STAT 200 ADVANCED PROBABILITY
AND STATISTICS - WEEK 4 QUESTIONS
AND ANSWERS
1. A normal distribution has a mean of 100 and a standard deviation of 15. What is the z-score
for a value of 130?
A. 2.00
B. 1.50
C. 1.00
D. 2.50
Answer: A
Conceptual Explanation: The z-score is calculated as (X - mean) / standard deviation.
Here, (130 - 100) / 15 = = 2.00.
2. In a binomial distribution with n = 20 and p = 0.4, what is the expected value (mean)?
A. 6.0
B. 12.0
C. 4.8
,D. 8.0
Answer: D
Conceptual Explanation: The mean of a binomial distribution is E(X) = n * p. So, 20 * 0.4 =
8.0.
3. Which of the following is a necessary condition for a distribution to be considered a
discrete probability distribution?
A. The sum of all probabilities must be 1.
B. Each individual probability must be between -1 and 1.
C. The sum of all probabilities must be 0.
D. The probabilities must follow a bell-shaped curve.
Answer: A
Conceptual Explanation: For any discrete probability distribution, the sum of all
probabilities P(x) must equal 1 and each individual P(x) must be between 0 and 1.
4. Suppose P(A) = 0.3 and P(B) = 0.4. If events A and B are independent, what is P(A and B)?
A. 0.70
B. 0.10
C. 0.12
D. 0.50
, Answer: C
Conceptual Explanation: For independent events, P(A and B) = P(A) * P(B). Thus, 0.3 * 0.4
= 0.12.
5. Find the standard error of the mean for a population with a standard deviation of 20 and a
sample size of 100.
A. 0.2
B. 2.0
C. 5.0
D. 20.0
Answer: B
Conceptual Explanation: Standard Error (SE) = sigma / sqrt(n). So, 20 / sqrt(100) = 20 /
10 = 2.0.
6. What is the z-score such that the area to its left under the standard normal curve is 0.975?
A. 1.645
B. 2.33
C. 1.96
D. 2.58
Answer: C
AND STATISTICS - WEEK 4 QUESTIONS
AND ANSWERS
1. A normal distribution has a mean of 100 and a standard deviation of 15. What is the z-score
for a value of 130?
A. 2.00
B. 1.50
C. 1.00
D. 2.50
Answer: A
Conceptual Explanation: The z-score is calculated as (X - mean) / standard deviation.
Here, (130 - 100) / 15 = = 2.00.
2. In a binomial distribution with n = 20 and p = 0.4, what is the expected value (mean)?
A. 6.0
B. 12.0
C. 4.8
,D. 8.0
Answer: D
Conceptual Explanation: The mean of a binomial distribution is E(X) = n * p. So, 20 * 0.4 =
8.0.
3. Which of the following is a necessary condition for a distribution to be considered a
discrete probability distribution?
A. The sum of all probabilities must be 1.
B. Each individual probability must be between -1 and 1.
C. The sum of all probabilities must be 0.
D. The probabilities must follow a bell-shaped curve.
Answer: A
Conceptual Explanation: For any discrete probability distribution, the sum of all
probabilities P(x) must equal 1 and each individual P(x) must be between 0 and 1.
4. Suppose P(A) = 0.3 and P(B) = 0.4. If events A and B are independent, what is P(A and B)?
A. 0.70
B. 0.10
C. 0.12
D. 0.50
, Answer: C
Conceptual Explanation: For independent events, P(A and B) = P(A) * P(B). Thus, 0.3 * 0.4
= 0.12.
5. Find the standard error of the mean for a population with a standard deviation of 20 and a
sample size of 100.
A. 0.2
B. 2.0
C. 5.0
D. 20.0
Answer: B
Conceptual Explanation: Standard Error (SE) = sigma / sqrt(n). So, 20 / sqrt(100) = 20 /
10 = 2.0.
6. What is the z-score such that the area to its left under the standard normal curve is 0.975?
A. 1.645
B. 2.33
C. 1.96
D. 2.58
Answer: C