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

What type of data is used in Likert scales?

Ordinal

100

What is the ideal type of sample we desire in any statistical study, one in which all members of the population have an equal likelihood of being selected?

Simple Random Sample

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
True or false: We can represent categorical data using a histogram.

False, we can only represent numerical data in a histogram.

200

Explain how stratified random sampling works.

Split population into clusters or groups, then select a random sample from each of those clusters.

200

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

What are the names of (a) the woman in the videos we watch and (b) the coordinator of OnRamps Statistics?

Kristin Harvey and Mike Young

300

When studying whether serving ice cream and number of drownings are related, a statistician realizes there is, in fact, a correlation. To imply causation, they would be failing to account for what type of variable?

Confounding variable (summer months)

300

How do you know when to use the mean/SD or median/IQR to represent the center and spread of the data?

Normal = mean/SD, skewed or bi-modal = median/IQR

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

Explain a common error in typing code into RStudio

Wrong names of labels/variables, missing characters in the commands.

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

How do you calculate the mean of a frequency chart?

You multiply each value times its frequency, add up those totals, then divide by how many data points you have.

400

If you want the percentage of the data greater than a particular value, how do you use the z chart differently?

Using the z score, find the p value, but subtract that p value from 1.000

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

If you don't have a 60 in the class after the midterm, there is another way to earn eligibility to get college credit. How can you do that?

Obtain a certain score on one of these: TSI, SAT, or ACT

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

How do you calculate the median, Q1, and Q3 of a frequency chart?

You count from one end to the other, identifying which bin contains the halfway point, the 25th percentile, and the 75th percentile, respectively.

500

If you want the 80th percentile, how do you use your z chart to find the value?

Find the closest p value near 0.800, then work backwards to find the z score...then the initial value.

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.