Sample Types
Biases
Symbols/Formulas
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Statistical Info
100

This type is when one selects from the population in a way every sample of a size has equal chance of selection

What is simple random sample?

100

One can't be forced to answer

What is nonresponse bias?

100

u and (x bar)

What is population and sample mean?

100

This is the input that spits out mean, median and mode

What is 1-Var Stats?

100

These are the two things to test before doing normalcdf for proportions

What is np>=10 and n(1-p)>=10?

200

This type doesn't allow random selection

What is sample of convenience?

200

It suggest a particular response

What is leading question bias?

200

M

What is the median?

200

This determines the area under a normal curve

What is normalcdf?

200

If for 2 samples the confidence interval is (-5,3) it's this

What is inconclusive?

300

This type makes you select an item at a start point as well as every kth item after

What is systematic sampling?

300

Strong opinions are more likely to participate

What is voluntary response bias?

300

r

What is the correlation coefficient?

300

This is the inverse of normalcdf

What is InvNorm?

300

This is the null hypothesis for paired samples

What is Ud=0?

400

When the population is too large to spread for simple random sampling, use this

What is cluster sampling?

400

No-one wants to report bad data bout their product

What is self interest bias?

400

(sigma)^2

What is population variance?

400

This test is used for independent samples

What is 2-SampTTest?

400

There are currently 3 distributions: normal, chi squared and this

What is Student t's distribution?

500

This type is where you divide the population into groups where each group is similar

What is stratified sampling?

500

People are reluctant to admit behavior that reflects negative on them

What is social acceptability bias?

500

Za/2

What is the critical value?

500

This is the test where the null is the probabilities are the same

What is X^2GOF-Test?

500

The best way to test for non-normality is look for multiple modes, large skewness, and this

What is outliers?