Ch. 14 - Introducing Probability
Defn: An experiment is a process that, when performed, results in one and only one of
many observations.
These observations are called the outcomes of the experiment.
15 Sampling Distribution Models
Definition:
1) Population parameter is a numerical measure such as the
mean, median, mode, range, variance, or standard deviation
calculated for a population data; and
Statistics 141 Course Outline for Fall 2013
University of Alberta
Department of Mathematical & Statistical Sciences
Statistics 141 INTRODUCTION TO STATISTICS Lecture B1
Spring 2013 (Term: 1450 Class N
Note:
1. This quiz is about topics covered in chapter 6 (normal distribution)
chapters 14 to 16 and chapter 18.
2. The solution is given at the end of the file.
3. Please do not email me if you would
Note:
1. This quiz is about topics covered in chapters 14 to 16.
2. The solution is given at the end of the file.
3. Please do not email me if you would like to discuss about the solution.
Come to my
Multiple Partial F Test
Want to test whether the addition of the k variables X1*, X2*, Xk* significantly
improves the prediction of Y, given that variables X1, X2, X3 , Xp are already in
the model.
H0
Note:
1. This quiz is about topics covered in chapter 1 and chapters 11 to 13.
2. The solution is given at the end of the file.
3. Please do not email me if you would like to discuss about the solutio
Note:
1. This quiz is about topics covered in chapters 24 and 25.
2. The solution is given at the end of the file.
3. Please do not email me if you would like to discuss about the solution.
Come to my
Chapter 1
Defn: Statistics:
1) are commonly known as numerical facts
2) is a field of discipline or study
Here, statistics is about variation.
3 main aspects of statistics:
1) Design (Think): Planning
Chapter 23: Statistical Inference Confidence Interval and
Testing Hypothesis for One Population Mean
In this chapter, we will talk about:
Estimation of a population mean,
Confidence interval for a pop
Note:
1. This quiz is about topics covered in chapter 6 (normal distribution) and
chapter 18.
2. The solution is given at the end of the file.
3. Please do not email me if you would like to discuss ab
Chapter 26: Chi Square Tests
In this chapter, we will talk about:
A goodness of fit test,
Chi-square test of independence in a contingency table.
Chi-square test of homogeneity in a contingency table.
Note:
1. This quiz is about topics covered in chapter 26.
2. The solution is given at the end of the file.
3. Please do not email me if you would like to discuss about the solution.
Come to my office
Note:
1. This quiz is about topics covered in chapter 22.
2. The solution is given at the end of the file.
3. Please do not email me if you would like to discuss about the solution.
Come to my office
Note:
1. This quiz is about topics covered in chapters 19 - 21.
2. The solution is given at the end of the file.
3. Please do not email me if you would like to discuss about the solution.
Come to my o
Note:
1. This quiz is about topics covered in chapter 28.
2. The solution is given at the end of the file.
3. Please do not email me if you would like to discuss about the solution.
Come to my office
Note:
1. This quiz is about topics covered in chapter 23.
2. The solution is given at the end of the file.
3. Please do not email me if you would like to discuss about the solution.
Come to my office
738 APPENDIXZ I Statistical Tables
F curve
Area
1
Value
Table 7 - Values That Capture Specied Upper-Tail F Curve Areas
df1
dfz Area 1 2 3 4 S 6 7 8 9 10
14039.86 49.50 53.59 55.83 57.24 58.20 58
A-58
APPENDIX D
Tables and Selected Formulas
Table Z
Areas under the
standard Normal curve
Second decimal place in z
0.09
0.08
0.07
0.06
0.05
0.04
0.03
0.02
0.01
0.00
z
23.9
23.8
23.7
23.6
23.5
0.0001
Stat 141 MidtermReview Fa112013
1) Suppose in a statistic class, there are 100 students that had the following frequency
distribution of blood type
BloodType I A B 1 AB 0
l Frequency
25 30 L 35
Stat 141 Formula Sheet
Central Limit Theorem: For large n (n > 30) ,
the sampling distribution of Y is approximately
normal.
Numerical Sum maries :
Sample Mean : y =
yi
n
( yi y ) 2
n 1
2
Sample Va
Stat 141 Formula Sheet
Central Limit Theorem: For large n (n > 30) ,
the sampling distribution of Y is approximately
normal.
Numerical Summaries :
i Sample Mean : y =
yi
n
( yi y ) 2
n 1
2
i Sample
Page 3 of 7
Ten years ago (at your company), the average number of consecutive summer vacation days taken was 12.5 days. You now
take a random sample of 9 people and determine a sample average of 10.1
Stat 141 Fall 2013 Section B1
Some questions for Final Review
1) Here are boxplots of the points scored during the first 10 games of the basketball season for both
Caroline and Alexandra. The coach ca
Youth and Adolescence [1995]: 315334) conducted a telephone
survey of parents with preteen and teenage children. One of the
questions asked was How effective do you think you are in talking
to your c