The need to knows:
Interpret It 1
Interpret It 2
Experiments
Normal Distributions Practice Problems
100

If you are ever asked to describe the distribution of a data set, what is the method you should use?

What is CUSS and BS?

C: Center

U: Unusual Features

S: Shape

S: Spread

BS: BE SPECIFIC

100

Interpret Slope.

For ever 1 (x unit) increase in the x, there is a predicted ______ (y units) increase/decrease in the y.

100

If you are making a conclusion for a significance test, how would you interpret the p-value if it was greater than ⍺.

Because the p-value ____ > ⍺=_____, we fail to reject H0. There is not convincing evidence that (Ha in context).

100

What is a SRS?

A SRS is a simple random sample. This means that each member if the population has an equal chance if being chosen for the sample.

100

A car comes in 3 different body styles and 5 different colors. How many possible options are there?

15 options

200

What is the 10% Condition?

This condition is checked by verifying that the sample size is no more than 10% of the population size when sampling without replacement.

200

Interpret y-intercept.

When x is 0 (x units), the predicted y is _____ (y units).

200

If you are making a conclusion for a significance test, how would you interpret the p-value if it was less than ⍺.

Because the p-value ____ > ⍺=_____, we reject H0. There is convincing evidence that (Ha in context).

200

What is bias?

Unintentionally overestimating or underestimating the true defined value.

200

Freshman GPAs at Dodgeland High School have a mean of 2.93 and standard devation of .39. What is the probability a student has a GPA of between 2 and 3?

.5627

300

What is the Central Limit Theorem?

When the sampling size of "n" is sufficiently large (n>=30), the sampling distribution of the sample mean xbar is approximately normal

300

Interpret Standard Deviation.

The values in the distribution typically differ from the mean by about ____ (units)

300

Interpret a confidence level C.

In repeated random sampling of size n=___, about C% of C% confidence intervals capture the parameter.

300

What is a cluster random sample?

A random sample conducted by randomly choosing clusters and including each member of the selected clusters in the sample.

300

The average person has 3.64 car collision claims in their lifetime with a standard deviation of 1.11. If Anna is in the bottom 20% of claims, how many claims has Anna had?

2.71 claims

400

What is the Large Counts Condition?

It states that the sampling distribution of p-hat will be approximately normal when n*p>=10 and n(1-p)>=10.

400

Interpret the correlation coefficient.

The correlation coefficient _____ shows a positive/negative, weak/moderate/strong linear relationship between (x units) and (y units).

400

Interpret a C% confidence interval.

We are C% confident that the true population (parameter) of (context) is between ___ and ___.

400

What is a systematic random sample?

A sample where individuals are "lined up" then they are chosen for the sample based off of every "nth" individual to be in the "line".

400

How many ways can I choose 8 papers to grade out of a class of 30 students?

5852925 ways

800

What is the name of each variable? (You have to know all to get full points)

(μ) (𝜎) (Sx) (𝒑) (x-bar) (p-hat)

μ: population mean

𝜎: population SD

Sx: Sample SD

𝒑: population proportion

x-bar: sample mean

p-hat: sample proportion

800

Interpret the coefficient of determination.

_____% of the variation in the (y units) can be explained by a linear relationship with the (x units).

800

Interpret Type 1 and Type 2 Errors.

Type 1: We find convincing evidence that (Ha in context) Ha is not true.

Type 2: We do not find convincing evidence that (Ha in context) when Ha is actually true.

800

What is a Stratified Random Sample

A random sample conducted by randomly choosing an SRS from each stratus and combining these groups into one sample.

800

What is the probability of pulling a red or a Queen from a standard deck of cards.

28/52

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