1. Descriptive and Inferential Statistics

2.  You’re already familiar with statistics through radio, television, newspapers, and magazines:  Eating 10 g of fiber a day reduces the risk of hearth attack by 14% ( Readers Digest)  In 2008, the average credit card debt for college students was $3173 ( Newser.com)  About 15% of men in the U.S. are left-handed and 9% of women are left-handed ( Scipps Survey Research Center) Statistics

3.   Sports  Health  Education  Marketing  Politics Where is Statistics used?

4.  Statistics is the science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data. Statistics is used to analyze the results of surveys and as a tool in scientific research to make decisions based on controlled experiments. Other uses of statistics include operations research, quality control, estimation, and prediction. What is Statistics?

5.  1.To be able to read and understand the various statistical studies performed in your field. 2.To conduct research, design experiments, make predictions, and communicate results 3.Be a more well informed consumer and citizens Why study Statistics?

6.  1.Variable – a characteristic or attribute that can assume different values 2.Data – the values (measurements or observations) that the variables can assume 3.Random variables – variables whose values are determined by chance 4.Data Set – a collection of data 5.Data value – each value in the data set Definitions

7.   Descriptive statistics consists of the collection, organization, summarization, and presentation of data. It describes a situation.  Example: US Census Descriptive Statistics

8.   Inferential statistics consists of generalizing from samples to populations, performing estimations and hypothesis tests, determining relationships among variables and making predictions. It uses probability (the chance of an event occurring)  Example: BINGO Inferential Statistics

9.   A population consists of all subjects (human or otherwise) that are being studied. Most of the time, it is not possible to use the entire population for a statistical study.  A sample is a group of subjects selected from a population. If subjects of a sample are properly selected, they should possess similar characteristics as the subjects of the population. Population vs. Sample

10.   A decision-making process for evaluating claims about a population based on information obtained from samples.  An area of inferential statistics Hypothesis Testing

11.   Pg. 5-6 #1-6 Try it!