Data Types and Miscellaneous
(1.2)
Sampling Types and Biases (1.3)
Calculating center and spread
(2.2 and 2.3)
z scores and p values
(3.1 and 3.2)
Sampling distributions
(3.3)
100

Nominal Data

What is the type of categorical data which has no distinct or defined order?

100

Simple Random Sample

What is the kind of sample where each member of the population has an exactly equal chance of being selected?

100

Explain how to find the IQR given a list of values.

Put in order, find Q1 and Q3, then subtract Q3-Q1.

100

How do you calculate z score?

Your value minus the mean, then divided by the standard deviation.

100

True or false, to get the mean of the sample, you divide by the square root of the sample size.

False, the mean stays the same. (Standard error = SD/sqrt(n)

200

Data

What do you call the type of information in a known context to be studied?

200

Stratified Sampling

What do you call the type of sampling where a population is divided into smaller groups or strata and then samples are randomly selected from each group.

200

Using your notes, explain the processes of calculating the standard deviation.

Find the mean, subtract the mean from each value, square each, add, divide by n-1, square root.

200

How do you calculate the p value once you have your z score?

You use the z chart to look up the p value, matching the decimals of the z score.

200

True or false: A larger sample size leads to a smaller standard error.

True.

300

Boxplots

What is a display of numerical data where the five numbers summary is displayed?
300
Sampling bias

What happens when the sample we choose does not reflect the full spectrum of the population?

300

Five Number summary

What do you call the list that contains minimum, Q1, Median, Q3 and Maximum of a variable?

300

The empirical rule says that roughly 68% of the data should be how close to the mean?

Within one standard deviation (higher or lower).

300

True or false: if the population data is skewed right, then the means of several samples of the same size (e.g. 40) will actually tend to be normal.

True. This is known as the Central Limit Theorem.

400

Raw data

Data in original form.  It has not been organized to be studied.

400

We want to survey a sample of seniors to determine which prom themes are desired this year. Explain the parameter of interest and the sampling statistic in this scenario.

Parameter of interest = choices of all seniors, sampling statistic = choices of only those seniors surveyed.

400

fivenum

What function do they want you to use to calculate IQR?

Or,

What function gives you the five numbers summary?

400

You take the probability of one of the z-score and subtract the probability of the other z-score.

How do you find the probability between two z-scores?

400

If you are given the standard error and sample size, how can you find the original standard deviation?

Multiply standard error by the square root of the sample size.

500

Bar Graph

What is the type of chart you use to display categorical data counts or percentages?

500

Explain the difference between voluntary response bias and nonresponse bias

In nonresponse bias, we care that some have not replied, we depend on seeking them out again!

500

Interquartile Range (IQR)

What do you call the distance between Q1 and Q3?

500

You take 1 to subtract the value you find under the given z-score

How do you find the left side of the probability with a given z-score?

500

If you are given the standard error and the standard deviation, how do you find the sample size?

Divide the standard deviation by the standard error, then square it.