1. Given the following set of cash flows:
Period
Cash Flow
1
$30,000
2
$25,000
3
$20,000
4
$15,000
5
$10,000
a. If the required rate of return is 8% per year, what is the present value of the above cash
flows? Future value?
b. Now, suppose that you are of
Week 1 Homework Brandie Dupuis
Chapter 1
2) A. The number of papers sold each Sunday during 2011. RATIO
B. The departments, such as editorial, advertising, sports, etc. NOMINAL
C. A summary of the number of papers sold by county. RATIO
D. The number of ye
Chap 11
3, 4, 5, 6, 8 , 11, 12, 13, 14, 15, 16, 19, 25, 28, 32, 33, additional problem 1, 2
In the previous chapter we tested a single sample against a known population parameter basically to see if our sample
could be a member of that population. . In th
Stats Homework 2014
True / False Questions
1. A population is a subset of measurements taken from a large group.
FALSE
2. Those elements that are not in Set A are called the complement of A.
TRUE
3. The probability of event A is defined as the number of w
Chapter 7
Statistics
True/False
1. The Empirical Rule of probability can be applied to the uniform probability distribution.
Answer: False
Difficulty: Medium
Goal: 1
2. Areas within a continuous probability distribution represent probabilities.
Answer: Tr
AP Statistics Test Chapter 5 ANSWERS
1. Suppose there are 500 students in your school.
a) What are the two requirements for a Simple Random Sample (SRS)
1. Each individual must have an equal chance of being chosen
2. Each group of n individuals must have
Chapter 9
Estimation and Confidence
Intervals
Solved Problems
Problem 9-1
CI x z
n
10
55 2.58
49
51.314 58.686
Problem 9-2
CI x z
n
5
40 1.96
81
38.911 41.089
Problem 9-3
a.
b.
c.
x
5
1.581
n
10
The population is normally distributed
and the popu
Chapter 4
Describing Data :
Displaying and Exploring Data
Solved Problems
Problem 4-5
a. 621 to 629
b. 5
c. 621,623,623,627,629
Problem 4-10
Stem
Leaves
3
6
4
7
5
22499
6
0113458
7
035678
8
0344447
9
055
The daily usage ranged from 36 to 95. In a typic
Chapter 5
Survey of Probability Concepts
SOLVED PROBLEMS
Problem 5-1
Outcome 1 2
1
A A
2
A F
3
F A
4
F F
Problem 5-3, 4
3.
Accounting 10
Finance
5
Economics
3
Management 6
Marketing
10
Total
34
a. P(Mgt) =
6
.176
34
b. Empirical
4.
a P(minority) =
b. clas
Chapter 7
Continuous Probability
Distributions
Solved Problems
Problem 7-4
a b 400 3800
a.
2100
2
2
b.
b - a
12
2
3800 400
12
2
981.50
1
c. P(x 2000)
(2000 400) .4706
(3800 - 400)
1
d. P(x 3000)
(3800 3000) .2353
(3800 400)
Problem 7-9
a. 490 and 510
Chapter 6
Discrete Probability
Distributions
Solved Problems
Problem 6-1
x
P(x)
xP(x)
0
.20
0
1
.40
.40
2
.30
.60
3
.10
.30
= xP( x ) 1.30
Problem 6-1 (Cont.)
x
x
-1.30
1.69
.338
- .30
.09
.036
.70
.49
.147
1 .70
2.89
.289
2
x 2 p x
2 x 2 p x .81
.8
CHAPTER 10
One-Sample Tests of Hypotheses
SOLVED PROBLEMS
Texas A&M - Commerce
Problem 10-1
1.
H
H
0
1
: 50
: 50
2.
.05
3.
Test Statistic X , based on Z
4.
Decision Rule : Fail to reject
H
0
falls between 1.96 and 1.96 or FTR
H
5.
6.
7.
0
if 1.96 Z .96
1
CHAPTER 11
Two-Sample Tests of Hypothesis
SOLVED PROBLEMS
1.
H :
H :
0
1
Problem 11-3
1
1
2
2.
.05 (one tail)
3.
TestStatistic x1 x 2 Z
4.
Decision Rule : FTR
5.
z
x1 x 2
2
n
1
2
n
0
if z 1.645
7.6 8.1
2.3 2.9
2
40
Decision: Fail to reject H0
1
6
2
H
2
Chapter 3
Describing Data :
Numerical Measures
Solved Problems
Problem 3-3
a.
Problem 3-3
b.
x x
5 7 9 7 4 7 10 7
2 2 3 3
0
Problem 3-10
1. X
13
13
12
15
7
15
5
12
6
7
12
10
9
13
12
161
x =
161 .73overtime hours
a. X X
10
n
15
b. X is a sample stati
Chapter 1
What is Statistics?
Solved Problems.
Problem 1
a. Interval
b. Ratio
c. Nominal
d. Ordinal
e. Ratio
Problems # 5,6,7
5.Qualitative data is not numerical, whereas
quantitative data is numerical.
6.A population is the entire group which you are
stu
Chapter 5
6) A. List the chances of this experiment if there is particular concern about gender equity.
Outcome
1st
2nd
1
M
M
2
M
F
3
F
F
4
F
M
B. Which concept of probability would you use to estimate these probabilities? Classical
14) A. Use an addition
Homework Week 3
Chapter 6
2) Compute the mean and variance.
Mean = 5.4
Variance = 12.04
10) In a binomial distribution where n=5 and pie = .40, determine the probabities:
a. x=1, P(1)=5!/1!(5-1)! * (.4)(.6)5-2=0.2592
b. x=2, P(2)=5!/2!(5-2)! * (.4)2(.6)5-
Chapter 9
2) 38.9
6) a. 18,775, $21,225
b. As sample size increases, the error decreases.
10) a. 2.145
b. 2.5
c. 1.796
16) a. .75
b. 0.694 to 0.806
c. population portion is between 70 to 80 percent.
24) 60
Chapter 10
6) a. greater than equal to 3
b. less
Chapter 13
2) Coefficient of determination-.79
X is approx. 80 percent of the variation of Y.
4) a. Y being units and X being the assemblers
b. The production is effected by the assemblers. The higher and lower amount of
assemblers, the more different pro
Notes for Exam
Data from doc sharing that will be on exam
Time Series Plot: Has Cycle, Trend, Seasonality
Time Series Plot of Sales Rev.
1000
Sales Rev.
800
600
400
200
0
1
8
16
24
32
40
48
56
64
72
Index
Removed Seasonal differenced Date
Ran Autocorrelat
BA 302 Chap 13
To be turned in by May 3rd: Problem 13-4 page 471 and added problems. Solve the problem first
manually and then by excel. In addition to solving for r and r squared manually, test the model for
statistical significance, find the regression
Chap1
Statistics can be categorized into two major classifications - descriptive statistics and inferential statistics. You are
familiar with descriptive statistics in your every day life. Whenever you see a graph, a pie chart, a trend line, a budget
list
Chap 5
Deals with probability. Probability can be defined simply by Probability of an Event P(Event) = Number of
ways the event can occur/total outcomes. There are three types of probability - classical, relative frequency (or
empirical), and subjective (
Chap 8
6, 15, 16, 17, 18, 33, 34, 35
The Central Limit Theorem (CLT) is "central" to sampling theory. You know that sampling saves time, money, and product
where destruction is involved. But what would this matter if we did not have a high degree of confi