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• BUS 308 Entire Course(NEW)

• 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
• BUS 308 Week 2 Quiz
• BUS 308 Week 2 Quiz (New)
• BUS 308 Week 2 Problem Set

• 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?

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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. 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.

• 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.

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• BUS 308 Week 1 Quiz (New)

• BUS 308 Week 1 Quiz

• 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?

• 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

• 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). When are differences (between one
  time period and another, between different
  production lines, etc.)

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• BUS 308 Week 2 Problem Set

• BUS 308 Week 2 Quiz (New)

• 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
• 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. 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.

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• BUS 308 Week 2 Quiz

• BUS 308 Week 3 DQ 1 ANOVA

• 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?

• 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).

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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?

• 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 th 
• (Note Questions 1- 4 have additional elements to
  respond to below the analysis results.)

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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 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

• 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 (New)

• 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. 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.

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• BUS 308 Week 4 Quiz

• BUS 308 Week 5 DQ 1 Correlation

• 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?

• 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. 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?

• 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

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• BUS 308 Week 5 Problem Set

• 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.

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