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35 Cards in this Set

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Census

Attempts to contact every individual in a population.

A census would be if you asked all the employees who work for a company if they liked working there or not.

Population

To gather information from an entire group of individuals needed for the question.

A population of group would be if we wanted to know the grades of Leland High Schools math students so we would take all the individuals needed in order to get the information we want.

Sample, Sampling

A sample is a part of the population from which we actually collect information.


Sampling involves studying a part (of the population) in order to gain information about the whole (population).

It is a method for collecting data. For example, if you want to know the favorite color of the students at your school, you take a sampling of the students by asking a small group of the total population (the student body).

random sampling

uses chance to select a sample

[This is foundational for all chapters that follow]

Convenience sampling

choosing individuals who are easiest to reach as a sample for a study or experiment.

manufacturers and advertising agencies often use interviews at shopping malls to gather info about the habits of consumers and the effectiveness of ads. a sample of mall shoppers is fast and cheap. but people contacted at shopping malls are not representative of the entire U.S. population. they are richer, for example, and more likely to be teenagers or retired. moreover, mall interviewers tend to select neat, safe-looking individuals from the stream of customers. decisions based on mall interviews may not reflect the preferences of all consumers.

Bias
When the sampling method systematically favors certain outcomes.
Convenience Sampling: choosing individuals who are easiest to reach.
Voluntary Response Sample: people who chose themselves by responding to a general appeal.

Voluntary response sample

A biased sample that consists of people who choose themselves by responding to the general appeal.

The ABC network program asks a question on domestic policy and conducts call-in polls of public opinion. Any individual who wishes to give their opinion is welcome to call and answer the question.

Simple Random Sample (SRS)

The basic probability sample that gives every possible sample of a given size the same chance to be chosen.

A group of 5 students are chosen out of a hat from a class of 30 students. In this case, the population is all 30 students, and the sample is random because each student has an equal chance of being chosen.

Random Digits (a table of)

a long string of the digits 0-9 where:


-each entry in the table is equally likely to be any of the 10 digits


-the entries are independent of each other. [knowing part of the table gives no information about any other part]

Table B

19223 95024 05756 28713 96409 12531 42544 82853

Stratified Random Sample

Sampling method for a population

Divide population into groups of individuals (strata) that are similar in some way and then choose a separate SRS in each stratum and combine these SRS's to form a full sample.
Cluster Sampling
The population is divided into groups. Randomly select a number of these clusters. All individuals in each cluster will be part of your population.

For example you want to know what Leland students favorite subject is. You randomly select five classes and ask all students in each class which subject they prefer.

Undercoverage

Undercoverage occurs when some groups in the population are left out of the process of choosing a sample.

A shampoo manufacturer wants to test how if his shampoo encourages hair growth. He tests this by measuring the amount of hair 50 Asian women have, then having the 50 women wash their hair daily with the shampoo and measuring how much hair they have by the end of the program.

There is undercoverage in this experiment, because no other ethnicities besides Asian are tested. Some hair types may differ than Asians.

Nonresponse
Occurs when an individual chosen for the sample can't be contacted or does not cooperate

For example; a single individual in the sample that you conduct about kittens refuses to cooperate because he absolutely hates kittens with a fiery passion.

Response Bias
A biased answer to a question due to the behavior of the respondent/interviewer or the wording of the question.

Biased question: Even though McDonalds is very unhealthy, would you rather eat at McDonalds or Subway?
Unbiased question: Would you rather eat at McDonalds or Subway:?

sampling frame

the list from which the sample is actually chosen

Sometimes the sampling frame is not arranged alphabetically. One year a group chose to sample from all drivers, so we asked student services for the list of students with parking tags. These are sorted by date of application.

Observational Study

The tester observes individuals and measures the variable of interest, but no treatment is imposed. (Observational studies do not imply a cause and effect relationship)

For example you are interested in whether karaoke singers who are more animated receive more applause from the audience. You visit a restaurant that has karaoke and observe karaoke singers during one evening. You rate each karaoke singer with respect to how animated the singer was. Then, you rate the degree of applause that each singer received. You then determine if there was an association between how animated the singers were and the applause that they received from the audience. [Note: a strong association does not prove that more animated singers cause the audience to respond with more clapping.]

Experiment

The tester deliberately imposes some treatment on individuals (people, animals or objects) in order to measure their responses.

An educator wants to compare the effectiveness of computer software that teaches reading with that of a traditional reading curriculum. He tests the reading ability of each student in a class of fourth graders first, and then divides them randomly into two groups. One group uses a computer regularly, the other is taught with the traditional curriculum. At the end, both groups are retested to measure any increase in reading ability.

This is an experiment, because a treatment is imposed. The explanatory variable is the teaching methods: using a computer or the traditional curriculum.
The response variable is the increase in reading ability.

Lurking Variable

a variable that is not among the explanatory or response variables in a study but that may influence the response variable.

Confounding

confounding occurs when two variables are associated in such a way that their effects on a response variable cannot be distinguished from each other.

Treatment

a specific experimental condition applied to the individuals (people, animals or objects).

A researcher uses two types of treatments for weight loss (pills and an exercise regime) for a group of volunteers to find out which works more effectively.

Experimental units

individuals (people, animals or objects) to which the experiment is applied

plants are used as experimental units in order to test out the effectiveness of a type of fertilizer.

Subjects

human experimental units on which the experiment is tested

patients in a hospital receive a certain treatment in order to test out its effectiveness.

Factor

In an experiment, an explanatory variable is often called a factor.

Some experiments involve more than one factor. [Can you think of an example?]

Level

A specific value of a factor (explanatory variable) in an experiment.

I think that temperature has something to do with the number of chirps per minute that a cricket makes. I obtain a box of crickets and place them one at a time in a temperature-controlled environment of 40, 50 and 60 degrees. The levels of this experiment are...

Randomization

the random, impersonal division of experimental units into groups or treatments in an experiment by using chance methods (random number tables, flipping a coin, etc.).

Replication

The practice of assigning each treatment to many experimental subjects. In other words, the more subjects in each treatment condition, the lower the variability of the dependent measures.

6 students are assigned to 3 treatment groups to discover the better studying method. Replication would be assigning 90 students to 3 treatment groups, instead.

Comparison

The simplest form for the "control" principle of statistical design.

Experiments should compare two or more treatments in order to prevent confounding the effect of a treatment with other influences, such as lurking variables.

statistical Significance

An observed effect so large that it would rarely occur by chance is called statistically significant.



[Note: A statistically significant association in data from a well-designed experiment does imply causation.]

How unlikely does a result need to be so that you are convinced that it could not happen by chance alone? 10%? 5%? 1%?

Principles of Experimental Design

1) Control effects of lurking variables on response, buy comparing two or more treatments.
2)Randomize--use impersonal chance to assign experimental units to treatments.


3) Replicate each treatment on many units to reduce chance of variation in results.

Control: use a placebo and a treated group, OR use more than one treatment.


Randomize: Use numbers in a hat, your calculator, or use a random digits table.


Replicate: do multiple trials to get better results.

Double Blind

Neither the subjects nor those who measure the response variable know which treatment a subject received.

For example if a doctor is giving patients either a placebo or a real treatment but neither the doctor nor the patient know whether they have the placebo or the real treatment, it is a double blind experiment.

Single-Blind

If one party (either the subjects or those interacting with them) knows what treatment is given and the other party does not, then the experiment is single-blind.

Can you give an example of a single-blind experiment?

Placebo/Placebo Effect

A placebo (fake treatment) is a neutral or inactive treatment that should have no "real" effect on the response variable.


The placebo effect occurs when some patients get better because they expect the treatment to work even though they have received an inactive treatment.

"Gastric freezing" is a clever treatment for ulcers in the upper intestine. the idea is that cooling the stomach will reduce its production of acid and so relieve ulcers. thus, the design was:

Gastric freezing-->Observe pain relief

a later experiment divided ulcer patients into 2 groups. one group was treated by gastric freezing as before. the other group received a placebo treatment in which the liquid in the balloon was at body temperature rather than freezing. 34% of the 82 patients in the treatment group improved, but so did 38% of the 78 patients in the placebo group. this and other properly designed experiments showed that gastric freezing was no better than a placebo.

Block Design

A block is a group of experimental units that are known before the experiment to be similar in some way that is expected to affect the response to the treatments.


In a randomized block design, the random assignment of experimental units to treatments is carried out separately within each block.


[Note: Separate units/subjects into blocks first, then randomly assign them to different treatment groups.]

A researcher is carrying out a study of the effectiveness of four different skin creams for the treatment of a certain skin disease. He has 80 subjects and plans to divide them into 4 treatment groups of 20 subjects each. Using a randomized blocks design, the subjects are assessed and put in blocks of 4 according to how severe their skin condition is; the 4 most severe cases are the first block, the next 4 most severe cases are the 2nd block, and so on to the 20th block. The 4 members of each block are then randomly assigned, one to each of the 4 treatment groups.

Matched Pair Design

A common type of randomized block design for comparing two treatments is a matched pairs design.



Create blocks by matching pairs of similar experimental units.



Sometimes each “pair” in a matched pairs design consists of just one experimental unit that gets both treatments one after the other. In that case, each experimental unit serves as its own control. The order of the treatments can influence the response, so we randomize the order for each experimental unit.

In class we will carry out an experiment with pulse rate. See if you can figure out how to turn it into a matched pairs design.

Lack Of Realism

Subjects, treatments, or setting of an experiment may not realistically duplicate the conditions we really want to study which prevents us from using the experiment to generalize results

A study compares two television advertisements by showing TV programs to student subjects. The students know it's "just an experiment." The results wouldn't apply to everyday viewers and this study doesn't provide a realistic setting as the subjects know they are being tested.