As a manager, what
  reasonable criteria will you use to set a value
  for the level of significance to be used in the
  test? After answering this question, what type of
  error would you suppose may result in that case?

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BUS 308 Week 4 Quiz (10 MCQ) (Ash Course)

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• 1. Question Consider using p-value to test H0
  versus Ha by setting a equal to .10. We reject H0
  at level a of significance if and only if the
  p-value is
• 2. Question When carrying out a sample test
  (with ó known) of H0 µ 10 vs. Ha µ gt 10 by
  using a rejection point, we reject Ho at level of
  significance a if and only if the calculated test
  statistic is
• 3. Question When using the chi-square goodness
  of fit test, if the value of the chi-square
  statistic is large enough, we reject the null
  hypothesis.

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BUS 308 Week 5 DQ 1 Linear Correlation (Ash
Course)

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• Linear Correlation. Do you think there is a
  correlation between CEO salaries and the degree
  of success of a company? If you were to take a
  sample of companies with comparable size, market
  capitalization, and product category, and plot
  CEO salaries against the net profit of their
  respective companies, do you expect to find a
  linear correlation between the two? Explain

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BUS 308 Week 5 DQ 2 Quality Control (Ash Course)

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• Quality Control. Visit the websites on Quality
  Control (QC) listed in the Required Websites for
  this week. In addition, locate an article on the
  Internet or in the Library databases that
  describes an example of the use of statistics in
  Quality Control. In your post, briefly define
  Quality Control and explain its importance. Also,
  describe some of the most widely used tools in
  the industry for measuring and controlling
  quality, emphasizing their relationship to what
  you have encountered in this class. Finally,
  explain the example from your article of
  statistics as applied in a Quality Control
  context.

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BUS 308 Week 5 Final Part I - Excel (Ash Course)

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• Calculate the mean yearly value using the average
  gas prices by month found in the"Final Project
  Data Set".
• 2.Using the years as your x-axis and the annual
  mean as your y-axis, create a scatterplotand a
  linear regression line.
• 3.Answer the following questions using your
  scatterplot and linear regression line What is
  the slope of the linear regression line? What is
  the Y-intercept of the linear regression line?
• What is the equation of the linear regression
  line, in slope-intercept form? Based on the
  linear regression line,
• what would be an estimated cost of gas in the
  year2020? What are the residuals of each year?
• Select a current price that you have seen or
  paid recently for gas. Is that price within
  therange of the linear regression line or is it
  an outlier?

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BUS 308 Week 5 Final Part II Analysis Paper on
gas prices

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• Imagine that you are a manager at a delivery
  service and you are creating a report toproject
  the effects on your company of rising gas prices
  in the next ten years.
• Using thepreceding statistical analysis as your
  basis and outside scholarly resources to support
  yourclaims,
• write a 3 to 5 page paper interpreting the
  results from this perspective. Include
  thefollowing considerations
• 1. Introduce the project and its significance to
  the company.
• 2. Explain the statistical analysis that you
  completed in Part I. Be sure to explain wherethe
  data came from, what analysis was done, and what
  the results were.
• 3. Give conclusions that you have drawn from the
  data. Consider the effects
• of your gasprice predictions on the delivery
  business. Also consider whether or not you
  believe yourpredicted gas prices are accurate.
• What could occur in the future that would change
  yourlinear regression line and therefore your
  prediction?

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BUS 308 OUTLET Experience Tradition Expect
Success/bus308outletdotcom

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