1/17
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced |
---|
No study sessions yet.
In a statistical study, what is the difference between an individual and a variable.
An individual is a member of the population of interest. A variable is an aspect of an individual subject or object being measured.
population:
the whole set
statistic
a number associated with a sample
sample
Part of the whole set
parameter
a number associated with a population. Ex: mean, mode, median, range.
Ordinal
Categories with a meaningful order, but no consistent interval between them. Examples: Survey responses (e.g., strongly disagree → strongly agree), Socioeconomic status (low, middle, high)-Race placements (1st, 2nd, 3rd)
Nominal
“No particular order” Examples: Gender (male, female, nonbinary)- Political affiliation (Democrat, Republican, Independent)-Hair color (blonde, black, brown)
Ratio
We can order the data, take differences, and also find the ratio between data values. For instance, it makes sense to say that one data value is twice as large as another.
Interval
Ordered values with equal intervals, but no absolute zero point. exaples: Sat scores, Iq scores, Act scores.
Mode
most frequent value in a data set
median
middle value in a data set
mean
the average of a dataset
range
the highest value- the lowest value
(Sampling distribution) use z table directly for:
“Less than” “At Most”
(Sampling distribution) Subtract from 1 for:
“Greater Than” “At least”
Alpha is:
the probability of rejecting Ho when it is true
A type I error is
The act of rejecting Ho when it is true
A type II error is
The act of not rejecting Ho when it is false.