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BUS 308 Course Success is a Tradition
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• BUS 308 Entire Course

• BUS 308 Week 1 DQ 1 Language

• BUS 308 Week 1 DQ 1 Language
• BUS 308 Week 1 DQ 2 Probability
• BUS 308 Week 1 Quiz
• BUS 308 Week 1 Problem Set
• BUS 308 Week 1 Quiz (New)
• BUS 308 Week 2 DQ 1 Hypotheses
• BUS 308 Week 2 DQ 2 Variation

• 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?

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• BUS 308 Week 1 DQ 2 Probability

• BUS 308 Week 1 Problem Set

•  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.

• 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..
• 2. The first step in analyzing data sets is to
  find some summary descriptive statistics for key
  variables.

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• BUS 308 Week 1 Quiz

• BUS 308 Week 1 Quiz (New)

•  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?

• 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.

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• BUS 308 Week 2 DQ 1 Hypotheses

• BUS 308 Week 2 DQ 2 Variation

• 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?

• 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).

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• BUS 308 Week 2 Problem Set

• BUS 308 Week 2 Quiz

•  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

• 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 Week 2 Quiz (New)

• BUS 308 Week 3 DQ 1 ANOVA

• 1. 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.

•  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

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• BUS 308 Week 3 DQ 2 Effect Size

• BUS 308 Week 3 Problem Set

• 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?

• (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

• BUS 308 Week 4 DQ 2 Chi-Square Tests

• 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

• 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

• BUS 308 Week 4 Quiz

•  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. 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?

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• BUS 308 Week 4 Quiz (New)

• BUS 308 Week 5 DQ 1 Correlation

•  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.

• 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

• BUS 308 Week 5 Final Paper (2 Papers)

• 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.

• 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).

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• BUS 308 Week 5 Problem Set

• 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)?

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