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We want to estimate the population variance (02) of a dataset by taking a random sample and calculating the sample variance (s2). The sample variance can be calculated using the following formula: 52 – Σ=1 (xi-x)2 = n-1 where: s² is the sample variance. • x_i is the value of the i-th data point. . n is the sample size x is the sample mean. Write a MATLAB script that: 1. Prompts the user to enter the desired sample size (n). 2. Generates n random numbers between 1 and 100 and stores them in a vector named data. 3. Calculates the sample mean (X) of the data. 4. Calculates the sample variance (s2) using the formula above and stores it in a variable named sample_variance. 5. Rounds the sample_variance to 2 decimal places. 6. Prints the sample size, the sample mean (rounded to 2 decimals), and the rounded sample variance with appropriate messages.

We want to estimate the population variance (02) of a dataset by taking a random sample and calculating the sample variance (s2). The sample variance can be calculated using the following formula: 52 – Σ=1 (xi-x)2 = n-1 where: s² is the sample variance. • x_i is the value of the i-th data point. . n is the sample size x is the sample mean. Write a MATLAB script that: 1. Prompts the user to enter the desired sample size (n). 2. Generates n random numbers between 1 and 100 and stores them in a vector named data. 3. Calculates the sample mean (X) of the data. 4. Calculates the sample variance (s2) using the formula above and stores it in a variable named sample_variance. 5. Rounds the sample_variance to 2 decimal places. 6. Prints the sample size, the sample mean (rounded to 2 decimals), and the rounded sample variance with appropriate messages.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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We want to estimate the population variance (02) of a dataset by taking a random sample and calculating the sample variance (s2). The sample variance can be calculated using the following formula: 52 – Σ=1 (xi-x)2 = n-1 where: s² is the sample variance. • x_i is the value of the i-th data point. . n is the sample size x is the sample mean. Write a MATLAB script that: 1. Prompts the user to enter the desired sample size (n). 2. Generates n random numbers between 1 and 100 and stores them in a vector named data. 3. Calculates the sample mean (X) of the data. 4. Calculates the sample variance (s2) using the formula above and stores it in a variable named sample_variance. 5. Rounds the sample_variance to 2 decimal places. 6. Prints the sample size, the sample mean (rounded to 2 decimals), and the rounded sample variance with appropriate messages.
Transcribed Image Text:We want to estimate the population variance (02) of a dataset by taking a random sample and calculating the sample variance (s2). The sample variance can be calculated using the following formula: 52 – Σ=1 (xi-x)2 = n-1 where: s² is the sample variance. • x_i is the value of the i-th data point. . n is the sample size x is the sample mean. Write a MATLAB script that: 1. Prompts the user to enter the desired sample size (n). 2. Generates n random numbers between 1 and 100 and stores them in a vector named data. 3. Calculates the sample mean (X) of the data. 4. Calculates the sample variance (s2) using the formula above and stores it in a variable named sample_variance. 5. Rounds the sample_variance to 2 decimal places. 6. Prints the sample size, the sample mean (rounded to 2 decimals), and the rounded sample variance with appropriate messages.
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