16. What is the area greater than z = 1.1? A. 0.5000 B. 0.8413 C. 0.8643 D. 0.9999
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
NOTE: no need for explanation, just answer each number with correct letter.

Transcribed Image Text:16. What is the area greater than z = 1.1?
A. 0.5000
B. 0.8413
C. 0.8643
D. 0.9999
17. What is the area under the normal curve between the z-scores -1.93 and 1.53
A. 0.9102
B. 0.9190
C. 0.9369
D. 0.9639
18. What is the 95 percentile of the normal curve?
A. z = 1.60
B. z = 1.64
C. z = 1.645
D. z = 1.65
19. Which of the following refers to the entire group that is under study or investigation?
A. Population
B. Random sampling
C. Sample
D. Sample Size
20. Which type of random sampling that can be done by listing all the elements in the population and selecting
every kth element in the population list?
A. Cluster Sampling
B. Simple Random Sampling
C. Stratified Sampling
D. Systematic Sampling
21. What do you call a number that describes a population characteristic?
A. Data
B. Parameter
C. Sample
D. Statistic
22. In a study concerning the economic status of employees in a certain company, a researcher randomly
selected 45 employees. What do you call the descriptive measures computed from the 45 employees?
A. Confidence
B. Parameter
C. Statistic
D. Variable
23. What do you call a frequency distribution using the means computed from all possible random samples of a
specific size taken from a population?
C. Probability Distribution
D. Sampling Distribution of Sample Means
A. Point Estimation
B. Population Distribution
24. Given a set of data of a population (11, 12, 13, 14). How many different samples of size n = 2 can be drawn
without replacement from the population?
A. 4
В.5
C. 6
D. 7
For numbers 25 and 26, refer to the given situation.
A population has a mean of 65 and a variance of 2. A random sample of 16 measurements is drawn
from this population. Assume that the population is infinite.
25. What is the mean of the sampling distribution of the sample mean?
B. 16
A. 12
C. 60
D. 65
26. What is the variance of the sampling distribution of the sample mean?
A. 0.0125
B. 0.125
C. 1.25
D. 12.5
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