# Statistics Assignment

## Assignment Description

For this first DB, by Saturday 1/6 post your own response to this Discussion board. No classmate replies are required 0 THIS first DB.
For this DB and all other DB’s, long passages of quoted material should be avoided, as should links you may expect classmates or myself to read. Of course this does NOT
mean to exclude reference citations.
In your discussion post NUMBER YOUR ANSWERS so they are easy to find!
DB#1
Description:
Go online and find an article that uses ‘data’ from ‘studies’ to inform readers about something they should do or avoid. Example, an article that talks about a study supposedly
showing that eating more French fries will make you live longer, so eat more French fries.
In your discussion post, describe:
1) The type of article it is (informative, call to action, warning)
2) What kind of study(ies) were done to generate the data the article uses to inform/influence people into behaving a certain way. Describe how the data was generated.
Did they do experiments? Simply observe people? Review a bunch of literature of previous studies?
3) Does the article make any caution statements as to what the limitations of the study(ies) were. For example did the authors caution reads about them using too small a
sample size, of the sample wasn’t random, or dta sets were taken in multiple time periods, etc. Caution statements let the reader know that you may want to use this
information carefully (‘with a grain of salt’) when making decisions for your life.
4) Based on what you read – do you think this information is something you will use to change your life habits?
5)Why or Why not?
6) WHY do you think this assignment was made part of the course
Objectives:
Apply methods of data aggregation and reduction to business data in a manner that reveals insight about underlying pattern and key parameters of the data set.
0 Explain the various methodologies and applications relating to levels of measurement, central tendency, dispersion, and other key statistical metrics.
0 Explain the applications and limitations of statistical hypothesis testing as applied to business situations.
0 Apply the various discrete and continuous probability distributions, which are appropriate in business circumstances.
0 Explain the rationale and limitations for the application of the Normal Distribution as an approximation for other types of probability distributions.
0 Determine appropriate sampling methodologies for business settings and situations.
Apply various risk assessment tools to business circumstances and assess confidence, risk, and sampling error.

### Assignment Objectives

0 Apply methods of data aggregation and reduction to business data in a manner that reveals insight about underlying pattern and key parameters of the data set.
-Explain the various methodologies and applications relating to levels of measurement, central tendency, dispersion, and other key statistical metrics.
-Explain the applications and limitations of statistical hypothesis testing as applied to business situations.
-Apply the various discrete and continuous probability distributions, which are appropriate in business circumstances.
-Explain the rationale and limitations for the application of the Normal Distribution as an approximation for other types of probability distributions.
-Determine appropriate sampling methodologies for business settings and situations.
~Apply various risk assessment tools to business circumstances and assess confidence, risk, and sampling error.
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Last Updated on January 19, 2018

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