Quantitative Descriptive Statistics Flashcards
The practice or science of collecting and analyzing numerical data in large quantities. It summarizes data from a sample.
Statistics
It provides a standardized method and procedure for summarizing and organizing all cases of one quantitative variable.
Descriptive Statistics
Numbers that summarize data for an entire population.
Parameters
It is the most commonly used descriptive statistic and it is defined as the number of times a particular value of a variable occurs.
Frequencies
The two fundamental types of numerical data.
Quantitative data and Categorical data
It is obtained when the variable being studied is measured along a scale that indicates how much of the variable is present. It is also reported in terms of scores.
Quantitative data
Indicates the total number of objects, individuals, or events a researcher finds in a particular category. Some examples are race, sex, and age group.
Categorical data
It is a theoretical distribution that is symmetrical and in which a large proportion of the scores are concentrated in the middle.
Normal distribution
Described as an asymmetrical type of curve. It is also the degree to which the distribution of data is bunched to one side or the other.
Skewness
Shows a distribution in which there are hardly any scores on the right side of the distribution.
Positively Skewed Curve
There are very few low scores — the long tail
pointing to the left indicates this.
Negatively Skewed Curve
A table that helps researchers create a visual representation of the distribution. This is done by listing the scores in order, from highest to lowest, with tallies to indicate the number of times each score occurs.
Frequency distribution
What are the ways to measure quantitative data?
Number of cases, Measures of central tendency, and Measures of dispersion
The number of cases for which data are reported is represented by the letter _____.
N
__________ is used to collect data from large populations and generalize the statistics to the broader population in an externally valid way.
Sampling
True or False: A normal distribution exhibits zero skewness.
True