Chapter6SamplingDistributions( )
The Sampling Distribution of the
Sample Mean
The Sampling Distribution of the
Sample Proportion
1
SampleMean
Example: The law firm of Hoya and Associates has five partners.
At their weekly partners meeting each reported th
Chapter5ContinuousRandom
Variables( )
Continuous Probability
Distributions( )
Distributions(
The Uniform Distribution( )
The Normal Distribution( )
1
Section5.1ContinuousProbability
Distributions
Recall: A continuous random variable may assume any
numeric
Statistics for Business - Assignment 7 - Suggested Solutions
Question 1
Question 2.
Question 3
Solution:
a. d1 =-126, d 2 =-25, d 3 =101, d 4 =126, d 5 =126, d 6 =250, d 7 =151
: d 0
: d >0
sd =123.7
d =86.14
d d 86.14 0
t 71 = sd = 123.7 =1.842
7
n
Criti
Statistics for Business - Assignment 7
1.
A coffee manufacture is interested in whether the mean daily consumption of
regular coffee drinker is less than that of decaffeinated-coffee drinkers. A random
sample of 50 regular-coffee drinkers showed a mean of
Statistics for Business - Assignment 6
1. For each of the following changes, indicate whether a confidence interval for will
have a larger or smaller margin of error:
a. An increase in the level of confidence.
b .An increase in the sample size.
c. A decre
Statistics for Business - Assignment 5
DueFriday 20th April 2012
1. Suppose that we will take a random sample of size n from a population having mean
and standard deviation . For each of the following situations, find the mean,
variance, and standard dev
Statistics for Business - Assignment 4
Deadline: Hand in before or after midterm
- Thursday 5th April 2012 (Class 4)
- Friday 6th April 2012 (Class 3)
1. Classify each of the following random variables as discrete or continuous:
a. x=the number of girls b
Statistics for Business - Assignment 3
Deadline: Friday 23rd March 2012
1. Assume that the waiting time x for an elevator is uniformly distributed
between zero and six minutes.
a. Write the formula for the probability curve of x .
b. Graph the probability
Statistics for Business - Assignment 2
Deadline: Friday 16th March 2012
Chapter 3
1. Let A, B, C, D, and E be sample space outcomes forming a sample space.
Suppose that P(A)=0.2, P(B)=0.15, P(C)=0.3, and P(D)=0.2. What is P(E)?
Explain how you got your an
1.3 a.
Quantitative; dollar amounts correspond to values on the real
number line.
b.
Quantitative; net profit is a dollar amount.
c.
Qualitative; which stock exchange is a category.
d.
Quantitative; national debt is a dollar amount.
e.
Qualitative; media
Statistics for Business - Assignment 1
Deadline: Thursday 8th March 2012
Chapter 1
1. Below we list several variables. Which of these variables are quantitative and which are qualitative?
Explain.
a. The dollar amount on an accounts receivable invoice.
b.
Statistics for Business Tutorial 8
Recall:
1. Population is normally distributed (mean=, s.d.= )
sample mean is normally distributed
(mean=, s.d.= /n)
2. A normally distributed population/sample follows the
Empirical Rule:
68.26% in [, + ],
95.44% in [2
Statistics for Business Tutorial 7
Random Sampling:
For a population of size N, we could do certain
number (k) of random sampling.
Each sample is of size n (n<N) (fixed)
Then we could have certain number (k) of sample
x
means of these samples
Then b
Statistics for Business Revision 1
Variables:
Quantitative/Numerical (interval vs. ratio)
Qualitative/Non-numerical (ordinal vs.
nominal)
Sampling:
Systematic
Stratified
Clustered
Statistics for Business Revision 1
Distribution
Data, frequency, re
Statistics for Business Tutorial 4
Probability: chance of an outcome E to occur.
[0,1]
Outcome: a particular result
When an outcome never occur, P(E)=0
When an outcome always occur for certain, P(E)=1
If theres i kinds of outcome, then
P( E ) = 1
i
Statistics for Business Tutorial 3
Empirical Rule vs. Chebyshevs Theorem
Population
Empirical Rule
Normal
Mound-shaped,
not very skewed
Chebyshev
[-, +]
About 68%
[-2, +2]
About 95%
At least 75%
[-3, +3]
About 99.7%
At least 88.89%
Any population but
not
Statistics for Business Tutorial 2
Describing your data/results
Increase/decrease
Stable/fluctuate
Continuous/discrete
Pattern/chaotic
Distribution
Spread
Meaningful? Understandable?
Statistics for Business Tutorial 2
Frequency: number of items i
Statistics for Business Tutorial 1
Statistics:
Collect
Organis
e
Describ
e
Analyse
Present
Numerical
DATA
Variables:
Quantitative
Qualitative
Statistics for Business Tutorial 1
Variables:
From data source (collected by someone
else)
Collect you
Chapter 8 Hypothesis Testing
( )
The Null and Alternative Hypotheses
The
and Errors in Hypothesis Testing.
z Tests about a Population Mean
( known):
t Tests about a Population Mean
( unknown)
unknown)
Chapter 8 Hypothesis Testing
( )
z Tests about a Popu
Chapter 7 Confidence Intervals(
)
z-Based Confidence Intervals for a
-Based
Population Mean: Known
t-Based Confidence Intervals for a
-Based
Population Mean: Unknown
Population
Sample Size Determination(
Sample
)
Confidence Intervals for a
Populatio
Chapter6SamplingDistributions( )
The Sampling Distribution of the
Sample Mean
The Sampling Distribution of the
Sample Proportion
1
SampleMean
Example: The law firm of Hoya and Associates has five partners.
At their weekly partners meeting each reported th
Chapter5ContinuousRandom
Variables( )
Continuous Probability
Distributions( )
Distributions(
The Uniform Distribution( )
The Normal Distribution( )
1
Section5.1ContinuousProbability
Distributions
Recall: A continuous random variable may assume any
numeric
Chapter4DiscreteRandomVariables(
)
Two Types of Random Variables
Two
Discrete Probability Distributions
Discrete
The Binomial Distribution
The
The Poisson Distribution
The
1
Random Variables ( )
A random variable is a variable that assumes numerical
Chapter3Probability
The Concept of Probability ( )
Sample Spaces ( ) and Events ( )
Some Elementary Probability Rules
Conditional Probability ( ) and
Independence ( )
Chapter3Probability
1
Section3.1TheConceptof
Probability
An experiment ( ) is any pr
Chapter 2
Descriptive Statistics
Describing the Shape of a Distribution
Describing Central Tendency
Measures of Variation
Percentiles, Quartiles, and Box-andWhiskers Displays
Describing Qualitative Data
Weighted Means and Grouped Data
Section 2.1 Describi
Statistics for Business (3) & (4)
Instructor:Dr.PengXiaoling
T.A.:MissHuJia,Garbo
Office:E409
Tel:3620623(office),3620630(T.A.)
Email:xlpeng@uic.edu.hk(Instructor)
garbohu@uic.edu.hk(T.A.)
ISpace: C o u rs e na m e :S ta tis tic s fo rBu s in e s s (3 &4
Principles of Accounting 1
Solutions to Chapter 5 (Part)
Exercise 5-3 (10 minutes)
1.
2.
3.
4.
5.
C
J
A
B
F
6.
7.
8.
9.
10.
E
D
G
H
I
Exercise 5-4 (30 minutes)
May 5
Accounts Receivable .
Sales .
7,920
7,920
Sold merchandise on credit (720 x $11).
5
Cost
Teaching Plan 2011-2012 -
Semester 2
Subject Title
Principles of Accounting I (ACCT 2010)
Subject Convener
Ms. Michele Kwok
Subject Instructors
Ms. Michele Kwok, Mr. Chung-fat Au-Yeung, Mr. Neil James
Douglas
Week
Date
Topic
Chapter
1
06-Feb-12 Accounting
POA I Final
Examination (60%)
Examination
1. There are 5 questions on the paper and each may
1. There
carry varying marks.
2. No MC questions.
2. No
3. All the questions must be attempted.
3.
4. Pls see attached the cover page for the final exam
Pls
paper