1. I can identify the difference between the population and a sample I can name and describe sampling designs I can name and describe types of bias I can obtain an SRS using a table of random digits

2.  The entire group of individuals that we want information about is called the population.  A sample is a part of the population that we actually examine in order to gather information. Parameter- a # that describes a population Statistic- a # that describes a sample I can identify the difference between the population and a sample

3. Sampling vs. a Census Sampling involves studying a part in order to gain information about the whole. A census attempts to contact every individual in the entire population. 3 I can identify the difference between the population and a sample

4.  A farmers field of corn is a population. He needs to determine the type of insects infesting the field. A census of the field would take too long – he doesn’t have time.  By sampling he examines a sample of 10 plants from various parts of the field to inspect for insects. 4 I can identify the difference between the population and a sample

5.  Getting a portion of the population is not difficult.  Getting a good sample is difficult.  Creating a plan to do this is called “sample design”. 5

6.  In an SRS, every individual has an equal chance of participating and every sample of size n has an equal chance of being chosen. The participants are chosen randomly. This can be done: a) by choosing names from a hat b) by having a computer choose randomly for us c) by assigning a numerical label to every individual in the population and using a table of random digits to select labels at random. 6 The best way to sample is to use a “simple random sample” I can name and describe sampling designs I can obtain an SRS using a table of random digits

7. Using a Table of Random Digits  Step 1: Label. ◦ Assign a numerical label to every individual in the population (sampling frame). All labels must have the same number of digits.  Step 2: Table. ◦ Use a random number table to select labels at random, or use a computerized random number generator. You must be able to describe IN WORDS what you did to obtain your sample.  Example: Consider this class as a population. ◦ Everyone is assigned a two-digit number from my alphabetized class roll (01 to 25). ◦ Start at Line 110 and select a sample of 3 students by selecting 2-digit numbers. Ignore repeats and numbers outside my range. AP Statistics, Section 5.1, Part 17 I can name and describe sampling designs I can obtain an SRS using a table of random digits

8.  First divide the population into groups of similar individuals called strata. We then choose a separate SRS in each stratum and combine these SRS's to form the full sample.  Groups are often formed around race, gender, residence, or economic status.  From this procedure we get a representative sample from the entire population. AP Statistics, Section 5.1, Part 18 I can name and describe sampling designs

9.  In this design, the population can be broken into many smaller units called clusters.  A simple random sample, SRS of clusters is selected.  From a cluster that would be selected, every unit within a selected cluster would be measured or surveyed. I can name and describe sampling designs

10. Stratified Sampling I can name and describe sampling designs

11.  Start with a list of all members of the population, then select a systematic way of choosing members.  Example: select every 100 th person 11 I can name and describe sampling designs

12.  Randomly choose stage 1 strata (for example, states)  Randomly choose stage 2 strata (for example, cities within states)  and so on until you get down to the sample size you want. AP Statistics, Section 5.1, Part 112 I can name and describe sampling designs

13.  A probability sample is a sample chosen by using a specific probability. AP Statistics, Section 5.1, Part 113 I can name and describe sampling designs

14. Voluntary response sample (example: Call in/mail back opinion polls).  The problem with call in opinion polls is that the people who answer the polls tend to have strong opinions, especially strong negative opinions.  This sample is biased; this sample is not representative of the population. 14 Bias I can name and describe sampling designs

15.  Example: survey students at the cafeteria at 12:15pm on a Thursday afternoon about some issue. What is likely to be wrong with the resulting sample? Certain students may be left out I can name and describe sampling designs

16.  The design of a study is biased if it systematically favors certain outcomes. 16 I can name and describe types of bias

17.  happens when some groups in the population are left out of the process of choosing the sample.  Groups often left out: homeless, inmates, and students in dormitories 17 Bias I can name and describe types of bias

18. Nonresponse Bias  happens when someone is unavailable for selection because they refuse to cooperate. Examples:  Some voters refuse to participate in election exit polls.  Some people sign up for the no-call list or are choose not to answer when a pollster calls. 18 Bias I can name and describe types of bias

19.  Ann Landers asked her readers, if you had to do it all over again, would you have children?  More than 70% of those that wrote in, said that kids weren’t worth it.  What type of sampling design was used? Voluntary Response Sampling  Other, more careful surveys found more than 90% of parents would have children again.  What could be a reason for such a difference in results? Bias I can name and describe types of bias

20. Response Bias  happens when someone lies or unintentionally answers falsely.  Could be influenced by the WORDING OF THE QUESTION. (Question Wording Bias) Examples:  In an election exit poll, a voter might participate but lie about how he or she voted in hopes that early returns may motivate some voters to get to the polls or to stay home.  A participant may think he or she did something recently when it is actually outside the range of time the survey requests 20 Bias I can name and describe types of bias

21.  We could have two samples that follow the same design but most likely will give us different results (Sampling Variability)  Variability is controlled by sample size. Larger samples produce statistics with less variability. 21 Sampling Variability

22. AP Statistics, Section 5.1, Part 122 List the types of Sampling Designs? Which is “the best”? Which are Bad? List the types of Bias? Response Bias Non-Response Bias Cluster Sampling Convenience Sampling Simple Random Sampling (SRS) Stratified Random Sampling Systematic Sampling Probability Sampling Voluntary Response Sampling Multistage Sampling Undercoverage BiasQuestion Wording Bias I can name and describe types of bias I can name and describe sampling designs

23. High bias & low variability Low bias & low variability Low bias & high variability High bias & high variability Rate the amount (high or low) of bias and variability in each picture. I can name and describe sampling designsI can name and describe types of bias

24. Section 4.1 Can you identify the difference between the population and a sample Can you name and describe sampling designs Can you name and describe types of bias Can you obtain an SRS using a table of random digits Classwork/Homework: # 1–16, 18, 21, 27, 28, 30, 35 Vocab Quiz on ______________