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BUS 308 Entire Course(NEW) FOR MORE CLASSES
VISIT www.bus308mentor.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 Week 1 DQ 1 Language FOR MORE CLASSES
VISIT www.bus308mentor.com   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 FOR MORE CLASSES
VISIT www.bus308mentor.com   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.
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BUS 308 Week 1 Problem Set FOR MORE CLASSES
VISIT www.bus308mentor.com   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) FOR MORE CLASSES VISIT
www.bus308mentor.com   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 FOR MORE CLASSES VISIT
www.bus308mentor.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.
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BUS 308 Week 2 DQ 1 Hypotheses FOR MORE CLASSES
VISIT www.bus308mentor.com   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 FOR MORE CLASSES
VISIT www.bus308mentor.com   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 FOR MORE CLASSES
VISIT www.bus308mentor.com   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.
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BUS 308 Week 2 Quiz (New) FOR MORE CLASSES VISIT
www.bus308mentor.com   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 FOR MORE CLASSES VISIT
www.bus308mentor.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? 4. Question
If ANOVA reveals that four different
departments have significantly different levels
of productivity, what will a post-hoc test
indicate?
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BUS 308 Week 3 DQ 1 ANOVA FOR MORE CLASSES VISIT
www.bus308mentor.com   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 FOR MORE CLASSES
VISIT www.bus308mentor.com   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 FOR MORE CLASSES
VISIT www.bus308mentor.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
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BUS 308 Week 4 DQ 1 Confidence Intervals FOR
MORE CLASSES VISIT www.bus308mentor.com   Discuss
ion 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 FOR MORE
CLASSES VISIT www.bus308mentor.com   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 FOR MORE CLASSES
VISIT www.bus308mentor.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
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BUS 308 Week 4 Quiz (New) FOR MORE CLASSES VISIT
www.bus308mentor.com   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 FOR MORE CLASSES VISIT
www.bus308mentor.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?
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BUS 308 Week 5 DQ 1 Correlation FOR MORE CLASSES
VISIT www.bus308mentor.com   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 FOR MORE CLASSES
VISIT www.bus308mentor.com   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) FOR MORE
CLASSES VISIT www.bus308mentor.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). The course elements
include Descriptive statistics
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BUS 308 Week 5 Problem Set FOR MORE CLASSES
VISIT www.bus308mentor.com   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
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