Statistics Assignment #3
Streisanne Suter
100880402
STAT2606B4
Part A
1.a) 4.99444
b) 7+3/2=5
c) These to values are extremely close to one another.
d) mean= 8.1
sd= 7.953
Yes these values are close t
Business Statistics I
Methods for Describing
Sets of Data
Review
1.
2.
Survey Sampling.
Statistical Process Control
Learning Objectives
1.
2.
3.
4.
Describe Qualitative Data Graphically
Describe Numer
Business Statistics I
Probability
By G. Li
1
#
Review
1. Define Experiment, Outcome, Simple event, Event,
Sample Space,
2. Operations and Properties of Events:
Union, Intersection, Complement,
Mutua
Business Statistics I
Methods for Describing
Sets of Data
Review
1.
2.
3.
4.
Explain Numerical Data Properties
Describe Summary Measures: Shape, Variation,
Know how to construct the range, quartiles,
Business Statistics I
Probability
Review
1.
Compound Event Probability
2.
Conditional Probability
3.
Independence
4.
Multiplicative Rule,
By G. Li
2
9/27/2015
Learning Objectives
1.
The Law of Total P
Business Statistics I
Probability
Riview
Tchebysheffs Theorem
Empirical Rule
Know how to apply these two theorems to
interpret data
Z-score
Box Plot
How to apply box plots to find a outlier
Lear
Business Statistics I
Methods for Describing
Sets of Data
Review
Outlier, Relative Frequency Histogram
Explain Numerical Data Properties
Describe Summary Measures
Central Tendency: Mean, Median, Mode
Business Statistics
The Normal Probability Distribution And Sampling
Distribution
Review
Describe the Normal Random Variables
Calculate Probabilities and Values for Normal Random
Variables
Learning
Business Statistics I
The Normal Probability Distribution
Review
1. Describe the Poisson and Hyper-geometric Distribution
and calculate probabilities for it
2. Compute the Expected Value & Variance of
Business Statistics I
Discrete Random Variables
Review
1.
Random Variable, Discrete Random Variable.
2.
Mean, Standard Deviation
Learning Objectives
1. Describe the Binomial Distribution and calculate
Business Statistics I
Confidence Intervals (II)
Review
State What Is Estimated
Distinguish Point & Interval Estimates
Explain Interval Estimates
Example
Example
Example
Learning Objectives
1.
Compu
Business Statistics I
Discrete Random Variables
Review
1.
The Law of Total Probability
2.
Bayes Rule
Learning Objectives
1.
Random Variable, Discrete Random Variable.
2.
Mean, Standard Deviation.
Rand
Business Statistics I
Discrete Random Variables
Review
1. Describe the Binomial Distribution and calculate
probabilities for it
2. Compute the Expected Value & Variance of Binomial
Random Variables
3.
Business Statistics I
Confidence Intervals (I)
Review
1.
The Sampling Distribution of the Sample
Proportion
2.
Explain Sampling Distribution
3.
Describe the Relationship between Populations &
Sampling
Business Statistics I
Confidence Intervals (III)
Review
1.
Compute Confidence Interval Estimates for
Population Mean & Proportion ( Known)
2.
Find the sample size
3.
Estimating the Difference between
Business Statistics I
Hypothesis Testing
Review
Solve Hypothesis Testing Problems of Mean Based on a
Single Sample
Learning Objectives
1.
P-value
Observed Significance Levels:
p-Values
p-Value
1.
2.
Business Statistics I
Distribution And Sampling Distribution
Review
Central Limit Theorem.
Approximate the Binomial Distribution Using the Normal
Distribution
The Sampling Distribution of the Sampl
STAT 2606 A AND B: PRACTICE EXERCISES FOR WEEK 2
QUESTION 1
The student placement office at a university conducted a survey of last years business school
graduates to determine the general areas in wh
1.
Let X represents mL of a can of soft drink randomly selected
a) X N (355.4, 2.25)
355355.4
P ( X <355 )=P Z <
=P ( Z <0.27 )=0.3936
1.5
b) n=50
X N (355.4, 0.045)
355355.4
P ( X <355 )=P Z <
=P ( Z
ASSIGNMENT 3
Lianyi Wang (100932433)
Question 1
a)
outcome:
.
.
.
Since the mean=0.5, then the expected time arrival of last car will be at 400x0.5=200
mins.
According to col
Carleton University
School of Mathematics and Statistics
STAT 2606 C Business Statistics I FALL 2015
Instructor
Office
Email
Dr. Masoud M. Nasari
5250 Herzberg
[email protected]
Office Hours:
Assignment 1
Part A: Minitab Questions
1a) The population in this case is the 2,107 passengers that flew from Waterloo,
Ontario, to Detroit, Michigan in the year 2010. The experimental unit is
passeng
Chad Baker
100977843
Lab D2
Part A: Minitab Questions
1)
a)
b)
c)
Estimate for
20 Rolls
200 Rolls
20,000 Rolls
P (1)
3
40
3292
P (2)
3
37
3357
P (3)
4
29
3343
P (4)
2
37
3347
P (5)
7
34
3307
P (6)
1
2
STAT 2606 Assignment #1
Sections A and B: Due Monday, September 28, before 3 pm
INSTRUCTIONS:
I.
Assignments are to be uploaded to the course website on CULEARN as a single legible pdf file by the
abo
STAT 2606B
Assignment 1
Lianyi Wang
100932433
1.
a)
- The population is the ages of all the stockbrokers of the investment firm.
- The unit is one stockbrokers age in the investment firm.
b)
- Its qua
STAT 2606 Assignment 3
Last Name
Section ABCD
First Name
Student Number
Total mark: 60.
Section A and B: Due Monday, Nov 6, before 3 pm. Assignments are to be uploaded to
the course website on CULEA
PRACTICE EXERCISES FOR WEEK 6
QUESTION 1
A weather forecaster predicts that the May rainfall in a local area will be between three and six
inches, but has no idea where within the interval that amount
STAT 2606 EXAM REVIEW QUESTIONS
1. Adam takes a random sample of 8 oranges and Eve takes a random sample of 12 apples.
Adam's sample of oranges yields an average weight of 15 ounces with a standard de
STAT 2606 Solutions to Assignment #5 Fall 2017
Out of 75
1(a)
Since the interval includes zero, there does not appear to be a difference in the proportions of Fall
2016 and Fall 2015 students whose fi