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Answer paper
Antioxidant group
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Antioxidants prevent cell destruction against_. Free Radicals
What are antioxidants? Molecules
Many antioxidants can be found in _. Foods
What is a na
1. A Call-center claims that the average time a customer waits on hold is less than 5 minutes. To test this
claim, a random sample of 35 customer calls is selected. The average wait time for the sample is 4.78
minutes with a sample standard deviation of 1
1. According to a study conducted by Dell Computers, 65% of men and 70% of women say
that weight is a very important factor in purchasing a laptop computer. Suppose this survey
was conducted using 374 men and 481 women. Do these data show enough evidence
1. A Call-center claims that the average time a customer waits on hold is less than 5 minutes.
To test this claim, a random sample of 35 customer calls is selected. The average wait time
for the sample is 4.78 minutes with a sample standard deviation of 1
1.Asmalltownhas5600residents.Theresidentsinthetownwereaskedwhetherornotthey
favoredbuildinganewbridgeacrosstheriver.Youaregiventhefollowinginformationonthe
residents'responses,brokendownbygender:
Men
WomenTotal
InFavor14002801680
Opposed
84030803920
Tota
JOSHUA VEGA
45 SHOPPERS AT A SUPER MARKET
CLASS RANGE = $55.95(66.76-10.81_)
CLASS SIZE = 5
AMOUNT SPENT ($)
$10-$21.99
$22-$33.99
$34-$45.99
$46-$57.99
$58-$69.99
CLASS SIZE =6
$10-$20
$20-$30
$30-$40
$40-$50
$50-$60
$60-$70
55.95/5 APROX 12
CLASS WIDTH
The attendance at baseball games at a certain stadium is normally distributed, with a mean of
25,000 and a standard deviation of 1200. For any given game:
A) What is the probability that attendance is greater than 27,500?
=25000, =1200
z = (x - ) / :
Z=27
1. Distinguish between Descriptive Statistics and Inferential Statistics.
Descriptive statistics is where we take our observation (data) and arrange and present the
information in tables, graphs, and summary measures.
Inferential statistics is when we tak
1. The SAT test scores have an average value of 1200 with a standard deviation of 60. A random
sample of 40 scores is selected for study.
A) What is the shape, mean(expected value) and standard deviation of the sampling distribution
of the sample mean for
1. The following probability distribution represents the number of people living in a Household
(X), and the probability of occurrence (P(X). Compute the Expected Value (mean), the Variance
and the Standard Deviation for this random variable.
X
1
2
3
4
5
1. A small town has 5600 residents. The residents in the town were asked whether or not they favored
building a new bridge across the river. You are given the following information on the residents'
responses, broken down by gender:
Men
Women
Total
In Fav
The following variable (X) represents the number of coupons used over a 6 month period by a
sample of 11 shoppers:
81, 68, 70, 66, 70, 82, 60, 70, 66, 78, 62
Use this data to compute:
The mean, the median, the mode, the range, the variance, the standard d
1. The quality control manager at a lightbulb factory needs to estimate the mean life of a new
type of lightbulb. The population standard deviation is assumed to be 60 hours. A random sample
of 30 lightbulbs shows a sample mean life of 450 hours. Construc
Binomial Probability Formula
P(x= /n= , p= ) = [ n!/ x!(n-x)! ] [ px ( 1- p )n-x ]
Where:
x = the value of the binomial random variable =
the number of successes.
n = the number of trials of the experiment or the
sample size.
p = the probability of a succ
LECTURE NOTES
I.
II.
III.
Introduction
A. Learning objectives After reading this chapter, students should be able to:
1. List two ways that economic growth is measured.
2. Define modern economic growth and explain institutional structures needed for an
ec
LECTURE NOTES
I.
II.
III.
Introduction: This chapter looks at trends of real GDP growth and the macroeconomic
problems of the business cycle, unemployment and inflation.
Learning objectives After reading this chapter, students should be able to:
A. Descri
LECTURE NOTES
I.
IntroductionWhat Are the Basic Macro Relationships?
A. Learning objectives After reading this chapter, students should be able to:
1. Describe how changes in income affect consumption and saving.
2. List and explain factors other than inc
CHAPTER 7 Measuring the Economy.
We need to measure the economys performance in order to see where
it has been, where it is, and to try and predict where it is going.
1. Gross Domestic Product (GDP)
the total market value of all final goods and services p
II.
III.
IV.
Introduction
A. Even on a wilderness backpacking trip, Americans are not leaving the world behind.
Much of backpacking equipment may be imported, not to mention the vehicle they
used to arrive at the trail, the coffee they sip, etc.
B. Many A
CHAPTER 1
1) A definition of economicsyou should be able to explain what the study of economics
is about.
The study of how society organizes itself and
makes the necessary decisions to allocate its
scarce resources to satisfy as many human wants
as possib
CHAPTER 5: The Foreign Sector Most Important Points
1. The opening part of the chapter puts the size and make-up of the U.S.
foreign sector in perspective. The information is general and very good;
especially the tables and charts.
A) Why so much trade gr
Hypothesis Testing Procedure
1. Identify the Null Hypothesis and Alternate Hypothesis
- Null Hypothesis (Ho) is what is being tested
- Null must contain the equality (=), (), ()
- Alternate (Ha) is the complement of the Null
2. Identify the Test Statistic
DEFINITIONS
The UNION of two events contains all of the simple events in
either A or B, including those which belong to both. (A B)
The INTERSECTION of two events contains all of the simple
events that belong to both A and B. (AB)
MUTUALLY EXCLUSIVE event
Problem #46, Chapter 6
A, Z = X-/ = 400-450 / 100 = -.50 = .3085 = area to the left of x = 400
500-450 / 100 = +.50 = .6915 = area to the left of x = 500
Answer = .6915 - .3085 = .383 = area between x = 400 and x = 500 = probability that x will take on a
RULES FOR PROBABILITY
#1 = Simple or Marginal Probability = The probability of an event
is the sum of the probabilities of the simple events that make it
up.
#2 = Addition Rule = P(A U B) = P(A) + P(B) - P(A B)
For finding probability of a union
2A = mutu
Scales (levels) of measurement
The scales (levels) of measurement determine the amount of information
contained in the Data and indicate the most appropriate statistical tools.
1) NOMINAL: identify an item as a member of a particular category. For
example