Samples
In an Experiment
Probably Probability
Rules Rules Theorem!
Stat(ist)ic
100

a sample by dividing the population into clusters and selecting a few whole clusters as samples.

Cluster Sample

100

information coming from observations, counts, measurements, or responses.

Data

100

situations that can be reduced into two outcomes

Binomial Distributions

100

(for normal distribution) Approximately 68% of the data falls within 1 standard deviation of the mean. 

Empirical Rule

100


the branch of statistics that involves the organization, summarization, and display of data. 


Descriptive Statistics

200

a sample selected based on whatever is convenient for the researcher.

Convenience Sample

200

an action, or trial, through which specific results (counts, measures, responses) are obtained.

Event

200

the set of the outcomes in a sample space that are not included in the outcomes of the event.

Complement of An Event

200

If samples of size n (where n is greater than or equal to 30) are drawn from any population (with µ and σ), the the sampling distribution of sample means approximates a normal distribution.

Central Limit Theorem

200

A relationship between two variables

Correlation

300

selects by dividing the population up into groups by some characteristic that is important to the study, then sample from each group.

Stratified Sample

300

the amount of times a value appears in the data set

Frequency

300

a range of numbers that gives reasonable values for a parameter.

Confidence interval

300

the organization of raw data in table form using classes and frequency.

Frequency Distribution

400

selecting every kth subject of the group.

Systematic Sample

400

a statement about a population parameter.

Hypothesis

400

sum of the frequency of a class and all other previous classes.

Cumulative Frequency

500

the five specific values used to construct a boxplot. The numbers are listed from least to greatest.

Five Number Summary

500

the group not being manipulated in an experimental study.

Control Group

500

probability that relies on actual experience to determine the likelihood of outcomes.

Experimental Probability