Title | Quiz Chapter: 5 & 6 |
---|---|
Course | Probability and Statistics |
Institution | International Islamic University Malaysia |
Pages | 2 |
File Size | 133 KB |
File Type | |
Total Downloads | 109 |
Total Views | 178 |
Questions and Answers for Chapter 5 & 6
Chapter 5: DISCRETE PROBABILITY DISTRIBUTIONS
Chapter 6: THE NORMAL DISTRIBUTION...
Replacement Online Quiz 2 CSCI 1304 PROBABILITY & STATISTICS Thursday, 31 December 2020 Chapters covered: 5 & 6 Time:1.00 PM to 2.00 PM [10 marks]
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) Continuous random variables are obtained from data that can be measured rather than counted. A) False
1)
2) Determine whether the random variable described is discrete or continuous. The number of minutes you must wait in line at the grocery store A) discrete
2)
3) The sum of the probabilities of all the events in the sample space of a probability distribution must equal 1. A) False
3)
4) Compute the mean of the random variable with the given discrete probability distribution.
4)
x P(x) -5 0.2 0 0.05 15 0.05 25 0.7
B) 8.75
C) 12.5
D) 156.2
5) What is the standard deviation of the following probability distribution? X P(X) A) 4.7
0 2 4 6 8 0.20 0.05 0.35 0.25 0.15 B) 3.9
5)
D) 5.4
6) Compute the probability of X successes. n = 5, X = 4, p = 0.7 A) 0.7 B) 0.640
6) C) 0.800
1
7) Determine the indicated probability for a binomial experiment with the given number of trials n and the given success probability p. n = 11, p = 0.7, P(9) A) 0.7000 B) 0.0005 D) 0.0404
7)
8) Identify the type of distribution pattern that occurs when the majority of the data values fall to the left of the mean? A) symmetrical C) left skewed D) negatively skewed
8)
9) Which choice is another term that can be used to describe a normal distribution: A) discrete distribution C) negatively or positively skewed D) independent variable
9)
10) What is the area under the standard normal distribution curve between z = 1.50 and z = 2.50?
A) 0.0802
B) 0.0764
C) 1.00
2
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