Introduction to Statistical Thinking
Sampling Designs
Types of Variables
Quantitative Measures
Counting Rules
Probability
Types of Random Variables
Discrete Distributions
Sampling Distributions
Hypothesis Testing
Confidence Intervals
100

Unpredictability / Uncertainty of Events

What is randomness?

100

Each member in a population has the same chance of being chosen

What is a simple random sampling design?

100

Type of variable with two or more options like the color of a car or coin flip

What is a categorical variable?

100

Most frequent observation (mean and median are ways to measure)

What is center?

100

An arrangement of a set of elements (order matters)

What is a permutation?

100

P(A∩B) = P(A) * P(B) where A and B are independent

What is the multiplication rule?

100

Outcomes can be counted like shoe size or dice sums

What is a discrete random variable?

100

Discrete distribution in which there are only two outcomes

What is a Bernoulli trial?

100

(Z-score) OR (x-value, mean, SD)

What are the two inputs you can put into pnorm?

100

What I assume to be true (always in terms of equality)

What is the null hypothesis (Ho)?

100

Range of values for the population parameter in which you FTR Ho with a certain level of confidence

What is a confidence interval?
200

Answered by collecting data that varies

What is a statistical question?

200

Each member within natural divisions in a population has the same likelihood of being in a sample

What is a stratified random sampling design?

200

Type of variable with numerical options like weight or height

What is a quantitative variable?

200

How data varies around the center (Variance, Standard Deviation, and IQR are ways to measure)

What is spread/variability?

200
The number of ways to choose k items from a group of n items (order does not matter)

What is a combination?

200

P(A∪B) = P(A) + P(B) where A and B are disjoint

What is the addition rule?

200

Outcomes cannot be counted as values can be any value within an interval like weight or tire pressure

What is a continuous random variable?

200

Fixed # of trials, outcomes are mutually exclusive, trials are independent, and probability of success is constant

What are the assumptions for the binomial distribution?

200

Shifts the normal distribution to the left or right

What does changing the mean do to a normal distribution?

200

How far the sample statistic is from the population parameter in units of standard error

What is a test statistic?

200

Number of standard errors from the point estimate

What is a critical value?

300

Process by which the treatment is given to the subject by chance

What is random assignment?

300

Samples composed of entire groups selected at random

What is a cluster sampling design?

300

Categorical variable with natural ordering / ranking

What is an ordinal variable?

300

Median and IQR

What are resistant measures to outliers?

300

All possible outcomes or results

What is the sample space?

300

P(A∪B) = P(A) + P(B) - P(A∩B)

What is the general addition rule?

300

Weighted average of outcomes

What is an expected value?
300

n*p

What is the expected value for a binomial distribution?

300

Makes the normal distribution narrower or wider

What does changing the SD do to a normal distribution?

300

Probability of observing sample data given the null hypothesis is true

What is a p-value?

300

Sample statistic for a confidence interval

What is a point estimate?

400

A list of all elements from the population being studied

What is a sampling frame?

400

Elements are selected based on their proximity to the experimenter

What is a convenience sampling design?

400

Categorical variable with no natural ordering

What is a nominal variable?

400

Mean and Standard Deviation

What are not resistant measures to outliers?

400

The outcome of a trial does not impact the outcome of another trial

What is independence?

400

P(A|B) = P(A∩B) / P(B)

What is Bayes Rule?

400

A measure that gives us probabilities of the possible values for a discrete random variable (variables may have two or more outcomes)

What is a probability mass function / discrete distribution?

400

1 - (P(x>24) + P(x>25))

How would you find the probability of getting less than 24 successes (or at most 23 successes)?

400

Allows us to approximate the sampling distribution of the sample mean or proportion with a normal distribution

Central Limit Theorem

400

Rejecting a null hypothesis that is correct

What is a Type I Error?

400

Critical Value * Standard Error

How do you calculate the margin of error?

500

An omitted variable that can influence the relationship between the two variables of study

What is a confounding variable?

500

Participants opt-in to become part of a study

What is a volunteer sampling design?

500

Categorical variable with only two options

What is a categorical binary variable?

500

The number of standard deviations a value is from the mean

What is Z-score?

500

Outcomes of a trial cannot both happen at once

What is mutually exclusive / disjoint?

500
A tool for finding the probability of events happening given another event happened

What is a contingency table?

500

How far each value deviates from the mean

What is standard deviation?

500

1-p

What is q?

500

A measure that gives us probabilities of the possible values for a continuous random variable

What is a probability density function?

500

Failing to reject a null hypothesis that is not correct

What is a Type II Error?

500

Z-score of -1.28 or 1.28

What is the critical value for a significance level of 0.1?

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