Project #46340 - Statistics

Link to Textbook:


Math Reading Journal (Math 153)



In mathematics courses at the college level it is important to learn how to read the textbook. In several future courses, the content in the book may not be covered in class but is fair game for the test. Unfortunately, there is often so much information simply reading the text is difficult. A math reading journal will help you organize the important concepts and learn more from the textbook. (I still use this system for my graduate level classes.)



1.     Type out your journal in MS Word. (I may not be able to read other formats.)

2.     Create a separate page for each chapter of the book.

3.     At the top of the page, copy the title for the chapter. Under the title, include the following notes:

a.     Write a 2-3 sentence summary of the chapter. (5 points)

b.     Define any words in bold. You can either use the context of the text or the glossary (5 points)

c.     On blackboard, I will give you a question about the chapter that is meant to be answered in 2-3 sentences.  (5 points)

d.     Work out an example that best represents the chapter and explain each step. (5 points)



Each part will be collected through blackboard and graded separately on the due dates listed below. Each chapter is worth 20 points towards the reading journal grade.


 Jornal Questions for Each Chapter

·       1.2 - Statistical and Critical Thinking

What is the difference between statistical and practical significance?

1.3 - Types of Data

What is the difference between a sample statistic and a population parameter?

1.4 - Collecting Sample Data

What is a simple random sample?

·       2.2 Frequency Distributions

Why do we use frequency distributions?

2.3 Histograms

Why do we use histograms?

2.4 Graphs that Enlighten

List 3 graphs that enlighten and 2 graphs that deceive.

·       Section 3.2

When do we use median rather than mean for describing the center of a distribution?

Section 3.3

Why do we use standard deviation more often than range to describe variation?

Section 3.4

Why do we use z-scores?

·       Section 4.2

What is the difference between statistics and probability?

Section 4.3

When can we use the simple addition formula?

Section 4.4

What is the difference between disjoint and independent events?

Section 4.5

What is a conditional probability?

·       Section 5.2

What is the difference between expectation value and mean?

Chapter 5.3

Why is a dice roll not a binomial distribution?

Section 5.4

What does the expectation value for a binomial distribution mean?

·       Section 6.2

What do we have to measure on a standard normal distribution to find probability?

Section 6.3

How do we convert from a non-standard normal distribution to a standard normal distribution?

Section 6.4

Why do we often sample with replacement when we should technically sample without replacement?

Section 6.5

All sampling distributions tends toward what probability distribution?


·       Section 7.2 - Estimating a Population Proportion

Why do we need confidence intervals?

Section 7.3 - Estimating a Population Mean

When finding the confidence interval for means, why do we use the t distribution instead of the normal distribution?


Section 8.2 - Basics of Hypothesis Testing

What is the best way to increase the power of a hypothesis test?

Section 8.3 - Testing a claim about a proportion

What are the requirements for a hypothesis test for proportions?

Section 8.4 - Testing a claim about a mean

What are the requirements for a hypothesis test for means?


Section 9.2

When do we use the pooled proportion?

Section 9.3

How do we know two samples are independent?

Section 9.4

Why are matched pairs more common than using two independent samples?


·       Section 10.2

When is correlation meaningful?

Section 10.3

How do we determine which variable is the predictor and which variable is the response?







Subject Mathematics
Due By (Pacific Time) 11/07/2014 09:00 am
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