Descriptive Sracsdcs focuses on collecting, organizing, plesentlre, and analvzlng
data
Inlelenclal Slam uses data that have been collected from asnlallergrdup m
irllferEdraw, conclude: somethlng about a larger group
Palameler a nurrlerltal measure that de
Question 1.
Suppose that the amount of time spent on texting messages per day by college
student is normally distributed with the mean of 40 minutes and 30 seconds and
the standard deviation of 10 minutes and 15 seconds.
a. What is the probability that a
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CQMS
702 (Calculus for Business)
Quiz 1
Fall 2016
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Name:
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CQMS 7O2 (Calculus
for Business)
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(Print) First name:
Student number:
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ptiirt your fiame and student numi:er in the space provided ab
CQMS 702
Calculus for Business
Winter 2017 Course Outline
Prerequisite &/or Exclusions: CQMS 202 or QMS 230 or Direct Entry.
COURSE REPEATS:
Ryerson Senate GPA policy prevents students from taking a course more than three times. (i.e., registered initiall
Conduct the global Ftest of model usefulness at [CH935963 Calculatm
Lesson 9 tTest of a single l'vlean
(1:0.05 lEUEl 0f significance STAT sateen] F2[t] Flus then enter the following iaems:
(Note: Only use the EKE leey after a new data entry. Otherwise,
CHAPTER 10:
Confidence interval for the mean (
2
For a 95% confidence interval,
= 0.01
For a 99% confidence interval
Z = Z.005 = 2.58
.
2
We reject
, when
X
n
2
or
t STAT =
H0 : = a
Ha : a
Z
.
We reject
are greater than 5.
Onetailed tests
, when
2
or
.
Population means independent:
WHEN UKNOWN assumed equal
Test statistic
Confidence interval
Related Samples:

Matched/paird samples ie. Before/after results

D = difference
Point of estimate
Sample Standard deviation
Test Statistic
Tstat has n 1
d.f
Con
QMS 102: Business statistic fall 2016 NOTE
Lecture 1 20160912
What is statistics?
To organized an roll or set of raw database for information
Statistics is a way to get information from data
Data , Information
It is a tool to get information result
Stat
NOMINAL No ordering of the items
ORDINAL are categorical data where there is a logical ordering to the
categories. (The simplest ordinal scale is a ranking)
INTERVAL0 is only an arbitrary reference point 0 does not mean
nothing The interval scale of me
Part A
1. In testing for differences between the means of two independent populations,
the alternative hypothesis is:
2. When testing for the difference between 2 population variances with sample
sizes of n1 = 12 and n2 = 9, the number of degrees of freed
CQMS 202
Business Statistics II
Winter 2015 COURSE OUTLINE
Prerequisite &/or Exclusions: CQMS 102 or CQMS 204
COURSE REPEATS:
Ryerson Senate GPA policy prevents students from taking a course more than three times.
(i.e., registered initially, repeated onc
For Questions 1 to 6, refer to the following information
The following data show the lowest roundtrip airfares (per person) departing
Toronto in June 2012, which was advertised at http:/www.GreatFlightCentre.ca
Destination city
Cancun
Orlando
Varadero
Pu
For Questions 1 to 6, refer to the following information
The BoxandWhisker plots show the results of the quiz and test for QMS102 in
Fall2010
Question 1.
Calculate the mode for the quiz result of QMS102 in Fall2010
Question 2.
Describe the distribution
CH. 8 SAMPLING & SAMPLING DISTRIBUTIONS
THEORY OF CONTROL CHARTS
PROCESS Valueadded transformation of inputs to outputs.
CONTROL CHARTS Used to monitor variation in process.
Used to evaluate data collected sequentially over time evaluate present, predict
CH. 8 SAMPLING & SAMPLING DISTRIBUTIONS
WHY SAMPLE?
Less timeconsuming/costly than selecting every item in pop (census).
Analysis of sample = less cumbersome & more practical than an analysis of entire pop.
TYPES OF SAMPLING METHODS
FRAME Data source/lis
11/18/2016
SAMPLING DISTRIBUTION of the
Sample Mean
Chapter 8
SAMPLING DISTRIBUTION of the Sample Mean
Sampling distribution: the probability distribution of a statistic is
called its sampling distribution
Suppose we compute a statistic , for example the
Practice Questions
Question 3.1
A company has invited its entire human resources staff from
each office across the country to attend a conference at the
head office in Toronto.
The following information is available:
a) What is the median return airfare p
Binomial Probability Distribution
Section 6.2
Page 252
Binomial Probability
Reading: Section 6.2, page 252
Calculator: Calculator Lesson 5 on
page 261
Practice Questions: 6.16 to 6.22
1
Lesson Plan
1. How to decide if a probability experiment is a binomia
10/27/2016
Probability
Topics covered today:
1. Basic Probability theory (Chapter 5 )
2. Discrete Probability Distribution
(Chapter 6, section6.1)
Types of Probability Distribution we will
be learning in class
Data
Chapters 1,2,3
Numerical Categorical
(Ra
In Lectures 1 & 2, we
have covered
1. Measurement Scales
2. Stem and Leaf Display
3. Frequency Distribution
Coverage of todays lecture
1. Graphing Frequency Distribution
2. When to use CW=0.25 and 2.5?Go
over the examples
3. Cumulative Distributions and
O
11/9/2016
Quiz 2 covered materials in
Chapter 5
Chapter 6
Chapter 7
Revision
To understand probability distributions, it is important to understand
variables, random variables, and some notation.
A variable is a symbol (A, B, X, etc.) that can take on
Lecture 2
Frequency Distribution
QMS102
Note:
Solutions will be provided in class. If you missed a
class, please ask your friend or your classmate for the
solutions. Solutions will not be posted on Blackboard.
Topics covered:
1. Stem and Leaf (continued)
10/23/2016
Box Whisker Plot
Exploratory data analysis
Graphically
1. What is the fivenumber summary?
2. How to construct a Box Whisker Plot?
3. How to interpret the Box and Whisker
Plot?
Box Whisker Plot
Box Whisker Plot summarizes:
Measures of Central T