This document outlines the course structure and content for MTH 233 Statistics. It includes the weekly modules, assignments, and discussion questions. The course covers topics such as probability, data analysis, hypothesis testing, correlation, and linear regression over 5 weeks using the MyStatLab online platform. Students are expected to complete pre-tests, post-tests, assignments, and participate in discussion questions each week to demonstrate their understanding of key statistical concepts.

1. MTH 233
Statistics
MTH 233 All Weeks :
https://uopcourses.com/category/mth-233/
MTH 233 Week 1 MyStatLab® Pre-Test
MTH 233 Week 1 MyStatLab® Post-Test
MTH 233 Week 2 MyStatLab® Pre-Test
MTH 233 Week 2 MyStatLab® Post-Test
MTH 233 Week 3 MyStatLab® Pre-Test
MTH 233 Week 3 MyStatLab® Post-Test
MTH 233 Week 4 MyStatLab® Pre-Test
MTH 233 Week 4 MyStatLab® Post-Test
MTH 233 Week 4 Hypothesis Testing Paper and Presentation
MTH 233 Week 5 MyStatLab® Post-Test
MTH 233 Week 5 MyStatLab® Pre-Test
MTH 233 Week 1 DQ 1
Significance
1. From chapter 1 of your text, the statistical significance of a study
can differ from its practical significance. Think of a situation at home,

2. at work, or in a class where statistical significance differed from
its practical significance.
Here’s an example:
Students in my high school statistics class can retake one exam per
semester. On this retake, the highest score given is 75%.
A student scores a 70% on a test and believes they can score the
maximum of 75% on a retake.
If they retake the test, their grade will go up significantly (statistically),
but they may want to wait and use their one retake on a different
exam (practical).
MTH 233 Week 1 DQ 2
Statistic?
2. What is the importance of statistics in your work or schooling? How do
you use statistics? How are you a statistic?
MTH 233 Week 1 DQ 3
Data
3. Find a graph of data on a federal government website—such as data.gov—and
provide the graph or the link to the graph. Interpret the graph in regards to
center, distribution, and outliers.
or
Provide an example of a survey or a poll, such as the Student End-of-Course
Survey. Do you believe this survey is biased? Why or why not?
MTH 233 Week 1 DQ 4
Graphs
4. Find of an example of a histogram and provide a link to the graph. Give your
interpretation of the visual. Do you find this histogram is misleading? Why or
why not?
or

3. Imagine you are a supervisor in charge of projects. Your boss has asked you to
present data on man-hours throughout the course of several projects. Using the
concepts in this week’s readings, how would you present this data? Explain.
MTH 233 Week 2 DQ 1
Car repair
1. Answer any or all of the following:
Consider repair cost for Car A and Car B. The mean repair cost for each
is $500 per year. Which statistics about repair cost may play into your
decision to purchase one of these? Which car would you choose?
Explain. Do you take the cash back or 0% financing? How do you
know? How much life insurance should you have?
MTH 233 Week 2 DQ 2
Monthly Bills
2. Create a list of representative monthly phone bills, transportation expenses,
and rent or mortgage expenses for the past year for your town or city.
Round all figures to the nearest dollar and compute the range, standard
deviation, and variance for each group of data. A statistical calculator or
software, such as StatDisk, can be used to do the computations. How does
the cost of your home compare to the other houses on your street? What
statistic should you use?
MTH 233 Week 2 DQ 3
Classical Probability
example of a
relative frequency probability.
Why is the word “or” used in the addition rule and the word “and” used in
the multiplication rule? Explain.
MTH 233 Week 2 DQ 4
Lottery

4. balls picked each drawing). Use combinations to determine your
probability of winning the grand prize. Give some other examples of
games of chance you may have played or know about. Do you have an
example of a time when you "beat the odds"?
MTH 233 Week 3 DQ 1
Confidence Interval
1. Pick out and list 10 songs you like. Find their length in seconds and use
StatDisk to construct a confidence interval. What can you conclude about your
interval? What would happen to the interval if you increased/decreased the
sample size?
MTH 233 Week 3 DQ 2
Data
2. Let’s have some fun with this DQ. Browse the Internet to find bizarre or
obscure data collection. Share your data by using a link to a website or a
YouTube video. Explain why you think anyone would collect data on this
subject and comment on their results. Please remember to keep the content
school appropriate!
MTH 233 Week 3 DQ 3
Central Limit Theorem
3. Provide an example of the use of the Central Limit Theorem from your own
life experience. Explain the scenario. One example might be calculating driving
times to or from work... (you may use this example)
MTH 233 Week 3 DQ 4
Math Activities
4. Search the Internet for interactive games or activities that involve statistics,
probability, or any math concept. Include the site, a detailed review of the
activity or game, and how you could use this site to enhance this course.
MTH 233 Week 4 DQ 1

5. Project
1. Use this thread to ask questions about your week 4 Professional Letter or
PowerPoint.
MTH 233 Week 4 DQ 2
Type I and II Errors
2. Think of a major decision you have made. What factors helped you to make
that decision? How can you relate a Type I or Type II error to your decision?
What were the ramifications of the decision?
For example, in 1995, I was thinking about moving from Florida to
Arizona.
HO: Move to Arizona
H1: Stay in Florida
A type I error would be to stay in Florida when I should have moved
to Arizona.
A type II error would be to move to Arizona when I should have
stayed in Florida.
If I had stayed in Florida, I would have probably not had some of the
job and educational opportunities that I have here in
Arizona. However, my increase in home value in Florida would have
been much higher than in Arizona (especially in this economy).
MTH 233 Week 4 DQ 3
Hypothesis Testing
3. Explain how you could set up a 5 step hypothesis test for one of the following
(or choose one of your own):
Do Radar Detectors increase speeding?
Do People really have ESP?
Does Packaging of a product increase sales?
Does duct tape work better than Band-Aids?
Do left hander’s have a shorter lifespan?

6. Do more men suffer from holiday depression?
Do nonsmokers recover from injury faster than smokers?
Is one route to work faster than another?
MTH 233 Week 4 DQ 4
Labels
4. Have you ever thought, “Am I getting the amount that I paid for ?”, or for
that matter, “Am I getting what I paid for?”. Have you ever bought something
that you thought was a good deal, only to later realize that you should have
thought more carefully? As consumers, we all purchase many bottled, boxed,
canned or packaged products. Talk about how you may have been tricked by
manufacturers labels, and how statistics (and even hypothesis testing) can allow
us to become better consumers.
MTH 233 Week 5 DQ 1
1. Find a YouTube video (informative, funny, appropriate) that you can relate
to this class. Comment on why you picked the video that you posted.
MTH 233 Week 5 DQ 2
2. Find an article on correlation and answer the following questions:
What are the two variables being studied?
Did the article include a scatterplot?
Does the association appear to be linear or curved?
Would you say that the correlation is weak or strong?
Was the correlation coefficient included?
Could you make a prediction based on the data?
Please cite your article.
MTH 233 Week 5 DQ 3

7. 3. In this week’s reading from chapter 10, linear correlation, we compare two
different variables to look for a positive, negative, or possibly no
correlation. What two variables might you want to compare? What data can
you find on the Internet about these two variables? Please include the website in
which you found your data.
MTH 233 Week 5 DQ 4
4. If the scatterplot of two variables yields points that make a perfect straight
line (either positive or negative), they are said to have “perfect linear
correlation”- the correlation coefficient is either r = 1, or r = -1. Can you think
of two variables that have perfect linear correlation? Can you think of two
variables that have absolutely no linear correlation at all- a linear correlation r =
0?