30 terms

Chapter 1- Introduction to Statistics

consist from information coming from observations, counts, measurements, or responses
the science of collecting, organizing, analyzing, and interpreting data in order to make decisions
the collection of all outcomes, responses, measurements, or counts that are of interest
a subset, or part, of a population
a numerical description of a population characteristic
a numerical description of a sample characteristic
Descriptive statistics
the branch of statistics that involves the organization, summarization, and display of data
Inferential statistics
the branch of statistics that involves using a sample to draw conclusions about a population; a basic tool used is probability
Qualitative data
consist of attributes, labels, and nonnumerical entries
Quantitative data
consist of numerical measurements or counts
Nominal level of measurement
are qualitative only and are categorized using names, labels, or qualities; no mathematical computations can be made
Ordinal level of measurement
are qualitative or quantitative and can be arranged in order, or ranked, but differences between data entries are not meaningful
Interval level of measurement
can be ordered, and meaningful differences between data entries can be calculated; a zero entry simply represents a position on a scale; the entry is not an inherent zero
Ratio level of measurement
similar to data at the interval level, with the added property that a zero entry is an inherent zero; a ratio of two data entries can be formed so that one data entry can be meaningfully expressed as a multiple of another
Observational study
a researcher does not influence the responses
a researcher deliberately applies a treatment before observing the responses
applied to a group called the treatment group
Control group
receives no treatment
a harmless, fake treatment that is made to look like the real treatment
the use of a mathematical or physical model to reproduce the conditions of a situation or process
an investigation of one or more characteristics of a population
Confounding variable
occurs when an experimenter cannot tell the difference between the effects of different factors on the variable
a technique where the subjects do not know whether they are receiving a treatment or a placebo
blind experiment- neither the experimenter nor the subjects know if the subjects are receiving a treatment or a placebo
a process of randomly assigning subjects to different treatment groups
Sample size
the number of subjects in a study
the repetition of an experiment under the same or similar conditions
a count or measure of an entire population
a count or measure of part of a population
Convenience sample
leads to biased studies