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Situation: A populeton f PND emesin stoosin carai n fat two scboos we sected asapes detemine he mee and vatona d he samping dstbudon d sampe mean. Statitis end Probablity Probability faj S. Menn Probebility Compute of Sample Men the 6. the P(X) (X) • P(X). mean sampling distribution of the sample Follow thene steps: means. a. Multiply sample mean by the corresponding probability the Tetal b. Add the results. Note: S. Mean - Sample Mean (6) Ha- ER- PR)) aundin the the sampling distribution variance of of the sample menn. Follow these steps: Sampl Probability fa) e Mean Mean-P. Mean) Subtract population mean from each sample mean. P.Mean P. Mean) the P() (X-) P) • (X – 1p)² b. Square the difference. C. Multiply the results by the corresponding probabity Total Note: S. Mean= Sample Mean, P. Mean - Population Mean Variance: d. Add the results. fd) oj = E[P(R) • CR – p)*j=, So, the variance of the sanpling distribution of sample the means is

Situation: A populeton f PND emesin stoosin carai n fat two scboos we sected asapes detemine he mee and vatona d he samping dstbudon d sampe mean. Statitis end Probablity Probability faj S. Menn Probebility Compute of Sample Men the 6. the P(X) (X) • P(X). mean sampling distribution of the sample Follow thene steps: means. a. Multiply sample mean by the corresponding probability the Tetal b. Add the results. Note: S. Mean - Sample Mean (6) Ha- ER- PR)) aundin the the sampling distribution variance of of the sample menn. Follow these steps: Sampl Probability fa) e Mean Mean-P. Mean) Subtract population mean from each sample mean. P.Mean P. Mean) the P() (X-) P) • (X – 1p)² b. Square the difference. C. Multiply the results by the corresponding probabity Total Note: S. Mean= Sample Mean, P. Mean - Population Mean Variance: d. Add the results. fd) oj = E[P(R) • CR – p)*j=, So, the variance of the sanpling distribution of sample the means is

MATLAB: An Introduction with Applications
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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Situation: A poplation of PMD leamersin schoos in catain municpaky df Quezon Province are ()9,5,6 12 and 15. Suppose hat ho shols wre selece as samples detemne he mean and vatance d be samping dstbudon d sempemean. Stotiaties end Probability S. Mean (S. Mean- Probability (S. Probability faj S. Mean Probability Compute of the the Sample Mean 6. P(X) (X). P(X) mean sampling distribution of the sample Follow thene steps: means. a. Multiply sample mean by the corresponding probabltity. the Total b. Add the results. Note: S. Mean - Sample Mean (6) Ha - E[8 - P(R)) winpute of sampling distribution of the sample menn. Follow these steps: sariance the the Sampl e Mean Probability fa) (b) Mean-P. Mean) -P.Mean P. Mean)a Subtract population mean from each sample mean. the P(X) (X- ) P8) - (X – µ)² b. Square the difference. C. Multiply the results by the corresponding probablity. Total Note: S. Mean = Sample Mean, P. Mean - Population Mean (7 Variance: d. Add the results. (d) oj = E[P(8) • (R – p)*l , So, the variance of the seampling distribution of sample the means is
Transcribed Image Text:Situation: A poplation of PMD leamersin schoos in catain municpaky df Quezon Province are ()9,5,6 12 and 15. Suppose hat ho shols wre selece as samples detemne he mean and vatance d be samping dstbudon d sempemean. Stotiaties end Probability S. Mean (S. Mean- Probability (S. Probability faj S. Mean Probability Compute of the the Sample Mean 6. P(X) (X). P(X) mean sampling distribution of the sample Follow thene steps: means. a. Multiply sample mean by the corresponding probabltity. the Total b. Add the results. Note: S. Mean - Sample Mean (6) Ha - E[8 - P(R)) winpute of sampling distribution of the sample menn. Follow these steps: sariance the the Sampl e Mean Probability fa) (b) Mean-P. Mean) -P.Mean P. Mean)a Subtract population mean from each sample mean. the P(X) (X- ) P8) - (X – µ)² b. Square the difference. C. Multiply the results by the corresponding probablity. Total Note: S. Mean = Sample Mean, P. Mean - Population Mean (7 Variance: d. Add the results. (d) oj = E[P(8) • (R – p)*l , So, the variance of the seampling distribution of sample the means is
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