Describing 1 Variable Data
Describing 2 Variable Data
Sampling and Surveys
Experiments
Mixed
100

The average of all numbers in a data set. 

Add all values and divide by n

What is the mean?

100

An acronym to completely describe a scatterplot

DOFS

100

The most important thing to be aware of when conducting a survey is ___ 

BIAS.

100

Participants are assigned to treatments using a chance proces; can help interpret cause and effect.

Random Assignment

100

Occurs when some groups in the population are left out of the sample and leads to under-representation



Undercoverage

200

Be careful of the impact of large numbers! Use this measure of center when you have an outlier.

What is the median?

200

A scatterplot where all points are in a straight line has a correlation of ______. 

+ or - 1

200

A non statistical question has how many answers?

One one answer!

200

the group that is not exposed to the treatment

Control Group

200

Attempts to contact EVERY individual in the entire population



Census

300

Minimum, Quartile 1, Median, Quartile 3, and Maximum are better known as this. 

5 number summary

300

The distance from the predicted value in a scatterplot is called a ___________.

Residual

300

Asking people in the cafeteria during lunch would be an example of ____________ sampling.

Convenience sampling

300

An experiment in which either the subjects do not know which treatment a subject received, but the interviewer does.

Single Blind

300

The entire group of individuals that we want information about; the entire group you are interested in



Population

400

How do you prove a number is an outlier?

The IQR Rule

400

What impact does an outlier have on the correlation of a scatterplot?

Weakens the Correlation

400

What effect does increasing the sample size have on variability?

Increasing sample size will decrease variability and make your data more representative.

400


factors that cause differences between the experimental group and the control group other than the independent variable

confounding variables

400

describes an average distance of every score from the mean



Standard Deviation

500

= (Value - Mean) / Standard Deviation

Z-Score

500

How do you know if a residual plot is appropriate?

An appropriate residual plot shows no pattern or correlation.

500

An estimate that represents how far, at most, we expect the the sample to vary from the population.

Margin of Error. 

500

When the probability of something happening is <0.05, it is said to be __________. It is unlikely to happen because of chance

Statistically Significant

500

What is the difference between between a bar chart and a histogram?

A bar chart is for categorical data and a histogram is for quantitative data.

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