{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

# Lab 10 - CE93-Engineering Data Analysis Prof Joan Walker...

This preview shows pages 1–2. Sign up to view the full content.

CE93-Engineering Data Analysis Prof. Joan Walker, Spring 2011 Lab 10 Distribution of Sampling Statistics Part 1 In the first part of this lab, we will be looking at a dataset consisting of 3000 observations of flight time. We will consider this to be our complete population 1. Go to bSpace: Resources -> Labs ->Lab10 and download data file ‘flight_time.csv’ to your current directory. 2. Import the data file and set the second column of the data as a vector called ‘flt_time’. 3. Find the mean and variance of flt_time. 4. Suppose you draw a sample of size n=5 from this population, based on your knowledge of sampling statistics, determine a. The expected value of the sample mean. b. The variance of the sample mean. c. The expected value of the sample variance. 5. Randomly draw 100 samples, each with sample size n = 5, from the population. You may refer to code below: %%%%%% n=5 B=[]; for i=1:100 B(i,:)=flt_time(ceil(rand(1,n)*length(Flight_time))); end %%%%%% 6. Compute the sample mean and sample variance of each sample. Find the mean and variance of the 100 sample means and the average of the 100 sample variances. Compare

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 2

Lab 10 - CE93-Engineering Data Analysis Prof Joan Walker...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online