Chapter 1 and 4 Flashcards
(36 cards)
Blank is the science of gathering, describing, and analyzing data
Statistics
A blank is a study in which data are obtained from every member of the population.
Census
A blank is a particular group of Interest
Population
A blank is a subset of population from which data are collected
Sample
A blank is a numerical description of a population characteristic.
Parameter
A blank is a numerical description of a sample characteristic
Statistic ( sample statistic)
A blank is variable or characteristic that changes among members of the population
Variable
Blank are counts, measurements, or observations gathered about a specific variable in a population in order to study it.
Data
Blank, as a science, Gathers, sorts, summarizes, and displays the data
Descriptive statistics
Blank, as a science, involves using descriptive statistics to estimate the population parameters
Inferential statistics
Blank data consists of labels or descriptions of traits
Qualitative (categorical or attribute)
Blank data that consists of counts or measurements
Quantitative (numerical)
Blank of measurement are qualitative data consists of labels or names
Nominal level
Blank of measurements are qualitative data that can be arranged in meaningful order, but calculations such as addition or division do not make sense
Ordinal data
Blank of measurement are quantitative data that can be arranged in meaningful order, and differences between data entries are meaningful
Interval level
Blank of measurements are qualitative data that can be ordered , differences between data entries are meaningful, and 0 point indicates the absence of something
Ratio level
Correlation doesn’t mean causation
Misleading conclusion
Not enough to represent the population
Small sample sizes
Can be worded it to be misleading or bias
Loaded questions
Can lead respondents to draw incorrect conclusion
Order of Question
Refusal to respond by participants affect data
Non responses
Can affect results
Missing data
If a number looks very precise, people may think its reliable when it is not
Precise numbers
Can be misleading or unclear
Percentages