The science of collecting, organizing, summarizing, and analyzing information to draw conclusions or answer questions
Data
Factual information used as a basis for reasoning, discussion, or calculation
Types of Statistics
Descriptive Statistics
Inferential Statistics
Descriptive Statistics
Organizing and summarizing data through numerical summaries, tables, and graphs
Descriptive Statistics
The average score of a volleyball player for the past 10 games
Birth rate in rural areas in the Philippines
Enrollment record of all colleges in BSU – TNEU Lipa Campus
Inferential Statistics
The logical process that involves generalizing from a sample to the population from which the sample was selected and assessing the reliability of such generalizations
Inferential Statistics
A car manufacturer wishes to estimate the average lifetime of batteries by testing a sample of 50 batteries
The political views of the youth in the urban areas with respect to inflation rate in Asia
A campaign manager analyzes the effect of TV ads on the promotion of a presidential candidate
Population
All the members of the group about which you want to draw a conclusion
Sample
A portion or part of the population of interest selected for analysis
Parameter
A numerical index describing a characteristic of a population
Statistic
A numerical index describing a characteristic of a sample
Primary data
Data that come from an original source, and are intended to answer a specific research question
Secondary data
Data taken from previously recorded data, such as information in previously conducted research, financial statements, business periodicals, and government reports
Constant
A characteristic of objects, people, or events that does not vary
Constant
The temperature at which water boils (100 degree Celsius)
Variable
A characteristic of objects, people, or events that can take different values
Types of Variables
Qualitative variables
Quantitative variables
Qualitative variables
Variables that yield categorical responses, such as words or codes that represent class or category
Qualitative variables
Eye color, sex, occupation, student number
Quantitative variables
Variables that take on numerical values representing an amount or quantity
Quantitative variables
Height, weight, distance, salary
Classification of Variables
Experimental Classification
Mathematical Classification
Independent variables
Variables controlled by the experimenter or researcher, and expected to have an effect on the behavior of the subjects
Dependent variables
Variables that measure the behavior of subjects and are expected to be influenced by the independent variable
Experimental Classification
To predict the value of fertilizer on the growth of plants, the dependent variable is the growth of plants while the independent variable is the amount of fertilizer used
Discrete variables
Quantitative variables that are either a finite number of possible values or a countable number of possible values
Discrete variables
Number of cars, number of siblings
Continuous variables
Quantitative variables that have an infinite number of possible values that are not countable
Continuous variables
Height, weight, volume
Levels of Measurement of Variables
Nominal Level
Ordinal Level
Interval Level
Ratio Level
Nominal Level
Data that consist of names, labels or categories only, with no numerical value
Nominal Level
Sex (male or female), Type of School (public or private), Eye Color (blue, green, brown)
Ordinal Level
Data that may be arranged in some order, but differences between data values either cannot be determined or meaningless
Ordinal Level
Highest Educational Attainment (elementary, high school, bachelor, masteral, doctoral), Rank of military officer (lieutenant, captain, major, colonel)
Interval Level
Measurement level that specifies the distances between each interval on the scale, with no absolute zero
Interval Level
Temperature on Fahrenheit/Celsius thermometer, IQ (e.g., high IQ vs. average IQ vs. low IQ)
Ratio Level
The highest, most precise, level of measurement, with an absolute zero