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MATH 221 ENTIRE COURSE

MATH 221 ENTIRE COURSE

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MATH 221 ENTIRE COURSE

Week 1

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Week 3

Week 4

Week 5.

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MATH 221 ENTIRE COURSE

Our tutorial of MATH 221 ENTIRE COURSE is the best source of learning of Descriptive statistics (graded subject) and all of containing proposal.

MATH 221 ENTIRE COURSE studies that Descriptive Statistics: If you got a data set in bigger size such as the income over the final year of our 1,000 customers, what might you be ready to do with this data? What possibly the advantages of describing the data?

MATH 221 ENTIRE COURSE also focuses on the study of Regression: Suppose you’re given knowledge from a survey displaying the IQ of each person interviewed and the IQ of his or her mom. That’s all the information that you have. Your boss has requested you to put collectively a file displaying the relationship between two variables. What may possibly you present and why?

MATH 221 ENTIRE COURSE DESCRIPTION

Week 1

Descriptive Statistics (graded)
If you were given a large data set such as the sales over the last year of our top 1,000 customers, what might you be able to do with this data? What might be the benefits of describing the data?

Week 2

Regression (graded)
Suppose you are given data from a survey showing the IQ of each person interviewed and the IQ of his or her mother. That is all the information that you have. Your boss has asked you to put together a report showing the relationship between these two variables. What could you present and why?

Week 3

Statistics in the News (graded)
Keep your eyes and ears open as you read or listen to the news this week. Find/discover an example of statistics in the news to discuss the following statement that represents one of the objectives of statistics analysis: “Statistics helps us make decisions based on data analysis.” Briefly discuss how the news item or article meets this objective. Cite your references.

Week 4

Discrete Probability Variables (graded)
What are examples of variables that follow a binomial probability distribution? What are examples of variables that follow a Poisson distribution? When might you use a geometric probability?

Week 5

Interpreting Normal Distributions (graded)
Assume that a population is normally distributed with a mean of 100 and a standard deviation of 15. Would it be unusual for the mean of a sample of 3 to be 115 or more? Why or why not?

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