Process of Random Sampling, Review Material
Vocabulary
Observational Study or Experiment
Generalization and Causation
Types of Bias
200

The measures of center

mean and median

200

A false treatment that when given, sometimes to a control group, compare the effects of an actual treatment

placebo

200

Observes individuals and measures variables of interest but does not attempt to influence the responses

observational study

200

You need this in place in order to generalize results to a population

random sampling

200

Bias introduced to a sample when individuals can choose on their own whether to participate in the sample

voluntary response

400

The measures of variability

range, interquartile range (IQR), standard deviation

400

The group of subjects who do not receive a treatment AND the reason that one is needed in an experiment

control group

so that a group of untreated subjects exists to compare to

400

Deliberately imposes some treatment on individuals to measure their response. 

experiment

400

This needs to be in place in order to conclude causation in an experiment

Random Assignment

400

A sampling scheme that biases the sample in a way that gives part of the population less representation then it has in the population

undercoverage

600

To randomly assign 25 people out of 50 to a treatment... complete the last step.  Be specific!

-  Assign each person a number from 1-50

-  Randomly generate 25 numbers between 1 and 50, ignoring any repeats

-  ?? 

The 25 people whose numbers were selected will receive the treatment, the remaining 25 will be in the control group

600

In a study, when the researchers know who is getting a treatment, but subjects do not

single blind

600

A medical team examines the records of 5 large hospitals and compares the survival times of those cancer patients who had surgery versus those who had chemotherapy. 

Observational Study 

600

I randomly sample seniors from WMHS about their favorite sport.  Can I generalize the results to the entire school?


No, because it was not a random sample of the entire school... only from seniors.


(You could generalize the results to all seniors.)

600

Bias introduced when a large fraction of those randomly sampled fails to respond, and those who do respond are likely to not represent the population.

nonresponse

800

The IQR in the boxplot below

8

800

The value that the experimenters record as data to see any difference between a control group and a treatment group

response variable

800

In gym class, the effect of exercise on blood pressure is studied by requiring that half of the students walk a mile each day while the other students run a mile each day,

Experiment

800

In an experiment to see if a SAT prep class affects SAT grades, I let students choose if they wanted to be in the class or not. I saw that the SAT prep class got higher scores overall. Can I conclude that the prep class causes higher scores

No, because the treatments were not randomly assigned

800

Anything in a survey design that influences responses falls into this category of bias

response

1000

The mean SAT score for students graduating high school in the year 2024 was 505.  The standard deviation for these same scores was 125.


Interpret the standard deviation.  THIS MUST BE PERFECTLY CORRECT

the SAT scores for HS graduates in 2024 typically differed from the mean of 505 by 125

1000

What the results of a study are off from the truth this is often because of some type of

Bias or confounding variable

1000

The relationship between weights of bears and their lengths is studied by measuring bears that have been anesthetized 

Observational Study

1000

What conclusion can I make from the following Experiment?

50 NBA players are chosen randomly to be in this study. 25 are randomly assigned to wear Jordans in their next game and 25 are randomly assigned to wear LeBrons. The player wearing Jordans overall scored higher than the LeBron group.

Among all NBA players, wearing Jordans causes players to get more points than LeBrons 

1000

This is the reason that convenience sampling produces bias

the sample will not accurately represent the population

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