Intro to Stats
This is a set of individuals, items, or data selected from a population of interest.
A sample
Country of origin represents this level of measurement
Nominal
A normal frequency distribution is colloquially called a "this" shaped curve.
Bell-shaped curve
This is the mathematical average of a sample
This is the range of values between the upper and lower quartiles of a data set
Interquartile range
This is a characteristic that describes a sample
a sample statistic
Temperature (measured in Fahrenheit) represents this level of measurement
Interval
The range is found by subtracting these two values
the smallest value from the largest value
A study reports that women are more likely to ask for directions than men. This is the modal value of the study
Women
The smaller the standard deviation of a sample, we would see less (this) among the scores
Spread
This area of statistics helps to summarize, organize, and make sense of data
Descriptive statistics
Seasons (fall, winter, etc.) are measured on the nominal scale and represent this type of segmented variable which is measured by whole units or categories and not distributed along a continuum
Discrete Variable
This number will always represent the total relative frequency
1.00
If 2 points were subtracted from each score in a distribution, the mean would do this
Decrease by 2 points
Standard deviation scores are obtained by applying this mathematical operation to the variance
Square root
This area of statistics allows researchers to infer or generalize observations made with samples to the larger population from which they were selected.
Inferential statistics
Letter grade (A,B,C,D,F) is represented by this scale of measurement
Ordinal
This is the value of a score on a measurement scale below which a specified percentage of scores in a distribution fall.
Percentile point
This is the middle value in a distribution of data listed in numeric order
Median
This is why standard deviation is the preferred descriptive statistic over the variance
Better interpretation in relation to the original scores.
Or
We can speak in terms of units
This is a set of scores, measurements, or observations (typically numeric)
Data
This represents the one meaningful difference between the interval and ratio levels of measurement
Zero is meaningful or Zero does reflect an absence of the underlying measured characteristic, for the Ratio scale.
The relative percentage is derived from this
The relative frequency
This is the average value of a group of disproportionate scores or samples of scores.
Weighted Mean
An empirical rule is that roughly this percent of scores will fall between one standard deviation above and below the mean
68% (Chebyshev's Theorem)