Dinesh Bastakoti
MGT 446003
December 20, 2012
Strategic Analysis of Arctic Cat Inc.
Introduction
It was a cold winter in Minnesota in 1954, when David Johnson, Edgar Hetteen and Allan
Hetteen built a
CE 4460 5560 PROJECT MANAGEMENT
PROJECT IA FALL 2017
DUE: 6:30 PM ON 5 OCTOBER 2017
NAME:_
ID:_
1. YOUR ENGINEERING FIRM HAS BEEN CONTRACTED TO DESIGN A
RESIDENTIAL STRUCTURE. THE PLAN AND PROFILE ARE
undLesson 8
Chapter 8 Notes
Section 8.1: Three Ideas of Sampling
1. Sample Examine a Part of the Whole
The entire collection of individual elements of interest is the population.
A portion of the po
Lesson 2
Chapter 2 Sections 13
Section 2.1: Summarizing a Categorical Variable
A frequency table consists of a complete list of the possible _categories_ with their
associated _counts_ (frequencies)
Running head: STATISTICS
Statistics
Name
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Statistics
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Fast operational setups have prompted contemporary busineses to inroduce innovative
techniques as a way
TwoSample Test Review
Is the question about means or proportions?
Are the samples paired or not?
Is the question about variability?
For the following problems set up the hypotheses, write the test st
TwoSample Test Review
For the following problems set up the hypotheses, write the test statistics with its formula, state the
critical value decision rule, state the assumptions.
1. The following dat
BUSINESS STATISTICS
MGT 216
Spring 2013
The corequisite for this class is College Algebra, if you have not completed or are not
currently enrolled in College Algebra you should not be in this class.
Grading Rubric (With Notes) for Your Memo
When I grade your memos this is what I will look for.
In the memo: (2 points)
I will look for proper memo format including initialing your name on the from li
Review for Test 2
1. Only 30% of all new medicines are profitable.
company developed 10 new medicines last year.
a) How many of the 10 new medicines
eventually become profitable?
A leading drug
would
Lesson 17
ANOVA
Instead of comparing means between 2 groups we often need
to compare the _ among _ _
_ groups.
The parametric test to do this is called
_ _ _ (ANOVA).
Definitions:
_ or _ variable: The
Lesson 16
2 Proportion test &
ChiSquare Test of Independence
ztest for comparing 2 proportions:
The test statistic for comparing proportions of two independent
samples is a 2proportion z test.
For
Lesson 15
Paired ttest
If the two sets of measurements are _ a 2sample (independent) ttest is not appropriate.
Two sets of measurements are related if:

items or individuals are _ or
_ according to
Lesson 13
One Sample Tests
The pvalue
pvalue: The _ of obtaining a value for the _
_ equal to or more _ than the result
obtained given _ _ _.
If the p value is small:
If the p value is large:
When p
Lesson 12
Hypothesis Testing
Hypothesis testing enables us to _ _ about a
_ _ of a _
_ by analyzing differences between the
_ _ and the _
_ _. In the words of John Marden
(Professor of Statistics at U
Lesson 11
Estimation II and Sample Size
Confidence interval for a proportion:
where X=sample number of successes and n=sample size.
Note: P is the sample proportion of successes (events). We are
estim
Lesson 10
Estimation 1
Inferential Statistics: to use _ results to make
inferences about the _ from which the sample
was drawn. The _ population should be the same
as the _ population!
Estimation
_ _:
Lesson 9
Sampling and Sampling Distributions
Why sample?
1. Limitations of _ and _.
2. A sample is more _ than a census.
3. Measurement may be _.
Types of Sampling
Nonprobability Sample
Entities chos
Lesson 8
The Normal Distribution
Continuous Probability Density Function: A mathematical function
That describes probability for a continuous variable.
Area = _, therefore
Total Area under the curve =
Lesson 7
Covariance and Poisson
Covariance
The covariance is applied to _ _ by
_ _ . The covariance describes how two
variables vary with respect to each other. If the covariance is
_ both investments
Lesson 6
Discrete Probability Functions
A _ Distribution for a discrete _
_ is a _ _ listing of all
possible outcomes and their associated _.
presented as a _, _, or _.
This can be
Probability
distrib
Lesson 5
More Basic Probability
Note: You will need the Binomial tables for Lesson 6!
A population of 200 TSP stores, a womens casual clothing chain
was crossclassified on the basis of frequency of c
Lesson 4
Basic Probability
_ is the likelihood that a particular event
will occur.
We can write this symbolically as _.
_ P(E) _.
There are 3 types of probability:
1.
_ _: The proportion of times
that
Lesson 3: Quartiles and Plots
Shape
_ vs. _
mean > median: Positive or Right Skewed
mean median: Symmetry or No Skewness
mean < median: Negative or Left Skewed
Stem and Leaf Display separates data int
Lesson 2
Describing Quantitative Data
n = sample size, N = population size
Measures of _ _
1.A. _ _
population mean
sample mean
(parameter)
(statistic)
advantage: uses _ from all the _
advantage: has
Lesson 1: Frequency Tables and Graphs
Qualitative Data
Summary Table or Frequency Table
What is qualitative data?
Examples:
_ _: A list of all mutually exclusive categories
(classes or outcomes) and t
Learning Project #1
I recommend you work on this project with one partner. If you work with a partner, only one
project (with both of your names on it) needs to be turned in per pair.
1.Usingthewebsit