BUS 308 HELPS Learn by Doing/bus308helps.com

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BUS 308 HELPS Learn by Doing/bus308helps.com
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BUS 308 HELPS Learn by Doing

• 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

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• BUS 308 Week 1 DQ 1 Language
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• Discussion 1-1/Language Numbers and measurements
  are the language of business. Organizations look
  at results in many ways expenses, quality
  levels, efficiencies, time, costs, etc. What
  measures does your department keep track of? Are
  they descriptive or inferential data, and what is
  the difference between these? (Note If you do
  not have a job where measures are available to
  you, ask someone you know for some examples, or
  conduct outside research on an interest of yours,
  or use personal measures.)

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• BUS 308 Week 1 DQ 2 Probability
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• Things vary in life virtually nothing (except
  physical standards such as the speed of light) we
  interact with is constant over time. Much of this
  variation follows somewhat predictable patterns
  that can be examined using probability. An
  example of a subjective probability is Cops
  usually do not patrol this road, so I can get
  away with speeding. An empirical probability
  example is Each production run has a 5 reject
  rate. A classical (or theoretical) probability
  example is This die has six sides, so I should
  see the number 2 come up 1/6th of the time. What
  are some examples of probability outcomes in your
  work or life? How would looking at them in terms
  of probabilities help us understand what is going
  on? How does the normal curve relate to
  activities/things you are associated with?

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• BUS 308 Week 1 Problem Set
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• 1. For assistance with these calculations, see
  the Recommended Resources for Week One.
  Measurement issues. Data, even numerically code
  variables, can be one of 4 levels nominal,
  ordinal, interval, or ratio. It is important to
  identify which level a variable is, as this
  impacts the kind of analysis we can do with the
  data. For example, descriptive statistics such as
  means can only be done on interval or ratio level
  data. Please list, under each label, the
  variables in our data set that belong in each
  group..

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• BUS 308 Week 1 Quiz (New)
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• 1. Question In statistical notation, M is to µ
  as s is to s. Question 2. Question A parameter
  refers to a sample characteristic. Question 3.
  Question Data on the city from which members of
  a board of directors come represent interval
  data. Question 4. Question In a frequency
• distribution such as a bell-shaped curve, what
  does the vertical height of the curve indicate?

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• BUS 308 Week 1 Quiz
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• 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.

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• BUS 308 Week 2 DQ 1 Hypotheses
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• Discussion 2-1/Hypotheses What is a hypothesis
  test? Why do we need to use them to make
  decisions about relating sample results to the
  population why cant we just make our decisions
  by the sample value?

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• BUS 308 Week 2 DQ 2 Variation
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• Variation exists in virtually all parts of our
  lives. We often see variation in results in what
  we spend (utility costs each month, food costs,
  business supplies, etc.). Consider the measures
  and data you use (in either your personal or job
  activities). When are differences (between one
  time period and another, between different
  production lines, etc.) between average or actual
  results important? How can you or your department
  decide whether or not the observed differences
  over time are important? How could using a mean
  difference test help?

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• BUS 308 Week 2 Problem Set
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• Problem Set Week Two Complete the problems below
  and submit your work in an Excel document. Be
  sure to show all of your work and clearly label
  all calculations. All statistical calculations
  will use the Included in the Week Two tab of
  theEmployee Salary Data Set are 2 one-sample
  t-tests comparing male and female average
  salaries to the overall sample mean. 1. Below are
  2 one-sample t-test comparing male and female
  average salaries to the overall sample mean.
  Based on our sample, how do you interpret the
  results and what do these results suggest about
  the population means for male and female salaries?

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• BUS 308 Week 2 Quiz (New)
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• Question What is the relationship between the
  power of a statistical test and decision errors?
  Question 2. Question The desired sample depends
  on all of these factors except? Question 3.
  Question What question does the z test answer?
  Question 4. Question The desired sample size
  depends only the size of the population to be
  tested. Question 5. Question Each different
  t-distribution is defined by which of the
  following? Question 6. Question What is the
  alternate hypothesis in a problem where sales
  group two is predicted to be . . . significantly
  less productive than sales group one?

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• BUS 308 Week 2 Quiz
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• 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?
• 4. Question If ANOVA reveals that
  four different departments have significantly
  different levels of productivity, what will a
  post-hoc test indicate?
• 5. Question The independent
  t-test is based on which distribution?

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• BUS 308 Week 3 DQ 1 ANOVA
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• In many ways, comparing multiple sample means is
  simply an extension of what we covered last week.
  Just as we had 3 versions of the t-test (1
  sample, 2 sample (with and without equal
  variance), and paired we have several versions
  of ANOVA single factor, factorial (called
  2-factor with replication in Excel), and within-
  subjects (2-factor without replication in Excel).
  What examples (professional, personal, social)
  can you provide on when we might use each type?
  What would be the appropriate hypotheses
  statements for each example?

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• BUS 308 Week 3 DQ 2 Effect Size
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• Several statistical tests have a way to measure
  effect size. What is this, and when might you
  want to use it in looking at results from these
  tests on job related data?

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• BUS 308 Week 3 Problem Set
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• ASSIGNMENT WEEK 3 Complete the problems below and
  submit your work in an Excel document. Be sure to
  show all of your work and clearly label all
  calculations. All statistical calculations will
  use the (Note Questions 1- 4 have additional
  elements to respond to below the analysis
  results.) 1. Last week, we found that the average
  performance ratings do not differ between males
  and females in the population. Now we need to see
  if they differ among the grades. Is the average
  performance rating the same for all grades?
  (Assume variances are equal across the grades for
  this ANOVA.)

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• BUS 308 Week 4 DQ 1 Confidence Intervals
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• Discussion 4-1/Confidence Intervals Many people
  do not like or trust single point estimates
  for things they need measured. Looking back at
  the data examples you have provided in the
  previous discussion questions on this issue, how
  might adding confidence intervals help managers
  accept the results better? Why? Ask a manger in
  your organization if they would prefer a single
  point estimate or a range for important measures,
  and why? Please share what they say.

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• BUS 308 Week 4 DQ 2 Chi-Square Tests
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• Discussion 4-2/Chi-Square Tests Chi-square tests
  are great to show if distributions differ or if
  two variables interact in producing outcomes.
  What are some examples of variables that you
  might want to check using the chi-square tests?
  What would these results tell you?

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• BUS 308 Week 4 Problem Set
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• ASSIGNMENT WEEK 4 Lets look at some other
  factors that might influence pay. Complete the
  problems below and submit your work in an Excel
  document. Be sure to show all of your work and
  clearly label all calculations. All statistical
  calculations will use the 1. Using our sample
  data, construct a 95 confidence interval for the
  population's mean salary for each gender.
  Interpret the results. How do they compare with
  the findings in the week 2 one sample t-test
  outcomes (Question 1)?

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• BUS 308 Week 4 Quiz (New)
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• 1. Question The goodness of fit test null
  hypothesis states that the sample data does not
  match an expected distribution. Question 2.
  Question Statistical significance in the
  Chi-square test means the population distribution
  (expected) is not the source of the sample
  (observed) data. Question 3. Question While
  rejecting the null hypothesis for the goodness of
  fit test means distributions differ, rejecting
  the null for the test of independence means the
  variables
• interact.

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• BUS 308 Week 4 Quiz
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• 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?

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• BUS 308 Week 5 DQ 1 Correlation
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• Discussion 5-1/Correlation What results in your
  departments seem to be correlated or related to
  other activities? How could you verify this?
  Create a null and alternate hypothesis for one of
  these issues. What are the managerial
  implications of a correlation between these
  variables?

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• BUS 308 Week 5 DQ 2 Regression
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• Discussion 5-2/Regression At times we can
  generate a regression equation to explain
  outcomes. For example, an employees salary can
  often be explained by their pay grade, appraisal
  rating, education level, etc. What variables
  might explain or predict an outcome in your
  department or life? If you generated a regression
  equation, how would you interpret it and the
  residuals from it?

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• BUS 308 Week 5 Final Paper (2 Papers)
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• This tutorial contains 2 Different Papers The
  final paper provides you with an opportunity to
  integrate and reflect on what you have learned
  during the class. The question to address is
  What have you learned about statistics? In
  developing your responses, consider at a
  minimum and discuss the application of each of
  the course elements in analyzing and making
  decisions about data (counts and/or
  measurements). The course elements include
  Descriptive statistics Inferential statistics
  Hypothesis development and testing Selection of
  appropriate statistical tests

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• BUS 308 Week 5 Problem Set
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• ASSIGNMENT WEEK 5 1. Create a correlation table
  for the variables in our (Use analysis ToolPak or
  StatPlusmac LE function Correlation). a.
  Reviewing the data levels from week 1, what
  variables can be used in a Pearsons Correlation
  Table (which is what Excel produces)? b. Place
  the table here. c. Using r approximately .28 as
  the significant r value (at p .05) for a
  correlation between 50 values, what variables are
  significantly related to salary? To compa? d.
  Looking at the above correlations both
  significant or not are there any surprises by
  that I mean any relationships you expected to be
  meaningful and are not, and vice-versa? e. Does
  this information help us answer our equal pay for
  equal work question?

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