Chapter 9:
Basics of Hypothesis Testing
Review: Basics of Inference
Population all possible values
Sample a portion of the population
Statistical inference generalizing from a sample to a population with calculated degree
of certainty
Two forms of statist

Basic Calculation
Shiaw-Fen Ferng, Ph. D.
Indiana State University
Objectives
Refresh basic mathematical
operation skills needed for
calculations used in the biostatistics
class.
S.F. Ferng-2
Rank the numbers
1.64
1.96
-1.64
-2.33
Number sequence
Positi

r
r
Using EXCEL for Linear
Correlation/Regression Analysis
Shiaw-Fen Ferng, Ph. D.
Indianan State University
1
Objectives
Use EXCEL for correlation/regression analysis
Find and interpret correlation coefficient (r)
Find and interpret coefficient of determ

Using EXCEL to Calculate
Frequencies and Relative
Frequencies of Data Sets
Shiaw-Fen Ferng, Ph. D.
Indianan State University
1
Objectives
Understand relative frequency calculation
Use EXCEL to calculate
Frequencies
Relative frequencies
S.F. Ferng-2
Re

r
r
Using EXCEL for Linear
Correlation/Regression Analysis
Shiaw-Fen Ferng, Ph. D.
Indianan State University
1
Objectives
Use EXCEL for correlation/regression analysis
Find and interpret correlation coefficient (r)
Find and interpret coefficient of determ

Samples and the
Population
Shiaw-Fen Ferng, Ph. D.
Indiana State University
1
Objectives
Familiar with various sampling methods
Simple random samples
Systematic random samples
Stratified random samples
Cluster samples
Convenience samples
S.F. Ferng-

Types of Study Designs
Shiaw-Fen Ferng, Ph. D.
Indiana State University
1
Objectives
Knowing types of study designs
Experimental studies
Observational studies
Cohort studies
Case-control studies
Prevent bias
Help to design and conduct better
eviden

Using EXCEL to Draw a
Histogram
Shiaw-Fen Ferng, Ph. D.
Indianan State University
1
Objectives
Understand the data calculation for histogram
The nature of a histogram
Percent Cumulative frequency calculation
Use EXCEL to draw/calculate histogram
For

TOPIC; LEADERSHIP EFFECTIVENESS PAPER
NURS 628; HEALTH MANAGEMENT AND SERVICES
PROF; ROMAR LINGAD, FNP-C, MSN,RN
SCHOOL; MMD SCHOOL OF NURSING
STUDENT GRACE OSUJI
DATE ;0/21/17
1
Leadership style can be a way or fashion of providing instruction and motiva

Data, Variables, and Cases
Shiaw-Fen Ferng, Ph. D.
Indiana State University
1
Data/Variables
Data
The set of measurable available
information
Also called Variable
Data are subject to variability
Examples
Age, gender, blood pressure, patient satisfac

Chapter 6:
Binomial Probability Distributions
Binomial Random Variables
Binomial = a family of discrete random variables
Binomial random variable the random number of successes in n independent
Bernoulli trials (a Bernoulli trials has two possible outco

Chapter 3:
Frequency Distributions
Stem-and-leaf plots (stemplots)
Always start by looking at the data with graphs and plots
Our favorite technique for looking at a single variable is the stemplot
A stemplot is a graphical technique that organizes data

Chapter 18
Cross-Tabulated Counts
Types of Samples
Data may be generated by:
I. Naturalistic Samples. An SRS with data then cross-classified according to the explanatory
variable and response variable.
II. Purposive Cohort Samples. Fixed numbers of indivi

Chapter 8:
Introduction to Statistical Inference
Concepts:
Statistical inference is the act of generalizing from a sample to a population with
calculated degree of certainty.
Parameters and Statistics
It is essential to draw the distinction between para

Chapter 7:
Normal Probability Distributions
Normal Distributions
Normal random variables are the most common type of continuous random variable
First described de Moivre in 1733
Laplace elaborated the mathematics in 1812
Describe some (not all) natural ph

Chapter 2:
Types of Studies
Types of Studies
Surveys: describe population characteristics (e.g., a study of the prevalence of
hypertension in a population) 2.1
Comparative studies: determine relationships between variables (e.g., a study to address
whet

Chapter 5:
Probability Concepts
Definitions:
Random variable - a numerical quantity that takes on different values depending on
chance
Population - the set of all possible values for a random variable
Event - an outcome or set of outcomes
Probability

Chapter 4:
Summary Statistics
Summary Statistics
Central location
Median
Mean
Mode
Spread
Range and interquartile range (IQR)
Variance and standard deviation
Shape summaries
seldom used in practice
not covered
Notation
n sample size
X the variable (e.g.,

Chapter 1:
Measurement
Biostatistics:
Statistics is not merely a compilation of computational techniques
Statistics
is concerned with all elements of study design, data collection and analysis of
numerical data
is a way of learning from data
does require

STUDY GUIDE: EXAM 1
AHS 340: SP 2017
The purpose of this study guide is to help you focus your studying efforts. However,
material in the text, lectures, notes, online homework, and workbook is FAIR
GAME. The statements below are not actual questions on t