1. The population consists of the ages of 5 children, as follows: 3, 7, 11, 15, and 19. Construct a sampling distribution of the sample mean, sample variances and sample standard deviations using a random variable size n=2. Prepare a probability distribution of the sample mean, sample variances and sample standard deviations.
1. The population consists of the ages of 5 children, as follows: 3, 7, 11, 15, and 19. Construct a sampling distribution of the sample mean, sample variances and sample standard deviations using a random variable size n=2. Prepare a probability distribution of the sample mean, sample variances and sample standard deviations.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:1. The population consists of the ages of 5 children, as follows: 3, 7, 11, 15, and 19. Construct a sampling
distribution of the sample mean, sample variances and sample standard deviations using a random variable size
n=2 Prepare a probability distribution of the sample mean, sample variances and sample standard deviations.
Sample Values
Sample Number
1
Sample Variance
(S²)
Sample Standard
Deviation (s)
Probability
(Pr)
2345
6
7
8
9
10

Transcribed Image Text:1.
Solve the following problems.
Too determine the relationship between years of education and salary potential, 10 persons who have been
employed for 5 years were interviewed. The results obtained on their number of years of higher education
(college degree or higher) and their monthly salaries, are shown in the following table
Salary in P1,000
Years of Higher
Employee
xy
y²
(x)
Education (y)
A
18.5
4
B
20,8
5
с
31.2
5
48.3
8
13.7
2
35.4
6
58.9
19.2
47.3
14.2
Ex² =
Σy² =
Exy=
Ex=
Σy=
n=
a. Determine the Pearson's product moment coefficient correlation between the two variables.
b. Interpret the degree of relationship between the two variables.
CDEFG
H
1
6
3
6
1
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