Assignment Mini- Study Part I
In this course you will conduct a mini study. You will
survey 50 people through any method you choose to find out information on your
topic. You will then calculate the statistics for your data. It is important to
remember your mini study should use quantitative values since this is a
statistics course so you can complete the required calculations. When you pick
a topic, make sure it is something people are comfortable answering and that
you only use adults. Complete this worksheet and then begin your survey once it
is graded so that you can write up your results in Module 7.
Item
Description
1
State your topic
2
Who is the population for your claim? Justify your
statement.
3
What question(s) will you ask in your survey to gather
data on your claim? Explain the rationale for each question.
4
What variables will be in your study? What type of
variable are they (ordinal, nominal, discrete, continuous, etc)?
5
Where will you post your survey and how will it reach your
target population? (Facebook, email, in person, etc)
6
How will you collect your data? (Survey Monkey, Facebook
Question, By hand/Excel, etc)
7
What type of sampling method will you use? Justify your
choice and cite a reference supporting your decision.
8
What 2 types of graphs that you have learned about are the
most appropriate for your data? Justify your statement and cite a reference
supporting your decision.
*Hint: think about if your data may have outliers, is quantitative, is
categorical vs interval, etc.
9
What 8 descriptive statistics that you have learned about
are the most appropriate for your data? Justify your statement and cite a
reference supporting your decision. *Hint: think about if the data has
outliers, is quantitative, is categorical vs interval, etc. *Note: if you
have more than one survey question you can count statistics on EACH*
Length/Formatting
Length
2 Pages
Font
12 point , Calibri Font, no more than 1″ margins
Program/File Type
Submit in Word
Attachments
Should be pasted into the Word document if possible.
Referencing system
APA referencing system is necessary in assignments,
especially material copied from the Internet.
For examples of correct citations, visit the following link:
http://owl.english.purdue.edu/owl/resource/560/01/
File Name
Last Name_ First Name_ MA260_ M4
M4 Assignment Grading Rubric
Your work will be evaluated on the following criteria:
CATEGORY
Exemplary
Satisfactory
Unsatisfactory
Unacceptable
Topic and population
20 points
Student provides a clear topic with an appropriate
population that is supported with a clear rationale.
16 points
Student provides a clear topic with an appropriate
population that is not supported with a clear rationale.
10 points
Student provides a clear topic with an inappropriate
population that is not supported with a clear rationale.
4 points
Student does not provide a topic or a population.
Sampling
20 points
Student provides a clear rationale for the sampling
method with a citation. Student has a detailed plan of questions to ask and a
plan for how to survey the sample.
16 points
Student provides a clear rationale for the sampling
method without a citation. Student has a detailed plan of questions to ask
and a plan for how to survey the sample.
10 points
Student provides a clear rationale for the sampling
method without a citation. Student lacks a clear plan of questions to ask and
a plan for how to survey the sample.
4 points
Student provides a clear rationale for the sampling
method without a citation. Student does not include a plan for how to survey
the sample.
Graphical Representations of data
20 points
Student clearly describes two graphical representations
of data that are appropriate for the variables given with no errors.
16 points
Student clearly describes two graphical representations
of data that are appropriate for the variables given with small errors.
10 points
Student clearly describes less than two graphical
representations of data that are appropriate for the variables given with
some errors.
4 points
Student describes graphical representations that are
not appropriate for the given variable types.
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