Unit 5 Study of Attribute Data
Unit 5 Study of Attribute Data
Sample Proportions
Distribution of a Sample Proportion
Now suppose that rather than being interested in the count X of successes,
we are i
Unit 4 Probability and Discrete Distributions
Variability and Randomness
Statistics involves the study of variability. But how can we work with
something that involves so much uncertainty?
To understa
Sample Final Exam 1 Part A
1. A statistician conducted a test of H0 : = 20 vs. Ha : < 20 for the mean of some
normally distributed population. Based on the gathered data, the statistician concluded
th
Situation
Examining a single
population mean
Examining a single
population mean
Examining the
mean difference for
two variables
Conditions/Assumptions
Comparing two
population means
Comparing two
popu
Situation
Examining a single
population mean
Examining a single
population mean
Examining the
mean difference for
two variables
Conditions/Assumptions
Comparing two
population means
Comparing two
popu
Unit 5 Practice Questions Solutions
0.23 0.20
0.25 0.20
r
r
<
Z
<
1. (a) P (0.23 < p < 0.25) = P
0.20(0.80)
0.20(0.80)
100
100
= P (0.75 < Z < 1.25) = P (Z < 1.25) P (Z < 0.75) = 0.8944 0.7734 =
Unit 1 Practice Questions Solutions
z
m
2
1. (a) n =
z
m
2
(b) n =
2.054(6.7)
4
2
=
2.054(6.7)
1
2
=
= 11.84 12
= 189.39 190
(c) If we decrease the margin of error by a factor of k, we require k 2 t
Unit 5 Study of Attribute Data
Unit 5 Study of Attribute Data
Sample Proportions
Distribution of a Sample Proportion
Now suppose that rather than being interested in the count X of successes,
we are i
Unit 6 Practice Questions
1. We would like to determine how a persons cholesterol level can be predicted by his or
her fat consumption. The average daily fat consumption (in grams) and the cholesterol
Unit 6 Practice Questions Solutions
1. (a) The slope of the least squares regression line is
P
b1 =
(xi x)(yi y)
303.67
P
= 12.96
=
2
(xi x)
23.44
The intercept of the least squares regression line is
2018/01/08
The meaning of quality:
Definition: Quality means fitness for use

Traditional definition
Definition 2: Quality is conformance to requirements

Who sets the requirements?
o Producers?
Con
STAT 3170 Midterm Test 1 February 14, 2014
INSTRUCTIONS:
This test consists of five pages.
The table of constants is located on the last page.
Please answer all questions in the booklets provided.
University of Manitoba
Department of Statistics
STAT 3170
Statistical Quality Control
Term Test #1
Instructor: Carrie Paquette
Date: Wednesday, October 14, 2015
Time: 10:30 to 11:20 am
Instructions:

STAT 3170
February 15, 2017
STAT 3170 Answers for Term Test 1
1. (A) The magnificent seven tools for quality improvement:
Histogram
Pareto Chart
Check Sheet
Defect Concentration Diagram
Control C
Probability Examples from Notes
1. If we randomly selected 10 cards from a standard deck with replacement what is the
probability that four of them will be Hearts?
2. If we randomly selected 10 cards
SPC Department of Statistics
Workshop University of Manitoba
" Constructing a Pareto Diagram
1. Collect and record data.
2. Determine meaningful categories for describing
the collected data.
3. Count
University of Manitoba
Department of Statistics
STAT 3170
Statistical Quality Control
Term Test #1
Instructor: Carrie Paquette
Date: Wednesday, February 15, 2017
Time: 10:30 to 11:20 am
Instructions:
STAT 3170 Practice Problem Set 1
1. What are the three major areas that we used statistical methods for quality control and
improvement?
2. A random sample of 4 baseball bats is selected from a lot of
STAT 3380 Section A01
An Introduction to Nonparametric Analysis
Winter 2018
Time
Location
CRN
Instructor
Web Pages
Office Hours:
MWF 12:30 p.m. 1:20 p.m.
306 Buller
52555
Dr. Zeny Mateo
319 Machray Ha
4.12. Mographical errors. Shown below are the number of galleys for a manuscript (X) and
the total dollar cost of correcting typographical errors (Y) in a random sample of recent orders
handled by a r
Stat 3470 Section A01
Fall Term 2017
Assignment 5
Due: Tuesday November 28, 2012, before the lecture.
Instructions
Absolutely NO late assignments will be accepted.
Run the following SAS program and su
Stat 3470 Section A01
Fall Term 2017
Assignment 5
Due: Tuesday November 28, 2012, before the lecture.
Instructions
Absolutely NO late assignments will be accepted.
Run the following SAS program and su
Stat 3470 Section A01
Fall Term 2017
Assignment 4
Due: Thursday November 14, 2017, before the lecture.
Absolutely NO late assignments will be accepted.
Follow all four steps for hypothesis testing.
Al
Stat 3470 Section A01
Fall Term 2017
Assignment 4
Due: Tuesday November 14, 2017, before the lecture.
Absolutely NO late assignments will be accepted.
Follow all four steps for hypothesis testing.
All
Linear Regression
TI30XS MultiView Tutorials
Problem
x
1,800
2,400
2,000
y
2,860
3,245
2,365
Calculate the linear regression parameters a and b for the linear equation y = a + bx .
Calculator Steps
C
Formulas for the Final Exam
STAT 3470 Fall Term 2017
SLR Model: Yi = 0 + 1 Xi + i , i = 1, 2, . . . , n.
3.
P
2 , SSY Y = P(Yi Y )2 , SSXY = P(Xi X)(Y
i Y ).
SSXX = (Xi X)
P
P
P
SSE = (Yi Yi )2 , SS
Formulas for the Midterm Test
STAT 3470 Fall Term 2016
SLR Model: Yi = 0 + 1 Xi + i , i = 1, 2, . . . , n.
3.
P
2 , SSY Y = P(Yi Y )2 , SSXY = P(Xi X)(Y
i Y ).
SSXX = (Xi X)
P
P
P
SSE = (Yi Yi )2 ,
Stat 3470 Section A01
Fall Term 2017
Assignment 3
Due: Thursday October 26, 2017, before the lecture.
Instructions
Absolutely NO late assignments will be accepted.
Show complete work and round your fi