Statistics and Probability

TRUE or FALSE: The standard normal distribution of a random variable is a normal distribution with a mean of 0 and a standard deviation of 1.

• TRUE

• FALSE

Brianna flips a coin then rolls a number cube. These events are

• independent

• dependent

• both independent and dependent

• none of the above

What is the median?

• 12

• 128

• 12.8

• 10

If the correlation coefficient r = 0.98 then it refers to a ... correlation

• very strong

• weak

• moderate

• strong

Which of the following problems requires the use of Pearson correlation test statistic?

• Comparison of two sample means.

• Relationship of students’ test scores in Math and Science.

• Difference between the sample mean and population mean.

• Difference in the pretest and posttest results of a class in Math.

The total area under the curve of Normal Distribution is equal to ______ .

For a continuous probability distribution, 0 ≤ x ≤ 10. What is P(x = 7)?

What is a random variable?

• A random variable is a variable that only takes on values from a specific set of outcomes.

• A random variable is a constant that represents a specific event in a process.

• A random variable is a fixed number that does not change.

• A random variable is a variable that takes on numerical values determined by the outcomes of a random process.

Define the sample space in a probability experiment.

• The sample space is the most likely outcome of an experiment.

• The sample space is the average of all outcomes.

• The sample space is the set of all possible outcomes of a probability experiment.

• The sample space is the sum of all possible outcomes.

Explain what a probability distribution is.

• A probability distribution is a fixed set of outcomes that cannot change.

• A probability distribution is a method to calculate the average of a dataset.

• A probability distribution is a graphical representation of data points.

• A probability distribution is a function that describes the likelihood of different outcomes for a random variable.