1. Producing Data Lab #3 Reading correlation table: Bottom of p. 52 and top of page 53 of Sorenson Reading regression output to construct your equation: Sorenson p. 55. You need information in “coefficients” table – table 5.2

2. Producing Data SAMPLING Exploratory Data Analysis the use of tables and graphs to aid in describing of quantitative data Conclusions pertain to specific data What happens when we wish to answer a question about large groups of individuals We must collect data in such a way that will allow answering such questions E.g. What are the attitudes of American population towards gambling? Census Samples

3. Producing Data Two ways of gathering sample data Observational Study Observes individuals and measures variables without the attempt to influence the responses. Ask students how they feel about cumulative final exams – sample survey/opinions A biologist studies the behavior of lobsters through observation of such behavior

4. Producing Data Two ways of gathering sample data Experiment Imposes some treatment on individuals in order to observe response To understand cause and effect Involves intervening not just observing Medical experiment where 20,000 male physicians over age 40 were used to test the theory that aspirin reduces risk of heart attack

5. Producing Data Confounding Observational studies should not be used in the study of effect of one variable on another Explanatory variable is confounded with lurking variables. Two variables are confounded when their effects on a response variable cannot be distinguished from each other Moderate use of alcohol is associated with better health. Some studies suggest that drinking wine rather than beer or spirits confers added health benefits. Confounding?

6. Producing Data But, people who prefer wine are different from those who drink mainly beer and stronger stuff. Wine drinkers eat more fruit and vegetables and less fried foods. Their diets contain less fat, less cholesterol, and also less alcohol. They are less likely to smoke. Finally, wine drinkers as a group are richer and better educated than people who prefer beer or spirits. Conclusion from study: The apparent health benefits of wine compared with other alcoholic beverages, as described by other, may be a result of confounding by dietary habits and other lifestyle factors.

7. Designing Samples Sample Design – method used to choose the sample from the population Sampling design practices are extremely important as improper designs may render experimental results to be misleading or invalid

8. TYPES OF SAMPLING NON-PROBABILITY SAMPLES VOLUNTEER SAMPLING Sample based on individuals who volunteered to participate in a study – choose themselves for study CONVENIENCE SAMPLING Choosing individuals for study based on availability Individuals are easiest to reach Corner interviews; call-in telephone polls; mall surveys, etc.. Samples open to bias – sampling bias – systematically favors choosing certain individuals for samples, and thus favors certain outcomes or conclusions from the data

9. TYPES OF SAMPLING PROBABILITY SAMPLES Attempt to minimize bias 1.SIMPLE RANDOM SAMPLE (SRS) Consist of individuals from a population chosen in such a way that every set of n individuals has an equal chance to be the sample actually selected Srs gives each individual an equal chance of being chosen Srs gives each sample an equal opportunity of being chosen SAMPLING FROM A FINITE POPULATION

10. TYPES OF SAMPLING PROBABILITY SAMPLES – samples chosen by chance 1.SIMPLE RANDOM SAMPLE (SRS) IDEA: to choose our sample by drawing names from a hat. Let computer software randomize via TABLE OF RANDOM DIGITS A table of random digits is a long string of the digits 0 through 9 with these properties: 1.Each entry in the table is equally likely to be any of the 10 digits No value produced by a random number generator should be any more likely than any other Probability distribution of numbers produced must be uniform 2.The entries are independent of each other. There should be no possibility of predicting the next number before it appears In random samples, each individual has an equal chance of being chosen into the sample

12. TYPES OF SAMPLING Chose a simple random sample of 5 individuals from the following list of students Adam Trisha Donna Paul John Oscar George Maria Anna Catherine Michael Robert