word Statista – "Statement" came from?
Italian word
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| Term | Definition |
|---|---|
word Statista – "Statement" came from? | Italian word |
word Statistik – "Political State" came from | German word |
Early probability theory | Blaise Pascal |
A branch of applied mathematics involving collection, description, analysis, and inference of conclusions from quantitative data. | Statistics |
Probability & statistical inference | Pierre-Simon Laplace |
Correlation & hypothesis testing | Karl Pearson |
Father of modern experimental design | Ronald Fisher |
Factual information (as measurement or statistics) used as basis for reasoning, discussion, or calculation | Data (Webster’s 1973) |
Entire group studied | Population |
Observable characteristic that varies | Variable |
Factual information organized for analysis | Data (Webster’s II 1996) |
Numerical description of population | Parameter |
Numbers, characters, images, or recordings; alone has no meaning, when interpreted becomes information → enhances knowledge | Data (Practical view) |
Subset of population | Sample |
Numerical description of sample | Statistic |
Number of times a value occurs | Frequency |
Systematic error in data collection | Bias |
Gathering data from entire population | Census |
Distance between mean & data point | Deviation |
Range of values of a variable | Distribution |
Summarizes occurrences of values | Frequency table |
Bell curve probability model | Normal distribution |
Relationship between two variables (-1 to +1) | Correlation (r) |
Determines differences among the means of two or more groups on a variable | ANOVA (Analysis of Variance) |
Association between two variables in which one causes a change in the other | Causal Relationship |
Compares observed data with expected data according to a hypothesis | Chi-square Test |
Determines if the scores of two groups differ on a single variable | T-Test |
Draws a sample strictly by chance, no discernible pattern beyond chance | Random Sampling |
Summarizes data set | Descriptive Statistics |
Determines relationships, generalizes to population | Inferential Statistics |
Assumes distribution; uses interval/ratio data | Parametric Statistics |
Non-numerical (gender, color, civil status) | Qualitative Data |
No distribution assumptions; uses nominal/ordinal data | Non-Parametric Statistics |
Numerical (Discrete = countable; Continuous = measurable) | Quantitative Data |
Order + distance between points, no true zero (temperature, IQ) | Interval |
Categories only (gender, religion, nationality) | Nominal |
Rank order (class rank, satisfaction level) | Ordinal – |