Sample Proportions
Sample Means
Confidence Intervals
Vocabulary
100

The symbol used for Proportions

100

The symbol used for the POPULATION mean

μ

100
For a Mean Confidence Interval, we use this as our critical value

t*

100

A small part to represent the entire population

Sample

200

The sampling distribution can be approximated by this

The normal curve
200

The 3 conditions used 

1. Simple Random Sample

2. 10% Rule

3. Normal Distribution

200

The Point Estimate for a Proportion confidence interval

200

A number that describes the population

Parameter

300

The 3 conditions used 

1. Simple Random Sample

2. 10% rule

3. Normal Distribution

300

Equation to find the σ(x̄)

σ(x̄)=σ/√n

300

How to find the degrees of freedom

n-1

300

A number that describes the sample

Statistic

400

The equations used for the Normal Distributions condition

10≤np

10≤n(1-p)

400

If the population is skewed, how do you confirm the sampling distribution is approximately normal?

By CLT, (n≥30)

400

How you can show a Mean distribution is normal if not stated in problem or CLT

Graph a box plot of the data

400

Our best guess to estimate the population parameter

Point Estimate

500

As n increases, how does the standard deviation of p̂?

The standard deviation of p̂ decreases

500

How many times larger must your sample size be to cut the standard deviation of the distribution in half?

4 times as large

500

With a higher confidence level, how the interval is affected

A wider interval

500

How close we think we are based on the variability of the sample

Margin of Error