Need 13 question math quiz in 1 hour- multiple choice

Describe the connection between probability distributions, sampling distributions, and the Central Limit Theorem.

Identify the type of probability distribution in the following example: 

“If the weights of babies are normally distributed, what is the probability that a baby selected at random will weigh less than 5 pounds?”

Select one:

a. Poisson Probability Distribution

b. Geometric Probability Distribution

c. Binomial Probability Distribution

d. Continuous Probability Distribution

Identify the type of probability distribution in the following example: 

“What is the probability that a 45% free throw shooter will score their first free throw of the night on their fourth attempt at a free throw?”

Select one:

a. Continuous Probability Distribution

b. Poisson Probability Distribution

c. Binomial Probability Distribution

d. Geometric Probability Distribution

Identify the type of probability distribution in the following example:

“What is the probability that 5 babies are born during a particular 1-hour period at the local hospital?”

Select one:

a. Continuous Probability Distribution

b. Poisson Probability Distribution

c. Binomial Probability Distribution

d. Geometric Probability Distribution

Identify the type of probability distribution in the following example:

“What is the probability that the new drug will be effective for 7 out of 10 patients?”

Select one:

a. Poisson Probability Distribution

b. Continuous Probability Distribution

c. Geometric Probability Distribution

d. Binomial Probability Distribution

The expected value is also known as the ____.

Select one:

a. standard error

b. mean

c. standard deviation

d. probability

The ____ gives the approximate percentage of the area under a normal curve within 1, 2, and 3 standard deviations.

Select one:

a. central limit theorem

b. empirical rule

c. expected value

d. z-score

Which of the following are examples of continuous variables?

            I. Distance traveled by the ambulances of the local hospital

            II. Speeds of medical helicopters

            III. Number of students in medical school

Select one:

a. II only

b. I, II, and III

c. I only

d. I and II

e. II and III

Which of the following are examples of discrete variables?

            I. Weight of a patient

            II. Number of operations a patient has had

            III. Number of deaths per year at the local hospital

Select one:

a. II only

b. I only

c. I, II, and III

d. III only

e. II and III

Which of the following definitions does NOT related to a probability distribution?

Select one:

a. the sum of all of the assigned probabilities must be equal to 1

b. the probability is assigned to each distinct value of a discrete random variable

c. the assigned probability of a particular value or interval of values is greater than 1

d. the probability is assigned to each interval of values of a continuous random variable

Which of the following does NOT relate to a normal probability distribution?

Select one:

a. the curve has a highest point directly above the mean

b. the curve will eventually touch the horizontal axis at the very ends

c. the curve is symmetric about an imaginary vertical line through the mean

d. the curve has an area underneath equal to 1

Which of the following does NOT relate to the Central Limit Theorem?

Select one:

a. the sample distribution must be normally distributed

b. sample size of at least 30

c. the mean of the  sampling distribution is equal to the mean of the population

d. the distribution of  values

Which of the following probabilities CANNOT be found using the standard normal curve?

Select one:

a. P(z < -0.76)

b. P(z  >  1.53)

c. P(-0.76 < z < 1.53)

d. P(z = -1.53)