When variance is unknown (if the population is finite with mean µ and standard deviation o or the sampling is without When variance is unknown (if the population is finite with mean u and standard deviation o or the sampling is without replacement) Example 1. Random samples with size 4 are drawn from a population having the values 14,19,26,20,44 and 47. Find the mean and the standard error of the sample means. replacement) Example 2. Consider a group of N = 4 people with the following ages: 16,18, 20 and 22. Consider samples of size n = 2 from the group. Find the mean and variance of the sampling distribution. Solution: Solution: A. Solving the population mean: A. Solving the population mean: 14+19+26+ 20+44+47 _ 170 16+18+20+22_ 76 =19 28.33 6 B. Solving for sample mean: x = µ = 28.33 B. Solving for sample mean: * = 4 x = µ = 19 C. To compute for the population standard deviation: (16 – 19)} + (18 – 19)* + (20 – 19) +(22 – 19) _ 20 C. To get the standard error of the sample means, compute first the population standard deviation: 14-28 33) - (19 - 28.33)* + (26 - 28.33)* + (20 - 28. 33) + (44 – 28.33)° + (47 –- 28.33 D. Solving for variance of the sample: o N-n 5 4-2 = =2.5•.67=1.675 N-1 2 4-1 205.35 87.05 5.43 + 69 39 + 245.55 + 348.5 - Te0. 22 - 12 66 of = D. Solving for standard of error of the mean: N-n 12.66 6-4 12.66 = 3.165..6325 =2.00 N-1 АCTIVITY: 1. Ifa population consist of the values (3,5,8,9). Consider possible samples of size 2. Find the mean and variance of the sample mean. 2. A population consists of three numbers (3,4,7). Consider all possible samples of size 2 which can be drawn from the population. Find the mean and variance of the sampling distribution of the sample means. 3. A population consist of five numbers 6, 9, 12, 15, and 18. Find the mean and variance of the sample means when sample size is 3.
When variance is unknown (if the population is finite with mean µ and standard deviation o or the sampling is without When variance is unknown (if the population is finite with mean u and standard deviation o or the sampling is without replacement) Example 1. Random samples with size 4 are drawn from a population having the values 14,19,26,20,44 and 47. Find the mean and the standard error of the sample means. replacement) Example 2. Consider a group of N = 4 people with the following ages: 16,18, 20 and 22. Consider samples of size n = 2 from the group. Find the mean and variance of the sampling distribution. Solution: Solution: A. Solving the population mean: A. Solving the population mean: 14+19+26+ 20+44+47 _ 170 16+18+20+22_ 76 =19 28.33 6 B. Solving for sample mean: x = µ = 28.33 B. Solving for sample mean: * = 4 x = µ = 19 C. To compute for the population standard deviation: (16 – 19)} + (18 – 19)* + (20 – 19) +(22 – 19) _ 20 C. To get the standard error of the sample means, compute first the population standard deviation: 14-28 33) - (19 - 28.33)* + (26 - 28.33)* + (20 - 28. 33) + (44 – 28.33)° + (47 –- 28.33 D. Solving for variance of the sample: o N-n 5 4-2 = =2.5•.67=1.675 N-1 2 4-1 205.35 87.05 5.43 + 69 39 + 245.55 + 348.5 - Te0. 22 - 12 66 of = D. Solving for standard of error of the mean: N-n 12.66 6-4 12.66 = 3.165..6325 =2.00 N-1 АCTIVITY: 1. Ifa population consist of the values (3,5,8,9). Consider possible samples of size 2. Find the mean and variance of the sample mean. 2. A population consists of three numbers (3,4,7). Consider all possible samples of size 2 which can be drawn from the population. Find the mean and variance of the sampling distribution of the sample means. 3. A population consist of five numbers 6, 9, 12, 15, and 18. Find the mean and variance of the sample means when sample size is 3.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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