Hypothesis Testing with z Tests .edu
HYPOTHESIS TESTING WITH Z TESTS
Arlo Clark-Foos
Review: Standardization
Allows us to easily see how one score (or sample) compares with all other scores (or a population).
CDC Example: Jessica
Jessica is 15 years old and 66.41 in. tall For 15 year old girls, = 63.8, = 2.66
z = (X - ) = (66.41- 63.8) = 0.98
2.66
CDC Example: Jessica
1. Percentile: How many 15 year old girls are shorter than Jessica?
50% + 33.65% = 83.65%
CDC Example: Jessica
2. What percentage of 15 year old girls are taller than Jessica?
50% - 33.65% OR 100% - 83.65% = 16.35%
................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related download
- finding p values ti 84 instructions
- ipa training maximizing the biological interpretation of
- z tests and p values testing hypotheses σ is known and n
- p z cumulative probabilities of the standard normal
- z score table university of pennsylvania
- how to compute p values and cohen s d for z tests
- find p values with the ti83 ti84 san diego mesa college
- hypothesis testing with z tests edu
- z scores university of west georgia
Related searches
- hypothesis testing for regression
- hypothesis testing for linear regression
- p value hypothesis testing calculator
- hypothesis testing p value calculator
- hypothesis testing examples
- real world hypothesis testing examples
- hypothesis testing in nursing example
- t test hypothesis testing example
- hypothesis testing examples and solutions
- hypothesis testing in daily life
- hypothesis testing questions and answers
- hypothesis testing statistics pdf