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The number may be expressed as n = 50 − a so its square is (50−a) 2 = 50 2 − 100a + a 2. One knows that 50 2 is 2500. So one subtracts 100a from 2500, and then add a 2. For example, say one wants to square 48, which is 50 − 2. One subtracts 200 from 2500 and add 4, and get n 2 = 2304.
Psychological statistics is application of formulas, theorems, numbers and laws to psychology. Statistical methods for psychology include development and application statistical theory and methods for modeling psychological data. These methods include psychometrics, factor analysis, experimental designs, and Bayesian statistics. The article ...
For example, suppose that scale scores are found to have a mean of 23.5, a standard deviation of 4.2, and to be approximately normally distributed. Then sten scores for this scale can be calculated using the formula, () +. It is also usually necessary to truncate such scores, particularly if the scores are skewed.
For example, methods based on covariance matrices are typically employed on the premise that numbers, such as raw scores derived from assessments, are measurements. Such approaches implicitly entail Stevens's definition of measurement, which requires only that numbers are assigned according to some rule. The main research task, then, is ...
Statistical literacy is the ability to understand and reason with statistics and data. The abilities to understand and reason with data, or arguments that use data, are necessary for citizens to understand material presented in publications such as newspapers, television, and the Internet.
A rating scale is a set of categories designed to obtain information about a quantitative or a qualitative attribute. In the social sciences, particularly psychology, common examples are the Likert response scale and 0-10 rating scales, where a person selects the number that reflecting the perceived quality of a product.
Random variables are usually written in upper case Roman letters, such as or and so on. Random variables, in this context, usually refer to something in words, such as "the height of a subject" for a continuous variable, or "the number of cars in the school car park" for a discrete variable, or "the colour of the next bicycle" for a categorical variable.
Examples of values that might be represented in a categorical variable: Demographic information of a population: gender, disease status. The blood type of a person: A, B, AB or O. The political party that a voter might vote for, e. g. Green Party, Christian Democrat, Social Democrat, etc. The type of a rock: igneous, sedimentary or metamorphic.