Chapter 1
Chapter 2
Chapter 3
Chapter 4
Random
100

(Blank) are the values that the variables can assume.

What is DATA?

100

There are the two types of frequency distribution. 

What is categorical frequency distribution and grouped frequency distribution

100

Calculate the mean of the following numbers: 32, 14, 11, 58, 20, 26, 37

What is 28.29 (198/7=28.29)

100

This type of diagram is used to find the sample space of large samples.

What is a TREE DIAGRAM

100

In this type of study, the researcher manipulates one of the variables and tries to determine how the manipulation influences other variables.

What is an Experimental Study

200

Draw a diagram representing: Sample vs Population

Sample shape within Population shape

200

This type of graph displays data by using continuous vertical bars of various heights to represent the frequencies of the classes. 

What is a HISTOGRAM

200

Q3 minus (-) Q1 is the formal for this measure of spread.

What is IQR

200

This is the formula for classical probability. 

What is P(E) = n(E)/n(S)

where P(E) = probability of event

n(E) = number of outcomes

n(s) = total number of outcomes in sample space

200

Calculate the standard deviation of a sample which has a variance of 63

sqrt of 63 = 7.937

300

This type of variable is the one being manipulated by the researcher.

What is INDEPENDENT VARIABLE

300

These are the five attributes associated with class in a frequency distribution table.

What is 1. lower class limit 2. upper class limit 3. class boundaries 4. class width 5. class midpoint

300

These are required in a five-number summary.

What is 1. lowest value 2. Q1, 3. Q2 = median, 4. Q3, 5. highest value

300

List the two (2) conditions for a probability test.

What is 0 less than or equal to P(E) less than or equal to 1 and sum of P(E) = 1

300

Draw the empirical curve and label the three block percentages. 

What is 68%, 95% and 99.7%
400

These are the four (4) main types of variables.

What is QUALITATIVE, QUANTITATIVE, CONTINOUS, and DISCRETE

400

Draw a time series graph on the board. Label your X and Y axis

y axis = frequency

x axis = units of time

400

These are the four (4) measurements of central tendency. 

What is MEAN, MEDIAN, MODE, and MIDRANGE

400

Name one of the two probability addition rules.

a. P(A or B) = P(A) + P(B) aka mutually exclusive

b. P(A or B) = P(A) + P(B) - P(A and B) aka not mutually exclusive 

400

Draw a tree graph showing the possible outcomes if a coin flipped three times.

{HHH, HHT, HTH, HTT, THH, THT, TTH, TTT}

500

Give the definition of either a systemic sample or a stratified sample. Double points if you can do both.

Systemic sample: a sample obtained by selecting the kth member of a population where is a counting number. 

Stratified sample: a sample obtained by dividing the population in subgroups (or strata) according to some characteristic relevant to the study; then subjects are selected from the subgroups

500

List the six (6) frequency distribution rules:

What is

a. 5-20 classes; b. class width should be odd; c. classes must be mutually exclusive; d. classes must be continuous; e. classes must be exhaustive; f. classes must be equal in width

500

Draw where the mean, median, and mode are on a right skewed distribution curve.

from left to right: mode, median, mean

500

Name one of the multiplication rules for probability.

P(A and B) = P(A) x P(B) aka independent 

P(A and B) = P(A) x P(B/A) aka dependent 

500

This is the formula for a combination where order does not matter.

What is nCr = (n!)/ ((n-r)! x r!)