Chapter 1
Introduction to
Statistics
1.1
An Overview of
Statistics
Data and Statistics
Data consists of information coming from
observations, counts, measurements, or responses.
Statistics is the science of collecting,
organizing, analyzing, and interpre

Sampling distribution
Chapter 7
Chapter 7
Sampling Distribution
Learning Objectives
In this chapter, you learn:
The concept of the sampling distribution
To compute probabilities related to the sample mean and the
sample proportion
The importance of the

Basic Probability: Counting
Rules and probabilities
Chapter 4
Chapter 4
Counting Rules
Rules for counting the number of possible outcomes
Counting Rule 1:
If any one of k different mutually exclusive and
collectively exhaustive events can occur on each of

Confidence Intervals and Sample
size
Chapter 8
Chapter 8
Confidence Interval Estimation
Learning Objectives
In this chapter, you learn:
To construct and interpret confidence interval estimates for the mean and
the proportion
How to determine the sample

Continuous Probability
distributions
Chapter 6
Probability Distribution for Continuous Random
variables: Normal Distribution
Chapter 6
Learning Objectives
In this chapter, you will learn:
To compute probabilities from the normal distribution
How to use

Visualizing and organizing data
Chapter 2
Chapter 2
Organizing and Visualizing Data
Learning Objectives
In this chapter, you learn:
To construct tables and charts for numerical data
To construct tables and charts for categorical data
The principles of

Summary statistics: Measures of
Central Tendency
Chapter 3
Chapter 3
Numerical Descriptive Measures
Learning Objectives
In this chapter, you learn:
To describe the properties of central tendency, variation,
and shape in numerical data
To construct and i

Statistical distributions:
Discrete probability distribution
Chapter 5
Chapter 5
Discrete Probability Distribution
Learning Objectives
In this chapter, you learn:
The properties of a probability distribution
To calculate the expected value, variance, and

Fundamentals of Hypothesis
Testing: One-Sample Tests
Chapter 9
1
Learning Objectives
In this chapter, you learn:
The basic principles of hypothesis testing
How to use hypothesis testing to test a mean or proportion
The assumptions of each hypothesis-testi

Chapter 10
Two-Sample Tests
Learning Objectives
In this chapter, you learn hypothesis testing
procedures to test:
The means of two independent populations
The means of two related populations
The proportions of two independent populations
The variance

Chapter 11
One Way ANOVA (analysis of variance)
Learning Objectives
In this chapter, you learn:
How to use the one-way analysis of variance to test for
differences among the means of several groups
One-Way Analysis of Variance
One-Way Analysis of Variance

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
Provide an appropriate response.
1) In a recent study of 84 eighth graders, the mean number of hours per week that they I)
watched television was 22.3 . Fro

Chapter 11
Nonparametric
Tests
11.1
The Sign Test
Sign Test for a Population
Median
A nonparametric test is a hypothesis test that does not
require any specific conditions concerning the shape of the
population or the value of any population parameters.
T

RIT Dubai
Digital Systems I EEEE-120
Introduction to Logic
Circuits_2
Lamia Tchoketch Kebir
Spring 2016
Based on Stephen Brown and Zvonko Vranesic,
Fundamentals of Digital Logic with VHDL Design,
McGraw-Hill, 3rd Edition
1
Synthesis Using AND, OR, and Not

Task 2
Some people believe that working in the group or as team helps gain skills which are more important
than the skills acquired working alone. The topic Is very debatable and I believe that working alone is
actually better than working in team to acqu

RIT Dubai
1
Electrical Engineering Program
EEEE 414 Classical Control
Block Diagram
Representation of Control
Systems
H1(s)
G1(s)
G2(s)
U(s)
Y(s)
G3(s)
G4(s)
H2(s)
Introduction
A Graphical Tool to simplify the Analysis
and Design of Complex Control Syste

Chapter 4
Discrete Probability
Distributions
4.1
Probability
Distributions
Random Variables
A random variable x represents a numerical value
associated with each outcome of a probability distribution.
A random variable is discrete if it has a finite or c

Chapter 2
Descriptive
Statistics
2.1
Frequency
Distributions
and Their
Graphs
Frequency Distributions
A frequency distribution is a table that shows
classes or intervals of data with a count of the
number in each class. The frequency f of a class is
the

Chapter 6
Confidence Intervals
6.1
Confidence
Intervals for the
Mean
(Large
Samples)
Point Estimate for Population
A point estimate is a single value estimate for a
population parameter. The most unbiased point
estimate of the population mean, , is the s

Chapter 5
Normal
Probability
Distributions
5.1
Introduction to
Normal
Distributions and
the Standard
Distribution
Properties of Normal
Distributions
A continuous random variable has an infinite
number of possible values that can be represented
by an inte

Chapter 9
Correlation and
Regression
9.1
Correlation
Correlation
A correlation is a relationship between two variables.
The data can be represented by the ordered pairs (x, y)
where x is the independent (or explanatory) variable,
and y is the dependent (

Chapter 7
Hypothesis Testing
with One Sample
7.1
Introduction to
Hypothesis
Testing
Hypothesis Tests
A hypothesis test is a process that uses sample
statistics to test a claim about the value of a
population
parameter.
If a manufacturer
of rechargeable b

Chapter 8
Hypothesis Testing
with Two Samples
8.1
Testing the
Difference Between
Means
(Large
Independent
Samples)
Two Sample Hypothesis
Testing
In a two-sample hypothesis test, two parameters
from two populations are compared.
For a two-sample hypothesi

Chapter 10
Chi-Square Tests
and the FDistribution
10.1
Goodness of Fit
Multinomial Experiments
A multinomial experiment is a probability experiment consisting
of a fixed number of trials in which there are more than two possible
outcomes for each independ

RIT Dubai
Electrical Engineering Program
EEEE 414 Classical Control
SIGNAL FLOW
GRAPH
C
Vin
A V1
B
V2
E
Vout
D
G
Signal Flow Graph Analysis of Control Systems
F
1
Introduction
Alternative
method to block diagram representation,
developed by Samuel Jeffer

Task 2
Human beings are similar to each other yet so different, they have their own perception about different
things and prefer different learning methods. But when it comes to gaining skills from either working
alone or in a group, I believe group work

RIT Dubai
Digital Systems I EEEE-120
Number Representation
and Arithmetic Circuits
Lamia Tchoketch Kebir
Spring 2016
Based on Stephen Brown and Zvonko Vranesic,
Fundamentals of Digital Logic with VHDL Design,
McGraw-Hill, 3rd Edition
1
Objectives
O Repres

RIT Dubai
Digital Systems I EEEE-120
Finite State Machines
(FSMs)
Practice Problems
Lamia Tchoketch Kebir
Spring 2016
Based on Stephen Brown and Zvonko Vranesic,
Fundamentals of Digital Logic with VHDL Design,
McGraw-Hill, 3rd Edition
1
Design a Modulo-8