Worksheets3rd QUARTER REVIEWER
Total questions: 30
Worksheet time: 7mins
Branch of mathematics that deals with uncertainty.
Probability
Possibility
Statistics
Outcome
Latin word which means to prove or to test.
proba
probe
probabe
probare
Certain to happen
25%
50%
75%
100%
Uncertain to happen
0%
25%
50%
100%
List of possible outcomes of an experiment.
Experiment
Sample Space
Event
Outcome
Which method is used when identifying the total number of possible outcomes?
Table
Systematic Listing
Tree Diagram
Fundamental Counting Principle
The occurrence of any event does not affect the occurrence of the other.
Dependent Event
Independent Event
Mutually Exclusive Event
Not Mutually Exclusive Event
The occurrence or non - occurrence of one event in any trial affects the probability of other events.
Independent Event
Dependent Event
Mutually Exclusive Event
Not Mutually Exclusive Event
One possible outcome of an event
Independent Event
Dependent Event
Mutually Exclusive Event
Not Mutually Exclusive Event
Probability that an event will occur given that another event has already occurred.
Joint Probability
Marginal Probability
Conditional Probability
Random Probability
Most frequently used measure of central tendency.
Mean
Median
Mode
Statistics
A function or rule that assigns a number to each outcome of an experiment
Random Variable
Probability Distribution
Discrete Random Variable
Continuous Random Variable
Values that can be counted
Random Variable
Probability Distribution
Discrete Random Variable
Continuous Random Variable
Values that are measurable
Random Variable
Probability Distribution
Discrete Random Variable
Continuous Random Variable
Mapping or listing of all values of random variable to their corresponding probabilities for a given sample space
Random Variable
Probability Distribution
Discrete Random Variable
Continuous Random Variable
Theoretical average of the variable
Mean
Expected Value
Probability Density Function
Cumulative Distribution Function
Probability that the random variable X is less than or equal to x
Mean
Cumulative Distribution Function
Expected Value
Probability Density Function
P(A∪B)=P(A)+P(B)−P(A∩B)
Addition rule 1
Addition rule 2
Multiplication rule 1
Multiplication rule 2
Conditional Probability
P(A∪B)=P(A)+P(B)
Addition rule 1
Addition rule 2
Multiplication rule 1
Multiplication rule 2
Conditional Probability
P(A∩B)=P(A)⋅P(B)
Addition rule 1
Addition rule 2
Multiplication rule 1
Multiplication rule 2
Conditional Probability
P(A∩B)=P(A)⋅P(BlA)
Addition rule 1
Addition rule 2
Multiplication rule 1
Multiplication rule 2
Conditional Probability
P(AlB)=P(B)P(A∩B)
Addition rule 1
Addition rule 2
Multiplication rule 1
Multiplication rule 2
Conditional Probability
Height of a pig
Discrete
Continuous
Age of a student
Discrete
Continuous
Hair strand
Discrete
Continuous
Number of commercials per hour
Discrete
Continuous
Probability of getting an even number from numbers 1 – 10
1/4
1/2
2/3
2/5
A box contains 7 red balls, 5 orange, 4 yellow, 6 green, and 3 blue. What is the probability of getting an orange ball?
1/3
1/5
2/3
3/4
Choosing a month from a year. What is the probability of selecting a month with 31
7/12
1/2
5/12
3/12
1. Probability of selecting a consonant letter in the word TRUST WORTHY.
9/11
9/10
2/11
2/10
