Margin of Error & Sample Size
DOCUMENT NOTES
MATH NSPIRED
About the Mathematics
This activity investigates the margin of error for a confidence interval
and the relationship between sample size and the margin of error.
This activity will give students the
8: Large-Sample Estimation
8.1
The margin of error in estimation provides a practical upper bound to the difference between a particular
estimate and the parameter which it estimates. In this chapter, the margin of error is 1.96 (standard error
of the est
Question 1
0 out of 5 points
Fifty T-shirts are grouped into four colors- A, B, C and D- and the number of T-shirts which
fall into each color is shown in the table:
Color
Frequency
A
11
B
14
C
20
D
5
What percentage of the T-shirts is not in color B?
Sel
Question 1
0 out of 5 points
The following data represent the scores for a sample of 10 students on a 20-point
chemistry quiz: 16, 14, 2, 8, 12, 12, 9, 10, 15, and 13. The z-score for the largest
observation is unusually large
Selected
Answer:
Correct
Ans
A manager of a grocery store wishes to show the relationship between the
number of customers who come to the store on the weekends, and the total
sales volume (in dollars) during the same weekend. The manager has 52
weeks of this data. Which type of grap
Question 1
5 out of 5 points
Which of the following is always true for all probability density functions of continuous
random variables?
Selected
Answer:
Correct
Answer:
All of these choices
are true.
All of these choices
are true.
Question 2
5 out of 5 p
8.1)
The margin of errror in point estimation provides a pracical upper bound for the error of estimatio
8.3)
b.)
0.339
8.7)
a.)
c.)
0.179
0.049
8.25)
a)
0.883147945
0.796852055
8.29)
a.)
3.92
8.33)
3.903966909
3.496033091
8.35)
a.)
a.)
5.99
4.61<m<5.99
4
Question 1
5 out of 5 points
An experimenter publishing in the Annals of Botany investigated whether the stem
diameters of the dicot sunflower would change depending on whether the plant was left
to sway freely in the wind or was artificially supported. S
9.3 A) = .01 z.01 = -2.33 The null hypothesis Ho will be rejected if z < -2.33
B) = .01 /2 = .005 Z.005 = 2.58 The null hypothesis Ho will be rejected if Z < -2.58
C) z = -2.41 The null hypothesis Ho will be rejected at the 1% level for the rejection regi
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ETF List for FAME 7 | Release Date 04/02/2017 | 1 of 196
Fund Name
Ticker
Structure
Broad Category Morningstar Category
iShares MSCI All Country Asia ex Jpn Idx
iShares MSCI ACWI Index
iShares MSCI ACWI ex US Index
BLDRS Asia 50 ADR Index
BLDRS Developed
Home Mortgage Spreadsheet Assignment
The purpose of this project is to investigate the cost of a home mortgage.
A couple has decided to purchase a home. The negotiated price is $175,000
The couple can pay the standard 20% down payment, and the rest will b
Ch. 10 - Development of a brand
76. Select a brand or label in your internship company and identify if is a designer or
merchandising brand and how does it contribute to the company image?
Label in my internship company that I would identify is Halal Meat
A)
Mike Owjai Manufacturing
Income Statements
For the Years 2013 and 2014
Sales
Cost of Goods
Gross Profit
Depreciation
Selling & Admin. Expense
Lease Expense
Net Operating Income
Interest Expense
Earnings Before Taxes
Taxes
Net Income
2014
2013
$2,625,00
Elvis Products International
Income Statement
For the Year Ended Dec. 31, 2014
2014
2013
Sales
3,850,000 3,432,000
Cost of Goods Sold
3,250,000 2,864,000
Gross Profit
600,000
568,000
Selling And G&A Expenses
330,300
240,000
Fixed Expenses
100,000
100,000
Coca Cola
Income Statements
For the Years 2013 and 2014
Sales
Cost of Goods
Gross Profit
Selling & Admin. Expense
Net Operating Income
Interest Expense
Earnings Before Taxes
Taxes
Net Income
2014
2013
$45,998,000
17,889,000
$46,854,000
18,421,000
28,109,0
Elvis Products International
Income Statement
For the Year Ended Dec. 31, 2014
2014
2013
Sales
3,850,000 3,432,000
Cost of Goods Sold
3,250,000 2,864,000
Gross Profit
600,000
568,000
Selling And G&A Expenses
330,300
240,000
Fixed Expenses
100,000
100,000
1
Usually a large pizza feeds 5 students with a standard deviation of 1.3 students.
What percent of the time will a large pizza feed more than 10 students?
I order a pizza and it feeds 7 students? Is that unusual?
What number of students can a large pizza
Chapter 4
We use probability to estimate the possibility of random occurances.
An event is an outcome of an experiment ( which is the process by which
an observation is obtained)
An experiment can be rolling a die, recording daily rainfall, interviewing f
Chapter 6
When a variable is discrete, you can assign a probability to each x. The sum of those will be
one. However, continuous variables have an infinite number of values and each one cannot
have a probability assigned to it.
What are examples? When I r
Chapter 5
A binomial experiment is one with two possible outcomes: heads or tails, win or lose,
man or woman, has gene or not has gene
A binomial experiment has 5 characterisitics:
1. n identical trials
2. each trial has one of two outcomes; we call them
Chapter 5
A binomial experiment is one with two possible outcomes: heads or tails, win or lose,
man or woman, has gene or not has gene
A binomial experiment has 5 characterisitics:
1. n identical trials
2. each trial has one of two outcomes; we call them
Chapter 5
A binomial experiment is one with two possible outcomes: heads or tails, win or lose,
man or woman, has gene or not has gene
A binomial experiment has 5 characterisitics:
1. n identical trials
2. each trial has one of two outcomes; we call them