BUS 308 Help Bcome Exceptional / bus308.com

1
BUS 308 Help Bcome Exceptional / bus308.com
For more Courses
Visit Now
www.bus308.com
2
BUS 308 Entire Course(New)
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 BUS 308
Week 3 DQ 1 ANOVA BUS 308 Week 3 DQ 2 Effect
Size
3
BUS 308 Week 1 DQ 1 Language
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.)
4
BUS 308 Week 1 DQ 2 Probability
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?
5
BUS 308 Week 1 Problem Set
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.. The
first step in analyzing data sets is to find some
summary descriptive statistics for key variables.
For salary, compa, age, Performance Rating, and
Service
6
BUS 308 Week 1 Quiz (New)
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?
5. Question The z transformation makes data
normal. 6. Question Data on the ages of
customers are ratio scale data.
7
BUS 308 Week 1 Quiz
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?
8
BUS 308 Week 2 DQ 1 Hypotheses
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?
9
BUS 308 Week 2 DQ 2 Variation
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?
10
BUS 308 Week 2 Problem Set
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.
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?
11
BUS 308 Week 2 Quiz (New)
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?
12
BUS 308 Week 2 Quiz
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?
13
BUS 308 Week 3 DQ 1 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). 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?
14
BUS 308 Week 3 DQ 2 Effect Size
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?
15
BUS 308 Week 3 Problem Set
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. 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.)
16
BUS 308 Week 4 DQ 1 Confidence Intervals
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.
17
BUS 308 Week 4 DQ 2 Chi-Square Tests
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?
18
BUS 308 Week 4 Problem Set
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. How do they compare with
the findings in the week 2 one sample t-test
outcomes (Question 1)?
19
BUS 308 Week 4 Quiz (New)
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.
20
BUS 308 Week 4 Quiz
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?
21
BUS 308 Week 5 DQ 1 Correlation
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?
22
BUS 308 Week 5 DQ 2 Regression
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?
23
BUS 308 Week 5 Final Paper (2 Papers)
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 Evaluating
statistical results.
24
BUS 308 Week 5 Problem Set
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.
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? 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?
25
BUS 308 Help Bcome Exceptional / bus308.com
For more Courses
Visit Now
www.bus308.com