WorksheetsProbability Review
Total questions: 15
Worksheet time: 15mins
What is a random variable?
A variable that changes randomly with time.
A variable whose outcome is determined by a random experiment.
A variable with a fixed value.
A variable that follows a uniform distribution
If a probability distribution is uniform, this means:
All outcomes have equal probabilities.
The distribution is skewed.
Some outcomes have zero probability.
Probabilities increase linearly.
Which of the following is a characteristic of the normal distribution?
It has two modes.
The total area under the curve is less than 1.
It is defined only for discrete data.
It is symmetric around the mean.
How would you solve if the problem is: From the 20 DVD's you purchased this past year, you plan to take five with you on vacation. How many different sets of five DVD's can you take?
Fundamental Counting Principle
Permutation
Combination
Factorial
Which of the following is an example of combination?
Choose 4 students in a class committee.
Students line up in a queue to assembly.
Form a passcode with 4 digits.
Choose the chairperson, secretary and treasurer in a club.
How would you solve the problem: The batting order for seven players on a 12-person team?
Fundamental Counting Principle
Permutation
Combination
Factorial
In how many ways in selecting 4 desserts from 10 possible choices displayed on the dessert cart at a restaurant.
630
360
120
210
What is the number of distinct permutations of the word "PERFECT"?
2 520
420
1 042
250
Seven beads, no two of which are the same, will be put together to form a bracelet without a lock. How many ways can the beads be arranged?
360
720
2 520
5 040
Which statement about discrete and continuous variables is true?
Discrete variables are uncountable.
Discrete variables represent measurements.
Continuous variables can only take a finite number of values.
Continuous variables are used when measurements are involved.
Base on the table below, find the missing value.
0
0.05
0.1
0.5
Which of the following is NOT a requirement of a discrete probability distribution?
The sum of the probabilities must all add up to one.
The sum of the values for the random variable x must add up to 1.
Every individual probability must have a value between 0 and 1 inclusively.
There is a discrete numerical (not categorical) random variable x, and its number values are associated with corresponding probabilities.
This graph shows the probability that a man weighs between 160 and 170 pounds. What probability distribution that represents the graph below?
A constant variable
A continuous random variable
A discrete random variable
A random variable
What is the value of p in the probability distribution shown in the table?
0.5
0.1
0.05
0.15
How would you interpret the probability of distribution table below? Choose more than one answer.
The sum of the probabilities is 0.66.
The value of t is 0.34.
The mean of a given probability distribution is 1.45.
The table shows continuous distribution random variable.
The probability distribution table shows valid.
