Homework
1) A bag contains 6 marbles all of a different color. How many combinations of 4 marbles
can be selected from this bag?
2) Geoff wants to take 3 people with him to see the B-52s. He has 7 friends to choose
from. How many different combinations of
Homework
For the data set cfw_1, 1, 3, 9, 11
1) Find the mean
2) Find the population standard deviation
3) Find the population variance
4) Find the sample standard deviation
5) Find the sample variance
6) Find the range
7) For the data set cfw_4, 4, 4, 4,
MGF 1106 Test 3 SAMPLE
NOTE TO MATH LAB: THIS IS NOT AN ACTUAL TEST.
Name
Instructions and Point Values: Put your name in the space provided above. There are
33 questions on this test. Each question is worth 3 points. This test is multiple choice. Each
qu
MGF 1106 Test 3 SAMPLE
NOTE TO MATH LAB: THIS IS NOT AN ACTUAL TEST.
Name
Instructions and Point Values: Put your name in the space provided above. There are
33 questions on this test. Each question is worth 3 points. This test is multiple choice. Each
qu
MGF 1106 Test 3
So that you will know where to look in the book for the appropriate concept to review:
Questions 1-3: Chapter 2 - Set Theory
Question 4: 11.3 (incorporating chapter 2)
Question 5: Chapter 10 - Geometry
Question 6: 11.4 (incorporating chapt
Simulating Stock Prices
Stock price now (S0)
Time increment (Dt, days)
Expected return Mu (per year)
Volatility (V, annualized)
The stock price of company ABC t
its expected annual return is 8%.
model to simulate the price of thi
can change them.
With the
Computer Project Three
Fall 2013
Due Date: November 22nd (at 10:00 AM)
Points Possible: 40
Self-selected groups of two students will work together to collect, enter, and
analyze stock prices from data collected from the online website,
www.barrons.com (cl
New Material
1. In the United States, which sector uses the largest amount of energy?
a. buildings
b. transportation
c. industry
2. About what percentage of US energy is supplied by fossil fuels?
a. less than 30%
b. about half, or 50%
c. about two thirds,
Jose Ortiz
1.33(abcd)
a) Individuals who uses the popular web site with a med-price ring.
b) Engagement ring price Quantitative Variable
Level of Appreciation Qualitative Variable
c) All engaged couples
d) I do not believe the sample of 33 respondents is
Jose Ortiz
HW#2
11.19(def)
d)
Predictor
Variables
Constant
CEOBDAYS
Coefficient
Std Error
2.72274
0.85131
3.20
0.30626
0.04592
6.67
R
2.42372
Adjusted R
AICc
PRESS
0.9175
T
0.0330
0.0026
P
Mean Square Error (MSE)
0.8969
Standard Deviation
20.879
18.906
So
Term
Course
credit
grade
4
3
A
A
4
4
UE
Eng 1
Stats I
Bio
Computers
1
3
3
3
3
AAB+
BA
3.66
3.66
3.33
2.67
4
3.66
10.98
9.99
8.01
12
UE
EngII
Public Spe
Flim
GCC
Marco
1
3
3
3
3
3
A
A
AA
B+
A
4
4
3.66
4
3.33
4
4
12
10.98
12
9.99
12
Mirco
Ethics
3
3
A
A
4
4
Effect of Marching In Place on Pulse Rate
in Males and Females
Elysa Medina
1.
Data Source and Description:
The data used in the project is from http:/sites.stat.psu.edu/~rho/mindon/ds/pulsemarch.txt. Data
consists of a collection of 40 people from both f
5. income. Average income does notparticularize anybody or neglect anybodiesincome. In thisrespect,
statistics gives an over allidea.Statistics describes only numeral information:Statistics is anexposure of
the numerical data .If it is not possibleto expr
10. - Trade Association Publications like Sugar factory, Textile mill, Indian chamber of Industry and
Commerce. - Stock exchange reports, Co-operative society reports etc.v) News papers and periodicals Ex:
- The Financial Express, Eastern Economics, Econo
Introduction to Business Statistics
1. BUSINESS STATISTICS - WHAT AND WHY?Definition of Statistics-Statistics is the study of how to collect,
organize, analyze, and interpret numerical informationfrom data.Types of StatisticsDescriptive statistics
involve
MEASURES OF CENTRAL TENDENCY
In statistics, the mean, median, and mode are known as measures
of central tendency; they are used to identify the center of a data set:
Mean: The value between the largest and smallest values of a
data set, obtained by a pre
LEE: Determine the level at meme:
I remind lThe name eta subject
lThe bluedtyn-eef a patient
lTheage eta subject
lThe height eta subject
l'l'hege-nderef an individual
lTheweight eta patient
lThetemn-ereture Ella cup ufeeee
IA free-paint Ukert Eaie
lThe ey
_l isasampleafshentalten fmmamlnfh
in sucha I.illa1_.u'that each individual deserved has an equally likely chance at
heirg selected.
I mndarn sarrqlle I
1.13 I_'| sampir'gisa sample such that my individual cur item is
measured.
1-1114 |_| sampng is such t
1.455 I_] refers to lite degreeof accuracy towhich a studg.r reects lite
specific concept orchamcteristic that line analyst or researcher i5 attempling
to measure.
- validity
Validity
1.455' I_] '5 a consistent deviation olthe slat'istito one side of the-
EGN 3443
Engineering Statistics
Fall 2013
Team Project Part I
Due: in first 2 minutes of class on Thursday, November 7, 2013, or
2:00 pm, on Thursday, November 7, 2013, for online students in Section 701
Name
Section
Write (computer type), print and submi
2
( x i x )
=
2
Population Variance:
CHAPTER 7.1
n
2
( x ix )
s=
2
Sample Variance:
=
Population Mean:
x =
Sample Mean:
n1
xi
Population Standard Deviation:
N
xi
Sample Standard Deviation:
n
Confidence Intervals (CI): Used to estimate the true value of
CHAPTER 4.1 4.3 (Continous Random Variables and Probability Distributions)
Continous Random Variables: i) a single interval or a union of disjoint intervals. ii) P(X=c)=0 for any # c in domain of X
Probability Distributions: The curve of a probability dis
CHAPTER 2 PROBABILITY
Complement (A,B,C): A=cfw_the set of all outcomes not in event A Ex. A=cfw_ THH,THT,TTH,TTT
A B (A but not B)
Union (U): The union of 2 events AUB (read A or B) is the event consisting of all outcomes in both A and/or B minus repeats
Population: A well-defined collection of objects under study (all students who graduated with a BSME in 2012)
Sample: A randomly obtained subset of the population (100 out of 100 students)
Characteristics: Specific details of interest in a population (Cat
Mehul Patel
Scatter Plot of CONVICTS vs FEMARELF
C O N V IC T S
90
60
30
0
0
100
200
300
400
FEMARELF
11.20
a.) Yes, a weak linear trend
b.) y-hat=29.6+.147x
Student Edition of Statistix 10.0
6:13:35 PM
FEMA.sx, 3/3/2016,
Least Squares Linear Regression o
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Introduction
to Statistics I
CHAPTER-8: ONE
PARAMETER HYPOTHESIS
TESTING
1
Fall 2013 Venkateswara Rao Mudunuru, USF
Hypothesis Testing-1
V
As discussed in Chapter-1, the main purpose of statistics is to
use information in a sample to make i
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Introduction
to Statistics I
Chapter-7: Point Estimation
and Confidence Intervals
1
Fall 2013 Venkateswara Rao Mudunuru, USF
Confidence Intervals
Vn
Point Estimate
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2
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An estimate of a population parameter given by a
single number
Chapter-8 Exam-3 HT for Means Sigma Known Problems
Do not reject H0
Reject H0
H0 False
(H1 True)
Type II Error
Correct
nV
Decision
True State
H0 True
(No Effect)
Correct
Type I Error
Type I error: Rejecting a true Null Hypothesis. The probability of
commi
FALL 2014 | CHAPTER-6 CLASS PROBLEMS
10/31/2014
PRACTICE PROBLEMS
1. A survey reports that 83% of Internet users use Google Chrome as
their browser. If we randomly select 200 Internet users and ask each
whether they uses Chrome as their browser. Using cor
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Introduction to
Statistics I
Chapter-6: Normal
Distribution and Sampling
Distribution of Means &
Proportions.
Fall 2013 Venkateswara Rao Mudunuru, USF
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2
Vn
Probability Density Function
probability density function is a function that
is us