Presentation on theme: "STATISTICAL METHODS I STATISTICAL METHODS I Prof. Elizabeth M. Role, Ph. D. Prof. Elizabeth M. Role, Ph. D."— Presentation transcript:
STATISTICAL METHODS I STATISTICAL METHODS I Prof. Elizabeth M. Role, Ph. D. Prof. Elizabeth M. Role, Ph. D.
It is not the capability you now possess or ever will have that will give you success; it is that which the Lord will do for you. It is not the capability you now possess or ever will have that will give you success; it is that which the Lord will do for you. Ellen G. White
Theoretical Statistics Applied Statistics Types of Statistics
Theoretical (Mathematical) Statistics deals with the development, derivation, and proof of statistical theorems, formulas, rules, and laws. Applied Statistics Involves the applications of statistical theorems, formulas, rules, and laws to solve real-world problems.
Inferential Statistics Descriptive Statistics DIVISIONS OF APPLIED STATISTICS Probability
Descriptive Statistics Consists of methods for organizing, displaying, and describing, data by using tables, graphs, and summary measures. Inferential Statistics Consists of methods that use sample results to help make decisions or predictions about a population.
Census TERMINOLOGIES Population Sample Random Sample Representative Sample Sample Survey Statistics Survey Element Non-random Sample Data Variable
Population is the collection of all elements whose characteristics are being studied. Sample is a portion of the population of interest. Element is a specific subject or object included in a sample or population.
Data is the collection of observations or measurements (value/score for an element) on a variable. Data Cross-section Time-series
Cross-section data are collected on different elements at the same point in time or for the same period of time. Time-series data give the values of the same variable for the same element at different points in time or for different periods of time.
Sources of Data Experiment Survey Experiment is the collection of data under controlled or modified environment. Survey is the collection of data on the elements of a population or sample.
Census is a survey that includes all members of the population. Luke 2 The Birth of Jesus 1 In those days Caesar Augustus issued a decree that a census should be taken of the entire Roman world. 2 (This was the first census that took place while Quirinius was governor of Syria.) 3 And everyone went to his own town to register.
Sample survey is a survey that includes elements of a sample. Representative sample is a sample that contains the same characteristics as the corresponding population.
Random sample is a sample drawn in such a way that each element of the population has some chance of being included in the sample. Simple random sample is a sample drawn in such a way that each element of the population has the same chance of being selected for the sample.
Casting Lots Casting the lot settles disputes and keeps strong opponents apart. Proverbs 18:18
The lot is cast into the lap, but its every decision is from the Lord. Proverbs 16:33
Sampling with replacement w/o replacement With replacement – each element is put back in the population before the next element is selected. Without replacement – occurs when the selected element is not replaced in the population.
Variable Types Quantitative Qualitative Quantitative variable is a variable that can be measured numerically. Variable is a characteristic under study that assumes different values for different elements.
Quantitative Continuous Discrete Discrete variable is a variable whose values are countable. Continuous variable can assume any numerical value over a certain interval. Qualitative (categorical) variable cannot assume numerical values but is classified into two or more categories.
Levels of Measurement Ratio Interval Ordinal Nominal QuantitativeQualitative