SMALL BUSINESS ENTERPRISE: Tutor: Esther M Aivihenyi
Small Business Enterprises, Unit 33
Prepared for Mrs. Esther M Aivinhenyi
From: Galina D Pavlovska
Student Number: 21788
Unit Code: Unit 33
Date: 07/07/2014
GALINA PAVLOVSKA: 21788
1
SMALL BUSINESS ENTE
4.1 What is probability?
Probability is a numerical description of how likely it is for a certain event to happen
Relative Frequency probability- We have already computed this when we did the
relative frequency
TransformationsAdditionalNotesfor
Topic11
TypesofModels
Power
1
2
3
4
5
0
2
4
6
8
10
x
0
1
2
3
4
5
y =ab x
y
Exponential
0
y
Linear
x
2
4
8
16
32
64
y =2 x +1
x
0
1
2
3
4
5
y
0
1
4
9
16
25
y =2 x
y =ax b
y = x2
ReviewofLogs
y
Logb x = y b = x
Log (ab) = L
9.2 Hypothesis Tests (Large Samples)
A research meteorologist has been studying wind patterns over the Pacific Ocean.
Based on these studies a new rout is proposed for commercial airlines going form
San Francisco t
Chapter 3: Examining Relationships Notes
Intro:
This section is going to focus on relationships among several variables for the same
group of individuals. In these relationships, does one variable cause the other variable
to change? In this relationship w
3.3 Mean and Standard deviation of Grouped Data
Basic Plan
1. Make a frequency table corresponding to the histogram
2. Compute the midpoint for each class and call it x
3. Count the number of entries in each class
6.2 Z Scores
Two students were in two different classes. The first student scored a 74 on a test in
which the class average was 64 with a standard deviation of 3. A second student
scored an 82 on a test o
5.1 Random Variables and Probability Distributions
A random variable is any quantitiative variable that we measure or observe because
it could taken on
Discrete random variable: this is when a variable can t
3.4 Percentiles and Box and Whisker Plots
Percentiles
For whole numbers P, where P is between 1 and 99 (including 1 and 99) the Pth
percentile of a distriubiton means that P% of the data fall AT OR BELOW it
5.4 Poisson Distribution
A Poisson distribution is used for events that are rare, that we have a rate at which
they happen. Just like binomial distribution we only evaluate success or failure.
Let (La
2.2 Frequency Distributions and Histograms
Histograms are bar graphs in which
a. The bars have the same width and _
b. The width of the bar represents a_ value, rather than a
_
c. The height of each bar
TABLE OF CONTENTS
Abstract10
Acknowledgement .11
Chapter I. Introduction.12
1.1.
Res
earch background12
Research objectives
1.2.
14
1.3.
Research
questions
and
hypotheses.14
1.4.
Research
plan.17
Research limitations
1.5.
17
1.6.
Research ethics
18
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9.1 Hypothesis Testing
The main question in Hypothesis Testing Hey, is this value for the average right?
Null Hypothesis: _ This is often an _ or claim that we
wish to test to see if it is still viable.