A population consists 11, 19, 22, 2, 8, 9, and 15. Suppose samples of 2 are drawn from this population. This situation is an example of the sampling distribution of the sample mean for 6. normal population with population variance is a A. unknown C. large D. small B. known Suppose that the rice mill wants to test its product to find qut 7.
A population consists 11, 19, 22, 2, 8, 9, and 15. Suppose samples of 2 are drawn from this population. This situation is an example of the sampling distribution of the sample mean for 6. normal population with population variance is a A. unknown C. large D. small B. known Suppose that the rice mill wants to test its product to find qut 7.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Answer numbers 6-10
Transcribed Image Text:A population consists 11, 19, 22, 2, 8, 9, and 15. Suppose
samples of 2 are drawn from this population. This situation
is an example of the sampling distribution of the sample mean
for
6.
a
normal population
with population variance is
A. unknown
B. known
C. large
D. small
7.
Suppose that the rice mill wants to test its product to find out
whether it meets the average weight of rice of 50 kilograms with
a standard deviation of 0.18 kg. Thirty sacks of rice are weighed
and found to have an average weight of 50.8 kg and a standard
deviation of 0.15kg. The rice mill owner is in a situation of the
sampling distribution of the sample mean with population
variance is
A. unknown
C. large
B. known
D. small
8.
The average family income in the Philippines in 2019 was
P22,250 with a standard deviation of P1,250. In a certain
municipality, a sample of 50 families had an average income of
P25,000. This situation is about the sampling distribution of
the sample mean where the population
A. Variance is known
B. Variance is unknown
C. Standard deviation is small
D. Standard deviation is large
This is used to determine the probability of an event by
transforming the mean of the sample to a variable of this
distribution where the population variance is unknown, and
the sample size is less than 30.
A. Z-Distribution
B. t-Distribution
9.
C. Chi-Square Distribution
D. Pearson Correlation Coefficient
10. Given µ= 15, o = 5, and n = 50. This is an example of the
sampling distribution of the sample mean
population when the population variance is
for a
normal
C. large
D. small
11. Which of the following formulas is uced
A. unknown
B. known
to
neleulete
the
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