BUS 308 Innovative Educator/bus308.com

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BUS 308 Innovative Educator/bus308.com
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BUS 308 Innovative
Educator

• BUS 308 Entire Course (Ash Course)
• For more course tutorials visit
• www.bus308.com
• BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3
  3.22BUS 308 Week 1 DQ 1 Performance ReportBUS
  308 Week 1 DQ 2 The Empirical Rule vs. Chebyshev
  TheoremBUS 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
  FrequencyBUS 308 Week 2 DQ 2 Applications for
  ProbabilityBUS 308 Week 2 Quiz (10 MCQ)

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BUS 308 Innovative
Educator

• BUS 308 Entire Course(New)
• For more course tutorials visit
• www.bus308.com
• 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

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BUS 308 Innovative
Educator

• BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3
  and 3.22 (Ash Course)
• For more course tutorials visit
• www.bus308.com
• BUS 308 Week 1 Problems 1.2, 1.17, 3.3 and 3.22

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BUS 308 Innovative
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• BUS 308 Week 1 DQ 1 Language
• For more course tutorials visit
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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 Innovative
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• BUS 308 Week 1 DQ 2 Probability
• For more course tutorials visit
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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.

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BUS 308 Innovative
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• BUS 308 Week 1 Problem Set
• For more course tutorials visit
• www.bus308.com
• 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 Innovative
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• BUS 308 Week 1 Quiz (New)
• For more course tutorials visit
• www.bus308.com
• 1. Question In statistical notation, M is to µ
  as s is to s.
• 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 Innovative
Educator

• BUS 308 Week 1 Quiz
• For more course tutorials visit
• www.bus308.com
• 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. 5.
  Question If a certifying agency raises the
  requirements for real estate agents, what sort of
  decision error is the agency protecting against?

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BUS 308 Innovative
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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 Innovative
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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?

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BUS 308 Innovative
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• BUS 308 Week 2 Problem Set
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• Problem Set Week TwoComplete 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. Below are 2
  one-sample t-test comparing male and female
  average salaries to the overall sample mean.

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BUS 308 Innovative
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• BUS 308 Week 2 Quiz (New)
• For more course tutorials visit
• www.bus308.com
• 1. Question What is the relationship between
  the power of a statistical test and decision
  errors?
• 2. Question The desired sample depends on all
  of these factors except?
• 3. Question What question does the z test
  answer?
• 4. Question The desired sample size depends
  only the size of the population to be tested.
• 5. Question Each different t-distribution is
  defined by which of the following?

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BUS 308 Innovative
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• BUS 308 Week 2 Quiz
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• www.bus308.com
• 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 Innovative
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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).

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BUS 308 Innovative
Educator

• 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 Innovative
Educator

• BUS 308 Week 3 Problem Set
• For more course tutorials visit
• www.bus308.com
• 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.) Last week, we found that the average
  performance ratings do not differ between males
  and females in the population.

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BUS 308 Innovative
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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 Innovative
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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 Innovative
Educator

• BUS 308 Week 4 Problem Set
• For more course tutorials visit
• www.bus308.com
• 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 Using our sample data,
  construct a 95 confidence interval for the
  population's mean salary for each gender.
  Interpret the results.

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BUS 308 Innovative
Educator

• BUS 308 Week 4 Quiz (New)
• For more course tutorials visit
• www.bus308.com
• 1. Question The goodness of fit test null
  hypothesis states that the sample data does not
  match an expected distribution.
• 2. Question Statistical significance in the
  Chi-square test means the population distribution
  (expected) is not the source of the sample
  (observed) data.
• 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 Innovative
Educator

• BUS 308 Week 4 Quiz
• For more course tutorials visit
• www.bus308.com
• 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 Innovative
Educator

• BUS 308 Week 5 DQ 1 Correlation
• For more course tutorials visit
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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 Innovative
Educator

• 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?

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BUS 308 Innovative
Educator

• BUS 308 Week 5 Final Paper (2 Papers)
• For more course tutorials visit
• www.bus308.com
• 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).

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BUS 308 Innovative
Educator

• BUS 308 Week 5 Problem Set
• For more course tutorials visit
• www.bus308.com
• ASSIGNMENT WEEK 5 Create a correlation table for
  the variables in our (Use analysis ToolPak or
  StatPlusmac LE function Correlation). Reviewing
  the data levels from week 1, what variables can
  be used in a Pearsons Correlation Table (which
  is what Excel produces)? Place the table here.

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BUS 308 Innovative Educator