UNIT 1: INTRODUCTION TO STATISTICS AND THE COLLECTION OF
DATA.
MODULE 1: INTRODUCTION TO STATISTICS.
Definition
Statistics is the science of collecting, organizing, summarizing, and analyzing data to answer
questions and/or draw conclusions. This discipli
UNIT 5: BASIC PROBABILITY AND PROBABILITY DISTRIBUTIONS.
MODULE 1: BASIC PROBABILITY: EXPERIMENTS, OUTCOMES AND SAMPLE
SPACES.
Definitions.
Experiments: An experiment is a process that, when conducted, results in one and only one of
potentially many outco
2
UNIT 6: THE TEST FOR INDEPENDENCE
MODULE 1: THE 2 DISTRIBUTION AND TEST FOR INDPENDENCE .
The chi-square (chi, the Greek letter pronounced "kye) statistic is a nonparametric statistical
technique used to determine if a distribution of observed frequenci
STAT 120: FUNDAMENTALS OF STATISTICS 201710 WORKSHEET #
5.
BINOMIAL DISTRIBUTIONS.
1. A hockey goaltender has a save percentage of 0.920. This means that the probability of
any single shot taken on the goaltender being a goal is 0.08. What would be the ex
STAT 120: FUNDAMENTAL OF STATISTICS 201710 WORKSHEET #1
1. For each example below, identify the type of data (numerical/catergorical) that will be
used to describe each response
(a) Number of tickets sold for a concert
(b) Amount of body fat
(c) Favourite
STAT 120: FUNDAMENTALS OF STATISTICS 201710 WORKSHEET #
6.
NORMAL DISTRIBUTION
1. Determine the following probabilities
(a) P (z < 2.24)
(b) P (z < -1.56)
(c) P (z < - 0.87)
(d) P (z < 3.46)
(e) P (z > - 1.07)
(f) P (z > 0.6)
(g) P (z > 2.02)
(h) P (z > -
STAT 120 FUNDAMENTALS OF STATISTICS 201710 WORKSHEET
#2.
1. Using the following raw data calculate: arithmetic mean, geometric mean, harmonic
mean, median, mode, range, interquartile range, semi interquartile range, variance and
standard deviation.
(a) 16
Department of Management & Entrepreneurship
ACCT 210 Cost & Management Accounting
Take Home Challenge #2
20 %
Instructions: This is an INDIVIDUAL assignment. Attempt all questions and submit your answers
to the lecturer at or before 11.00 a.m. 22nd April
STAT 120: FUNDAMENTAL OF STATISTICS 201710 WORKSHEET #4
RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS.
1. X is a discrete random variable:
X
P (X = x)
(a) Find the value of k.
1
k
2
2k
3
3k
4
4k
2
b
3
1/3
4
1/4
(b) Find E(X).
(c) Find Var(X).
2.
Consider
Introductory Statistics: Practice Questions.
The Normal Approximation to the Binomial Distribution
1. Stress on the job is a major concern of a large number of people who go into managerial
positions. It is estimated that 80% of the managers of all compan
SOCI 1005 Introductory Statistics for Behavioural Sciences
Final Research Project (40%)
Assignment description and Instruction: This is an individual assignment. You have been
randomly assigned a second dataset KB_set for this project. This assignment sho
Problem Set 1
This worksheet covers material from units 1-2. It contributes 6% to your final grade and is due
on Saturday October 8, 2016 at 11:55 PM EC time/ 10:55 PM JA time.
Please show all working and/or explanation. Please submit assignment in the dr
Problem Set 3
This worksheet covers material from units 6-7. It contributes 6% to your final grade and is
due on Saturday, November 26, 2016 at 11:55 PM EC time/ 10:55 PM JA time.
Please show all working and/or explanation. Please submit assignment in the
CONDITIONAL PROBABILITY AND THE MULTIPLICATION LAW
What is Conditional Probability?
This probability refers to the probability of one event given that
another event has occurred. This probability therefore restricts ones
attention to the event that has al
Levels of Measurement
Source: http:/www.socialresearchmethods.net/kb/measlevl.php
The level of measurement refers to the relationship among the
values that are assigned to the attributes for a variable. What does
that
mean?
Consider
a
variable,
"political
CLINICAL METHODOLOGY
& STATISTICS
OPTM 2092
INTRODUCTION
INTRODUCTION
Statistics collection of
methods for planning
experiments, obtaining data,
and then organizing,
summarizing, analyzing,
interpreting, presenting and
drawing conclusions based on
data.
D
Tutorial Record Book Problems in Basic Probability and Binomial Distribution
1.
A clinic offers you a free test for a very rare, but hideous disease. The test they offer is very
reliable. If you have the disease it has a 98% chance of giving a positive re
AGBU 3000
Unit 2: Farm Decision Making Using Micro
Economic Principles
The Production Function
Introduction
All agribusinesses produce something.
Whether it be products such as wheat, flour and cereal or
services such as storage or banking.
Regardless o
Unit 12: Two-Analysis of Variance
The randomized complete block design is useful to obtain data for comparing
treatments means when the experimental units are heterogeneous in a manner
that one-way blocking can be used for its control. The response of a u
UNIT 10: CONTIGENCY TABLES:
Looking
for
relationships between categorical variables
An inferential method for assessing relationships between
categorical variables will be presented in this unit.
Each categorical variable has at least two groups
Response:
UNIT 11: ONE-WAY ANALYSIS OF VARIANCE
One-way analysis of variance is useful for analysis of data obtained from experiments
based on completely randomized designs and observational studies where the response is
expected to depend on a single classificatio
AGBU 2003: Applied Statistics
2 X 3 Tables
Example
Do rats pose a serious problem in commercial poultry production? A survey was
conducted to assess the seriousness of the problem and how it affects different types of
operations. For the purposes of this
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UNIT 2:
Basic concepts and Definitions
Data collection methods cover the study of
ways of gathering data for the intended
purpose.
Statistics
Survey Design is a study of various methods of
drawing samples and collecting observations from
the pop
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Measures of Location
UNIT 3: DESCRIPTIVE STATISTICS
These are typical values of a data set.
There are two broad categories of description.
Mean
The mean or average value of a data
set denoted by X is given by
Measures of Location
Measures of spr
3/2/2013
UNIT 4:
THE NORMAL DISTRIBUTION
Normal distribution is one of the most useful distributions
for Statistical inference. The distribution is
Characterized by two parameters ( mean and
Standard deviation).
Symmetrical about the mean, hence
mean = m