VOCAB
FORMULAS
THEOREMS
CALCULATOR
100

What is a statistic?

 A numerical summary of a sample.

100

What is the formula for calculating a z-score?

(Value - Mean) / Standard Deviation.

100

What is the Central Limit Theorem?

It describes a theoretical result as the sample size approaches infinity.

100

How do you access the data entry screen on a TI calculator?

Press 'STAT' and choose 'EDIT'.

200

What is an unbiased estimator?

An estimator that it does not systematically overestimate or underestimate the population parameter.



200

What is the formula for variance in a binomial distribution?

np(1-p), where n is the number of trials and p is the probability of success

200

What does the Law of Large Numbers highlight?

It states that in a large enough sample, the sample proportions will be normally distributed.

200

mean 

STAT, EDIT, plug in data, STAT, CALC, press the 1st option

300

What is a biased estimator?

An estimator that systematically overestimates or underestimates the population parameter.

300

Standard of deviation of the sampling distribution of p̂ 

p multiplied by the value of 1 -p, all of it is divided by n and the entire procedure is square rooted.

300

Large counts condition

np≥ 10 and n(1-p)≥ 10


300

standard of deviation

STAT, EDIT, plug in data, STAT, CALC, press the 1st option

400

What is the sampling distribution for sample proportions?

 The distribution of all possible sample proportions that could be obtained from samples of the same size taken

400

Sampling distribution of x̄ standard of deviation

standard deviation/ square root of n

400

What does the Confidence Interval Theorem say?

 It provides a way to estimate the margin of error for a proportion based on sample size and variability.

400

normalcdf

2nd, VARS, press the second option

500

What is the sampling distribution of the sample mean x̄


Describes the distribution of values taken by the sample mean x̄ in all possible samples of the same size from the same population. 


500

 What is the formula for standard error?

 (Standard deviation of sample) / sqrt(n), where n is the sample size.

500

The sampling distribution of x̄ will be approximately Normal when...

sample size is equal to or bigger than 30 and if the population distribution is Normal 

500

InVnorm

2nd, VARS, press the third option