Score:
Week 3
ANOVA and Paired T-test
At this point we know the following about male and female salaries.
Male and female overall average salaries are not equal in the population.
a.
Male and female overall average compas are equal in the population, but
Score:
<1 point>
Week 4
Confidence Intervals and Chi Square (Chs 11 - 12)
For questions 3 and 4 below, be sure to list the null and alternate hypothesis statements. Use .05 for your significance level in making your decisions.
For full credit, you need to
Score:
<1 point>
Week 5
Correlation and Regression
1.
Create a correlation table for the variables in our data set. (Use analysis ToolPak or StatPlus:mac LE function Correlation.)
a.
Reviewing the data levels from week 1, what variables can be used in a P
When I worked at my job there were various variables with my job which were correlated to
each other. For example, the productivity of a person their satisfaction or happiness level. When
an employee is satisfied, it produces better than having an unsatis
ID
Salary
Compa
Midpoint
Age
Performance Service Gender
Rating
Raise Degree
Gender
1
Gr
Students: Copy the Student Data file data values into this sheet to assist in doing your
weekly assignments.
The ongoing question that the weekly assignments will focu
How might adding confidence intervals help managers accept the results better? Why?
Point estimates are discrete values that are calculated for unknown parameter values (Tanner,
D.E., & Youssef-Morgan, C. M. (2013). I believe that adding confidence interv
Provide an example or situation of the use of data analytics in a work or personal situation.
Discuss how the use of analytics helped resolve the issue.
So, speaking of my first discussion, and working for a sign company, we make our money on
how big a jo
Hypothesis test is a way to determine a given hypothesis is true or if the result is significant.
There is no way to make an actual decision by a sample of the value alone. This is because our
text states the sample probably does not represent the populat
The performance of multiple of methods and explore the impact of specifics clinical conditions is
why we use ANOVA. ANOVAs are powerful statistical tools for detecting differences in
performance across methodologies, as well as the impact of different fac
I believe the outcome under many situations in a department or in each persons life can be
predicted using a regression equation. For example, I could use family happiness. The
compatibility and happiness could score between a couple with using a regressi
Organizations look at results in many ways: expenses, quality levels, efficiencies, time,
costs, etc. What measures does your department keep track of?
My boss is the owner of his own sign company. He keeps track of everything that goes on in his
business
Student Gradebook Exam
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What are some examples of variables that you might want to check using the chi-square
tests? What would these results tell you?
When you have two variables such as males and females and one variable, and for a second
variable would be the make of a vehicl
Variation is in almost everything we can think of in our everyday lives. They exist in our grocery
bills, utility bills, possibly even in our paychecks and in invoicing. The one variation example
that I can use is the electric bill. Some companies will us
In statistics, an effect size is a quantitative measure of the strength of an occurrence. Effect sizes
have examples which includes the correlations between two variables, the mean difference, the
regression coefficient, or also the risk with which someth
https:/takeexam.next.ecollege.com/(NEXT(541934d984)/Main/Course.
Student Gradebook Exam
Grading Summary
These are the automatically computed
results of your exam. Grades for essay
questions, and comments from your
instructor, are in the "Details" section
https:/takeexam.next.ecollege.com/(NEXT(541934d984)/Main/Course.
Student Gradebook Exam
Grading Summary
These are the automatically computed
results of your exam. Grades for essay
questions, and comments from your
instructor, are in the "Details" section
ID
Salary
Compa
Midpoint
Age
Performance Service Gender
Rating
Raise Degree
Gender
1
Gr
Students: Copy the Student Data file data values into this sheet to assist in doing your
weekly assignments.
The ongoing question that the weekly assignments will focu
In my department we can use the past data to average the amount of loans bought and sold during a
given time period in order to give us a prediction of what the market will be like in the months to
come. We often compare seasons. For example, our slow tim
What is a hypothesis test?
A hypothesis is possible explanation for any theory. A hypothesis test determines the likelihood that the
hypothesis can be true. There are two types of hypothesis. The null hypothesis and the alternate
hypothesis.
The null hypo
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 wh
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,
View the YouTube video, The Role of Data & Analytics Today, and provide an example or
situation of the use of data analytics in a work or personal situation. Discuss how the use of
analytics helped resolve the issue.
Data analytics is the process of colle
Score:
<1 point>
Week 2
1
Testing means - T-tests
In questions 2 and 3, be sure to include the null and alternate hypotheses you will be testing.
In the first 3 questions use alpha = 0.05 in making your decisions on rejecting or not rejecting the null hyp
Score:
<1 point>
Week 2
1
Testing means - T-tests
In questions 2 and 3, be sure to include the null and alternate hypotheses you will be testing.
In the first 3 questions use alpha = 0.05 in making your decisions on rejecting or not rejecting the null hyp