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DATA ANALYSIS
EXPERIMENTAL DESIGN
PROBABILITY
INFERENCE
Other
100

What does the acronym SOCS stand for?

What is shape, outliers, center, spread

100
What is a subject?
What is someone or something that is receiving a treatment or survey.
100
What does BINS stand for?
What is binomial, independence, number of trials(fixed), success(equal).
100
What does PANIC stand for?
What is parameter of interest, assumptions, name of interval, interval, conclusion.
100
What number describes a population?
What is parameter
200

How do you determine outliers?

Use a modified boxplot

200

What is SRS and how do you implement it?

Simple Random Sample

You need a random digits table or a hat or another random way to sort subjects

200
What is the difference between a geometric and binomial setting?
What is geometric goes until a certain amount of successes.
200

When do we use a z-test?

When the sample size is more than 30 or the population standard deviation is known.

200
Describe a sampling distribution.
What is distribution of values taken by the statistic in all possible samples of the same size from the same population.
300
What is the mean and median of 72,75,82,79,68,84,81?
What is 77.29 and 79
300
What is the reason for a control group?
What is to compare data and ensure that the treatment had an effect.
300
What is the equation for a z-score?
What is x-bar minus x, all divided by standard deviation.
300
When do you use t as the critical value?
What is for means not proportions.
300

When describing something in Statistics, what is the most important thing to include.

The context.

400
What should a residual plot look like to show a linear relationship?
What is evenly scattered above and below 0.
400
What is the difference between an experiment and an observational study?
What is experiments impose treatments on the subjects.
400

What is the area under a normal curve (number)

What is 1.

400

Describe a Type II Error in technical terms.

What is when Ha is true but you fail to reject Ho.

400

Why is it important to have a large sample size?

To reduce variance.

500

Interpret the standard deviation.

What is roughly the average distance from each point to the mean.

500

Design a way to create an experiment.  In other words, how would you group the subjects and assign them to the groups.

What is put all names in a hat. Mix names thoroughly. Pick names one at a time until you reach a designated amount. Repeat for each treatment group.

500
What happens to variances when you subtract random variables?
What is you add the two variances.
500

With a right skewed distribution, which is greater the mean or median?

The mean, its nonresistant to the influential point.

500

Why do we replicate a study over and over.

To reduce bias.