ap statistics section 5.1 designing samples

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AP Statistics Section 5.1 Designing Samples

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AP Statistics Section 5.1 Designing Samples. In an observational study , we simply observe individuals and measure variables , but we do not attempt to influence the responses. In an experiment , we impose some treatment on individuals to observe their responses. - PowerPoint PPT Presentation

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Page 1: AP Statistics Section  5.1 Designing Samples

AP Statistics Section 5.1

Designing Samples

Page 2: AP Statistics Section  5.1 Designing Samples

In an observational study, we simply observe individuals and

measure variables, but we do not attempt to influence the

responses.

Page 3: AP Statistics Section  5.1 Designing Samples

In an experiment, we impose some treatment on individuals to

observe their responses.

Page 4: AP Statistics Section  5.1 Designing Samples

A political scientist wants to know what percent of the voting-age population consider themselves

conservatives. What would prevent the political scientist from asking every individual of voting age their political

affiliation?

time & money

Page 5: AP Statistics Section  5.1 Designing Samples

In such a case, we gather information about only part of the group in order to draw conclusions

about the whole.

Page 6: AP Statistics Section  5.1 Designing Samples

The entire group of individuals that we want information about is called the

__________.

An attempt to collect data from every individual in a population is a called a

_______.

population

census

Page 7: AP Statistics Section  5.1 Designing Samples

The smaller part of the population that we actually examine in order to gather information is called a _______. The sample is the part from which we draw conclusions

about the whole.

sample

Page 8: AP Statistics Section  5.1 Designing Samples

Sampling is a very important statistical process because a

sample is both immediate and accurate.

Page 9: AP Statistics Section  5.1 Designing Samples

Sampling method refers to the process used to choose the sample from a population. Poor sampling methods can produce misleading

conclusions, as the following example illustrates.

Page 10: AP Statistics Section  5.1 Designing Samples

TV news and sports programs like to conduct call-in polls of public opinion.

Telephone companies charge for these calls. The ABC program Nightline asked whether

the United Nations should continue to have its headquarters in the U.S. More than

186,000 callers responded, and 67% said “No.” Why might you question the validity

of such a survey?Only those people with real strong opinions will call.

Page 11: AP Statistics Section  5.1 Designing Samples

Sampling of this type, where people choose themselves by

responding to general appeal is called a

voluntary response sample.

Page 12: AP Statistics Section  5.1 Designing Samples

A properly designed sample showed that 72% of adults wanted the UN to stay! People who go to the trouble to respond to an open invitation are not representative of the entire adult population.

Page 13: AP Statistics Section  5.1 Designing Samples

Another example of a bad sampling method is simply

choosing individuals who are the easiest to reach. This is called

convenience sampling.

Page 14: AP Statistics Section  5.1 Designing Samples

Voluntary response sampling and convenience sampling choose samples that are almost guaranteed not to represent the

entire population. These sampling methods display ____, or systematic error.

A sampling method is biased if it systematically ______ certain outcomes.

bias

favors

Page 15: AP Statistics Section  5.1 Designing Samples

The remedy for bias in choosing a sample is to allow _________________ to do the choosing. Choosing a sample by chance attacks bias by giving all individuals an

______ chance to be chosen. The use of chance to select the sample is the

essential principle of statistical sampling.

impersonal chance

equal

Page 16: AP Statistics Section  5.1 Designing Samples

The simplest way to use chance to select a sample is to place names

in a hat (the _________) and draw out a handful (the ______). This is

the idea of a simple random sample.

populationsample

Page 17: AP Statistics Section  5.1 Designing Samples

A simple random sample (SRS) of size n consists of n individuals from

the population chosen in such a way that every sample of size n is

equally likely to be chosen.

Page 18: AP Statistics Section  5.1 Designing Samples

Example: We need to pick 6 students from a class of 36. The

students are sitting in 6 rows with 6 desks in each row. Determine if

each sample is a SRS.

Page 19: AP Statistics Section  5.1 Designing Samples

a) Seat the students alphabetically and pick the first row. ______b) Randomly assign students to seats and pick the 3rd

row. ______c) Alphabetize the students’ names and pick every 6th

name. ______d) Alphabetize the students’ names and have a computer or calculator pick 6 names. ______e) Randomly sort the students’ names and pick every 6th name on the list. ______f) Arrange the students in any order and use a random digit table. ______

no

yes

no

yes

yes

yes

Page 20: AP Statistics Section  5.1 Designing Samples

On the AP test you will be required to use a random digit

table (Table B at the back of the book) to choose random samples.

Page 21: AP Statistics Section  5.1 Designing Samples

A table of random digits is a long string of the digits 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 with these two properties:

1. Each entry in the table is equally likely to be any of the 10 digits 0 through 9.

2. The entries are independent of each other. ( i.e. knowledge of one part of the table gives no information about any other part)

Page 22: AP Statistics Section  5.1 Designing Samples

To make the table easier to read, the digits appear in groups of five

and in numbered rows.

Page 23: AP Statistics Section  5.1 Designing Samples

Follow these steps to choose an SRS from a random digits table.Assign a numerical label to every individual in the population. _______Label

1,2,...,0 label populationin 10

0001,02,..., label populationin 100

Identify any numbers you would ignore.

Page 24: AP Statistics Section  5.1 Designing Samples

Use Table B to select labels at random. ________Table

Take the digits in the table in singlets, pairs, triplets, etc.

Page 25: AP Statistics Section  5.1 Designing Samples

Indicate when you should stop sampling. _____________

Use the labels to identify subjects selected to be in the sample.

______________

stopping rule

identify sample

Page 26: AP Statistics Section  5.1 Designing Samples

Example: We want to interview a sample of 5 business clients out of a population of 30 business clients

in order to find ways to improve client satisfaction. We will use a random digit table to randomly

select the five clients.

Page 27: AP Statistics Section  5.1 Designing Samples

Assign a value from 01 to 30 to each of the 30 clients.

Randomly select a starting point in Table B and read two-digit groups.

Page 28: AP Statistics Section  5.1 Designing Samples

Let’s start with line 130, which is: 69051 64817 87174 09517 84534 06489 87201 97245

Group the random digits into groups of 2:

69 05 16 48 17 87 17 40 95 17 84 53 40 64 89 87 20 19 72 45

Page 29: AP Statistics Section  5.1 Designing Samples

69 05 16 48 17 87 17 40 95 17 84 53 40 64 89 87 20 19 72 45

Cross out any numbers that are 31 or more.Cross off any repeats of 01 to 30 if they occur.Continue the process until you have 5 two digit numbers.

Page 30: AP Statistics Section  5.1 Designing Samples

Identify the 5 clients that correspond to those 5 two-digit numbers.

05 16 17 20 19