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.

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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. 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
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
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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