Hypothesis Testing: Concepts and Applications
Chapter 1: Hypothesis Testing
1. After you conduct a coin-flipping simulation, a graph of the ________ will be very close to 0.50.
2. The graph of a null distribution will be centered approximately on:
3. The p-value of a test of significance is:
4. Suppose a researcher is testing to see
Read MoreMeasurement Scales, Statistical Concepts, and Research Methods in Social Sciences
Measurement Scales
Likert Scales
An ordinal level measurement of a person’s attitude, typically using a 5-7 point scale, allowing participants to indicate how much they agree or disagree with a statement. This method assumes that attitudes can be measured and ranked. It uses ordinal data with two extreme points and a neutral point, making it simple to complete.
Continuous Measurement Scale
Allows for fractional amounts/decimals, which make sense in this context.
Discrete Scale
Only fixed amounts can be
Read MoreStatistical Analysis of Various Research Studies
One-Sample t-test
– A study was conducted to investigate whether the age of tourists in Katatonia has increased since 1995.
In a random sample of 250 tourists in Katatonia, the average age was 47.77 years (s = 15.41 years). This is higher than the average age of 45 years recorded in 1995, and a one-sample t-test shows that this difference in mean age is significant, t(249) = 2.84, p = .005. The 95% confidence interval indicates that since 1995 the average age of tourists has increased
Read MoreAssessment Tools for Literacy and Cognitive Development in Children
Tests
1. Basic Functions Test – PFB
Authors
Neva Milicic and Olga Berdicewski (1974)
Objective
To assess the degree of maturity reached by the child to start learning reading and writing. Establishing a prognosis with regard to the time the child could delay the acquisition of reading and writing. Organize classes for children with differential immaturity.
Addressee
Primarily children who have completed kindergarten or newly initiated 1st grade.
Structure
Consists of 8 subtests: copying figures, visual memory,
Read MoreRegression Analysis: A Guide to Modeling Predictive Relationships
Regression
Regression is a well-known statistical technique used to model the predictive relationship between several independent variables (DVs) and one dependent variable. The objective is to find the best-fitting curve for a dependent variable in a multidimensional space, with each independent variable being a dimension. The curve could be a straight line, or it could be a nonlinear curve. The quality of fit of the curve to the data can be measured by a coefficient of correlation (r), which is
Read MoreSimple Linear Regression
BIOS 7020: Introductory Biostatistics II Fall 2018
Hanwen Huang, Ph.D.
Department of Epidemiology & Biostatistics
College of Public Health University of Georgia huanghw@uga.edu
Data Summaries (Mean, Median, . . .) Introduction to Probability
Inference for one sample problem: estimates, CIs and tests for
continuous response: mean binary response: proportion
Inference for two sample problem: estimates, CIs and tests for
continuous response: mean binary response: proportion
