Review 3

Question 1

Random Variables

Answer 1

Assigns a real number to the experimental outcome. Each value has a probability associated with it

Question 2

Discrete Distribution

Answer 2

Can only assume a finite or limited set of values

Question 3

Binomial Distribution

Answer 3

1. Only 2 mutually exclusive categories
2. Fixed number of trials
3. Constant probabilities
4. Independence

Question 4

Probability Distribution Function (PDF)

Answer 4

A listing of all of the data values and their associated probabilities

Question 5

Cumulative Distribution Function (CDF)

Answer 5

describes the probability that a random variable with a given probability distribution assumes a value less than or equal to x.

Question 6

Normal Distribution

Answer 6

One of the most important continuous distributions because a good number of random variables occurring in practice can be approximated to it. It has two parameters population mean and population standard deviation. It has a bell shaped curve, is symmetrical around the mean, and the area under the curve is the probability

Question 7

Standard Normal Distribution

Answer 7

The X-axis ranges from negative infinity to positive infinity but is divided into the number of standard deviations away from the mean

Question 8

Central Tendency

Answer 8

the center of the distribution.
Measured using the average, median, mode

Question 9

Measures of Spread or Variation

Answer 9

Quartiles, Deciles, Percentiles

Question 10

Outlier

Answer 10

values that lie far away from the majority of
values.