# Chapter 1 Introduction to Statistics 1 41 5

- Slides: 18

Chapter 1 Introduction to Statistics 1 -4/1. 5 Collecting Sample Data Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -1

Basics of Collecting Data Statistical methods are driven by the data that we collect. We typically obtain data from two distinct sources: observational studies and experiment. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -2

Observational Study v Observational study observing and measuring specific characteristics without attempting to modify the subjects being studied. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -3

Experiment v Experiment apply some treatment and then observe its effects on the subjects (subjects in experiments are called experimental units) Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -4

Example v The Pew Research Center surveyed 2252 adults and found that 59% of them go online wirelessly. v This an observational study because the adults had no treatment applied to them. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -5

Example v In the largest public health experiment ever conducted, 200, 745 children were given the Salk vaccine, while another 201, 229 children were given a placebo. v The vaccine injections constitute a treatment that modified the subjects, so this is an example of an experiment. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -6

Simple Random Sample v Simple Random Sample A sample of n subjects is selected in such a way that every possible sample of the same size n has the same chance of being chosen. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -7

Simple Random Sample Choose 4 students from a class. Ex 1 Row 1 G 2 G 3 pick 2 Row 2 B 1 B 2 B 3 pick 2 (not possible to pick G 1, G 2, G 3, B 1) Ex 2 1 group G 1 B 1 G 2 B 2 G 3 B 3 pick 4 (all combinations of 4 are possible) Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -8

Sampling Methods v Random v Systematic v Convenience v Stratified v Cluster v Multistage Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -9

Random Sample v Random Sample Members from the population are selected in such a way that each individual member in the population has an equal chance of being selected. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -10

Systematic Sampling Select some starting point and then select every kth element in the population. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -11

Convenience Sampling Use results that are easy to get. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -12

Stratified Sampling Subdivide the population into at least two different subgroups that share the same characteristics, then draw a sample from each subgroup (or stratum). Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -13

Cluster Sampling Divide the population area into sections (or clusters). Then randomly select some of those clusters. Now choose all members from selected clusters. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -14

Multistage Sampling Collect data by using some combination of the basic sampling methods. In a multistage sample design, pollsters select a sample in different stages, and each stage might use different methods of sampling. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -15

Design of Experiments v Randomization is used when subjects are assigned to different groups through a process of random selection. The logic is to use chance as a way to create two groups that are similar. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -16

Design of Experiments v Blinding is a technique in which the subject doesn’t know whether he or she is receiving a treatment or a placebo. Blinding allows us to determine whether the treatment effect is significantly different from a placebo effect, which occurs when an untreated subject reports improvement in symptoms. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -17

Design of Experiments v Double-Blinding occurs at two levels: (1) The subject doesn’t know whether he or she is receiving the treatment or a placebo. (2) The experimenter does not know whether he or she is administering the treatment or placebo. Copyright © 2014, 2012, 2010 Pearson Education, Inc. Section 1. 4 -18

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- Statistics Econometrics Statistics Econometrics Statistics Econometrics Statistics for
- Statistics Econometrics Statistics Econometrics Statistics Econometrics Statistics for
- Statistics Econometrics Statistics Econometrics Statistics Econometrics Statistics for
- Statistics Econometrics Statistics Econometrics Statistics Econometrics Statistics for