Histogram of C1
16
14
Frequency
12
10
8
6
4
2
0
0
2
4
6
8
C1
This data set looks like how many times something happens over a period of time. It does look
like the frequency is unpredictable which can be scary. It seems as though as time progresses it can
Heather Bennet
Minitab Assignment 2
Boxplot of C1
17.5
15.0
C1
12.5
10.0
7.5
5.0
Histogram of C1
18
16
14
Frequency
12
10
8
6
4
2
0
6
8
10
12
14
16
18
C1
1) The boxplot lets the person know the averages of the group of numbers. The histogram tells the
per
Activity 1.1.3: Persons of Interest
Person of Interest Alex Garcia:
Alex is Annas former husband.
Alex and Anna went through a nasty divorce last year. As soon as the divorce
was finalized, Alex quickly remarried a much younger woman.
Alex and his new wif
Chapter 12
Linear Regression and Correlation
12.1 Linear Regression and Correlation1
12.1.1 Student Learning Outcomes
An outline of what
we're going to be
doing in this chapter!
By the end of this chapter, the student should be able to:
Discuss basic idea
Chapter 4
Discrete Random Variables
4.1 Discrete Random Variables1
4.1.1 Student Learning Outcomes
By the end of this chapter, the student should be able to:
Recognize and understand discrete probability distribution functions, in general.
Calculate and i
Chapter 2
Descriptive Statistics
Review the Student
Learning Outcomes for this
chapter; this is an outline of
the material we will study.
2.1 Descriptive Statistics1
2.1.1 Student Learning Outcomes
By the end of this chapter, the student should be able to
Chapter 8
Confidence Intervals
Again, a list of what we'll be
covering in this chapter.
8.1 Confidence Intervals1
8.1.1 Student Learning Outcomes
By the end of this chapter, the student should be able to:
Calculate and interpret confidence intervals for
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Chapter 3
Probability Topics
3.1 Probability Topics1
3.1.1 Student Learning Outcomes
By the end of this chapter, the student should be able to:
While this is an introduction
to Probability, this is
generally a new topic for
students in this class; take
yo
Chapter 1
Sampling and Data
1.1 Sampling and Data1
1.1.1 Student Learning Outcomes
By the end of this chapter, the student should be able to:
Recognize and differentiate between key terms.
Apply various types of sampling methods to data collection.
Cre
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Chapter 7
The Central Limit Theorem
7.1 The Central Limit Theorem1
7.1.1 Student Learning Outcomes
By the end of this chapter, the student should be able to:
Recognize the Central Limit Theorem problems.
Classify continuous word problems by their distribu
Chapter 5
Continuous Random Variables
1
5.1 Continuous Random Variables
We will omit the
exponential distribution.
5.1.1 Student Learning Outcomes
By the end of this chapter, the student should be able to:
Recognize and understand continuous probability
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Mat 129-67 - Statistics
Mary Jane Heider
[email protected]
Summer 2016
Genesee Community College
Catalog Description and Student Learning Outcomes . 2
How to Contact Me . 3
Books and Materials. 4
Schedule . 5
Grading .
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Chapter 6 looks like a
short chapter, but it has
a *lot* of important
information.
Chapter 6
The Normal Distribution
6.1 The Normal Distribution1
6.1.1 Student Learning Outcomes
By the end of this chapter, the student should be able to:
Recognize the nor
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