Lesson 7: Hypothesis Testing: Fundamentals and Use in Population Means and
Proportions
This lesson introduces the student to the definition and application of hypothesis testing
in statistics.
Learning Objectives
Upon completion of Lesson 7, you should be able to:
Identify the structure and goal of hypothesis testing.
Apply hypothesis testing to population means.
Apply hypothesis testing to population proportions.
What To Do Next
Reading Assignments
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assignments and lecture notes.
Assessment
There is no exam or assignment to be completed in this lesson. The material presented
in this lesson will be covered in the Lesson 8 exam.
Congratulations!
Once you have completed these items, and have received a passing score on the
assessment, you are ready to move on to your next lesson!
Reading Assignments
Text Readings
Statistical Reasoning for Everyday Life
, Chapter 9
Additional Readings
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ProQuest Articles
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Testing Fuzzy Hypotheses Based on Vague Observations: A P-value Approach
Testing for a Constant Coefficient of Variation in Nonparametric Regression by
Empirical Processes
Lecture Notes
“An approximate answer to the right problem is worth a good deal more than an exact answer
to an approximate problem.”
-John Tukey
Welcome to Lesson 7- nearly complete with our journey! An important component of statistics is
testing our hypotheses. We can’t simply assert something is true, much like the Wright Brothers
couldn’t assert their beginning planes would indeed become and stay airborne, they had to
assume they would work and then they tried it out. Trial and error and hypothesis testing have
something in common. We can all make claims, educated guesses, and even, a time or two,
assert something that wasn’t true as though it were. I liken hypothesis testing to an educated
guess (which it is!) because that is how many hypotheses begin-with an assumption, assertion,
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