Final Review Chapter 1

Descriptive statistics used to describe your sample population, Summary statistics, data analysis begins with descriptive statistics. Methods of organizing, summarizing, and presenting data in an informative way.

The methods used to estimate a property of a population on the basis of a sample.

Quantitative - numerical, example: age. Qualitative - Non-numerical, example: favorite color.

Discrete involves whole numbers, example: # children. Continuous can be decimal or fraction, example gallons of gas.

1) Nominal level: Qualitative - no order, example: favorite color. 2) Ordinal level: - likerscale, is order. 3) Interval: Quantitative - doesn't have a meaningful zero and ratios doesn't make sense, Example like temperature, or dresses sizes. 4) Ratio level: - income, # of cars, # of children, Ratio makes sense and has a meaningful zero.

Examples are from quiz one:

Continuous it can be decimal or fraction, example gallons of gas.

Discrete because it involves whole numbers, example: # children. Continuous can be decimal or fraction, example gallons of gas.

Quantitative is numerical, example: age.

Nominal - Is Qualitative - no order, example: favorite color.

Quantitative is numerical, example: age.

Statistical inference.

Ratio, Ratio level: - income, # of cars, # of children, Ratio makes sense and has a meaningful zero.

Ordinal - likerscale, is order.

Qualitative is Non-numerical, example: favorite color.

Summarize data in a useful and informative manner.

Sample

Inferential statistics

Quantitative

Predicting

Qualitative