Objective

Content

T-L

Activity

Time

Hrs.

Summarize and present a

data set using appropriate

summary statistics & graphical methods

Data types

Scales of measurement

Measures of central tendency:

Average- Mean, Median, Mode

Measures of dispersion:

Range, Quartiles, Standard Deviation

Significant figures, Rounding, Tables

Graphs: Histograms, Stem & Leaf Plots, Box plots, Bar & Pie Charts: (simple, compound and component), Pictogram,Scatter diagram, Line Graph

Lecture

2

Describe the sampling

methods and comment on the

appropriateness of the

sampling method used for a

particular study

Sampling techniques: simple, random, systematic, stratified, multistage, cluster Table of random numbers, Computer generated random numbers

Lecture

1

Explain confidence intervals

Standard error of mean, Standard error of percentage/ proportion, SE of difference between two means, SE of difference between two proportions

Lecture

2

Perform the following

significance test – Normal

test (for means and

percentages), X2 test

Null hypothesis

Normal test/Z test, t test, Chi square test

Type I error and Type II error

Lecture

1

Interpret correlation

coefficient and linear

regression

Correlation coefficient,

Simple Linear Regression,

Regression Coefficient interpretation.

Lecture

1

Explain the need for

standardization of mortality

and morbidity statistics.

Standardized Mortality rate/ratio -

Direct standardization

Indirect standardization

Lecture

1