UNIT 2.1-2.8 [AP STATISTICS]

0.0(0)
Studied by 0 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/32

encourage image

There's no tags or description

Looks like no tags are added yet.

Last updated 4:03 PM on 10/2/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai
Chat

No analytics yet

Send a link to your students to track their progress

33 Terms

1
New cards

What are the steps of a Simple Random Sample?

  1. Label

  2. Randomize

  3. Select


2
New cards

What can one do to sample a population?

  1. Convenience Sample

  2. Voluntary Response

  3. Simple Random Sample (SRS)


3
New cards

How can one take a Stratified Random Sample?

Split the population into groups (strata) and then choose simple random samples from each strata.

4
New cards

What are strata?

The groups selected from a population in a sample.

5
New cards

What does strata have?

Each strata has individuals with shared attributes or characteristics.

6
New cards

What are good estimates?

A sampling method that produces the best estimates with low bias and low variability.

7
New cards

What is a Stratified Random Sample?

When some are sampled from all homogeneous groups.

8
New cards

What is a Cluster Random Sample?

When all are sampled from some heterogeneous groups.

9
New cards

What is a Systematic Random Sample

When one chooses a random starting point and selects based on random intervals. (Every nth one.)

10
New cards

What is undercoverage?

When some people are less likely to be chosen.

11
New cards

What is nonresponse?

When participants cannot be reached or refuse to answer.

12
New cards

What is response bias?

When there are problems in the data-gathering instrument or process.

13
New cards

What is an explanatory variable/factor?

The factor causing something.

14
New cards

What is a response variable?

The result of what the explanatory variable poses.

15
New cards

What is a confounding variable?

Another factor that is related to the explanatory and influences the response.

16
New cards

What is an observational study?

When no treatment is imposed.

17
New cards

What is an experiment?

When treatments are imposed, can showcase causation.

18
New cards

What are experimental units?

What/Who the treatment is imposed on.

19
New cards

What are treatments?

What is done/not done to experimental units.

20
New cards

What would be a well-designed experiment?

  1. Comparison (Two or more treatments.)

  2. Random Assignment

  3. Replication (More than one in each treatment group.)

  4. Control (Keep all other labels constant.)


21
New cards

How can random assignment be done?

  1. Label

  2. Randomize

  3. Assign

Utilized in order to show causation.

22
New cards

What is the placebo effect?

When a fake treatment works.

23
New cards

What is a placebo?

A fake treatment.

24
New cards

What is a single blind?

When subjects don’t know about treatments.

25
New cards

What is a double blind?

When subjects and/or experimenters don’t know about treatments.

26
New cards

What is a Block?

A group of experimental units that are similar.

27
New cards

How can a Randomized Block Design be organized?

Separate subjects into blocks and then randomly assign to treatments within each block.

28
New cards

How can a Matched Pairs Design be made?

Subjects are paired and then randomly assigned to treatments. (Each subject receives two treatments, the number of the treatments must be randomized.)

29
New cards

What is Statistical Significance?

When results of an experiment are unlikely (less than 5%) to happen purely by chance.

30
New cards

What happens when something is statistically significant?

If statistically significant, there is convincing evidence that treatment caused the difference.

31
New cards

How can one calculate statistical significance?

  1. Find the mean for each group and subtract the means.



32
New cards

What can a random sample do?

Allows us to generalize a conclusion to the population from which was sampled.

33
New cards

What can random assignment do?

Allows us to conclude a treatment causes changes in the response variable.