SAS Tutorial for STAT 350 for Lab 2
Author: Leonore Findsen, Cheng Li
1. Numerical Summaries
Example 1. Time to Start a Business (Data: eg01-23time24.txt)
An entrepreneur faces many bureaucratic and legal hurdles when starting a new
business. The World Ba

STAT 350 (Fall 2015)
Lab 2
1
Lab 2 (40 points) - Describing Distributions with Graphs and
Numbers
Objectives: Numerical Summaries, Histograms and Boxplots
Remember to use the cleaned data set that you generated in Lab 1.
A (20 pts) Actual Elapsed time (Da

STAT 350 (Fall 2015)
Lab 3
Lab 3 (80 pts.) - Assessing the Normality of Data
Objectives: Creating and Interpreting Normal Quantile Plots (QQ
plots)
Please submit the data for parts A, B and C ONLY (clearly labeled) at the end of the lab
report in an Appen

SAS Tutorial for STAT 350 Lab 3
Author: Leonore Findsen, Cheng Li
1) Generate random samples using a normal distributions
We are going to generate random samples from a number of different distributions in this
laboratory. The following code is for the no

STAT 350 (Fall 2015)
Lab 2
1
Lab 2 (40 points) - Describing Distributions with Graphs and
Numbers
Objectives: Numerical Summaries, Histograms and Boxplots
Remember to use the cleaned data set that you generated in Lab 1.
A (20 pts) Actual Elapsed time (Da

STAT 350 (Fall 2015)
Lab 4
1
Lab 4 (100 pts. + 25 pts. BONUS) Central Limit Theorem
Objectives: A better understanding of the Central Limit Theorem
This is a group lab so only one report should be submitted per group. There should be 3 4
people in each gr

R Tutorial for STAT 350 Lab 4
Author: Leonore Findsen; Jeremy Troisi
1) Generate sampling distributions
The usefulness of the Central Limit Theorem (CLT) is through the averaging of random samples
to simulate what is happening when many samples are taken

SAS Tutorial for STAT 350 Lab 4
Author: Leonore Findsen
1) Generate sampling distributions
The usefulness of the Central Limit Theorem (CLT) is through the averaging of random samples
to simulate what is happening when many samples are taken from the same

Name:
Friday T.A. name/Class time:
Lab 5: Normal Distribution and Sampling Distribution
1.
Assume the population values of the variable Hours of True Sleep on a Normal night
for students, call this variable X, are Normally distributed with mean 7 and stan