Tip

the number of patients in a hospital

the average amount of electricity consumed

the average weight of female athletes

the amount of paint used in repainting a building

1

2

3

0

The probability of the value of a random variable could be zero

Random variables can only have one value

The value of a random variable could be zero

The sum of all the probabilities in a probability distribution is always equal to one

With values of Random Variables X= 2, 4, 6, 8, 10 with P(X) of 0.15, 0.15,0.50,0.15,0.15 respectively

With values of Random Variables X= 0, 1, 2, 3, 4 with P(X) of 0.10, 0.15, 0.50, 0.15, 0.10 respectively

With values of Random Variables X= 0, 1, 2, 3, 4 with P(X) of 0.1, 0.2, 0.4, 0.2, 0.1 respectively

With values of Random Variables X= 2, 4, 6, 8, 10 with P(X) of 0.2, 0.2, 0.2, 0.2, 0.2 respectively

In a university, a class randomly selected as a sample has an average height of 160 centimeters

The average height of the students in a university is 160 centimeters.

Ten random students were selected from a class of 40.Their average height is 160 centimeters

To determine the average height of the students in a university , the earliest 200 students were measured and their average height was found to be 160 centimeters.

I and II

I and III

I only

II and III

The random variable has to be a real number

The probability cannot assume values that are less than 0

The probability cannot assume values greater than 1

The sum of the probabilities has to be equal to 1

standard deviation

variance

none of the above

mean

none of the above

The probability of getting heads out of a coin toss is equal to 1/2

After gathering data , it was found out that the chance of randomly selecting a left - handed person is 1/10

The probability of getting two heads out of two coin tosses is 1/4

Classical Probability

Probability Distribution

Empirical Probability

Subjective Probability

All of the Above

Normal Distribution

Frequency Polygon

Histogram

The probability of each value in a probability distribution should be more than or equal to one and less than or equal to zero.

A random variable is discrete if its set of possible outcomes is countable.

Classical probability is based on an educated guess or estimate.

Sampling distribution refers to the values of random variables and the probability assigned to them.

The number of left-handed persons in a classroom

The amount of rainfall in a randomly selected time

The number of mistakes a student makes in an exam

The year of birth of a randomly selected student

Continuous random variable

Continuous waiting time variable

Discrete random variable

Discrete hyper geometric variable

Cumulative value

Expected value

Discrete value

Weighted value

Equal to the mean of the distribution

Cannot be greater than 1

Equal to the random variable

Equal to the variance of the distribution

A probability distribution is equal to one.

A probability distribution summarizes all possible experimental outcomes and their probability

A continuous probability distribution is used to summarize a discrete random variable

A probability distribution shows the frequency distribution of a random variable

All freshmen students at MNHS

The 100 selected students

All students in MNHS

All students in MNHS

The 100 selected students

All freshmen students at MNHS

Data

Population

Sample

Parameter

Sample

Parameter

Population

Data

380,000

680,000

580,000

480,000

3.1

2.3

2.2

. 3.3

1.76

1.95

1.56

1.85

1.36

1.33

1.40

1.25