**Hello, below is 3 separate questions.**

**First Question: Please be sure to answer all parts of each discussion question in grammatically correct and correctly spelled English, with a minimum of 150 words. **

Second Question: Most statistical tests in this course assume the data has been collected with an appropriate sampling method such as a simple random sample and that the population has approximately a normal distribution. How would you decide that your data is approximately normal?

Third Question: Chi is a Greek letter pronounced with a K as in KITE, not a CH as in CHAIR (nor with the guttural CH as in the Hebrew L’chaim). Also, you will only see chi-SQUARE; you will not be taking a square root to find just chi; consider the SQUARE just as part of the name. The normal distribution is symmetric, so for example P(Z<.05) = P(Z>.95) = z.05 The t distribution is also symmetric. The chi-square distribution is not symmetric. Like the t table, the chi-square table requires you determine the degrees of freedom (df), equal to n-1. (We don’t do chapter 10 in this course, but in that chapter there are degrees of freedom that do not equal n-1.)

How would you describe the layout of the chi-square table compared to the layout of the normal table?

Subject | Mathematics |

Due By (Pacific Time) | 04/11/2014 12:00 am |

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