Stat 1000 Exam 1
QUESTIONS AND 100%
CORRECT ANSWERS!!
Categorical data - ANSWER -non-numeric data
examples of categorical data - ANSWER -eye color, address, favorite color, favorite
Avenger
ways to display categorical data - ANSWER -pie chart, bar graph - anything that displays
frequency or relative frequency
relative frequency - ANSWER -percentages! %
Quantitative data - ANSWER -any piece of data involving a number for each individual
input
ways to display quantitative data (graphical) - ANSWER -histogram, stem plot, box plot
ways to display quantitative data (numeric) - ANSWER -mean, median, quartiles, range,
interquartile range, variants, standard deviation
how do you read a stem and leaf plot? - ANSWER --the stem is the ten's digit
-the leaves are the records of individual pieces of data as the one digits that go with their tens
digit
-the leaves to the left represent a separate data set to the leaves on the right.
A stem and leaf plot tells you... - ANSWER -frequency, outliers, spread, shape
, skew - ANSWER -shape of data that results when one end of the data has a longer tail
than the other
spread - ANSWER -refers to the range of a data sets values, usually the interquartile
range
numerical summary measure - ANSWER -quantities which describe the spread and
center of a data set
mean - ANSWER -aka average
1/n * Σ(Xi)
n is sample size, Xi is individual data points
median - ANSWER -average of middle values
Out of mean and median, the _______ is more resistant to skew observations. -
ANSWER -median
Quartiles - ANSWER -median of smaller sections of data set
Quartiles: Usually the sets are split by the overall ________, with the ____ representing the
median of the lower half of the data, and the ____ representing the median of the upper half
of the data. - ANSWER -median, Q1, Q3
Interquartile Range - ANSWER -Q3 - Q1
The interquartile range encompasses the _______ ______ of the data. - ANSWER -
middle 50%
Outlier Thresholds - ANSWER -Q1 - (1.5*IQR)
Q3 + (1.5*IQR)
If the value of any data points exceed the thresholds, those data points' extremity are
significant.
QUESTIONS AND 100%
CORRECT ANSWERS!!
Categorical data - ANSWER -non-numeric data
examples of categorical data - ANSWER -eye color, address, favorite color, favorite
Avenger
ways to display categorical data - ANSWER -pie chart, bar graph - anything that displays
frequency or relative frequency
relative frequency - ANSWER -percentages! %
Quantitative data - ANSWER -any piece of data involving a number for each individual
input
ways to display quantitative data (graphical) - ANSWER -histogram, stem plot, box plot
ways to display quantitative data (numeric) - ANSWER -mean, median, quartiles, range,
interquartile range, variants, standard deviation
how do you read a stem and leaf plot? - ANSWER --the stem is the ten's digit
-the leaves are the records of individual pieces of data as the one digits that go with their tens
digit
-the leaves to the left represent a separate data set to the leaves on the right.
A stem and leaf plot tells you... - ANSWER -frequency, outliers, spread, shape
, skew - ANSWER -shape of data that results when one end of the data has a longer tail
than the other
spread - ANSWER -refers to the range of a data sets values, usually the interquartile
range
numerical summary measure - ANSWER -quantities which describe the spread and
center of a data set
mean - ANSWER -aka average
1/n * Σ(Xi)
n is sample size, Xi is individual data points
median - ANSWER -average of middle values
Out of mean and median, the _______ is more resistant to skew observations. -
ANSWER -median
Quartiles - ANSWER -median of smaller sections of data set
Quartiles: Usually the sets are split by the overall ________, with the ____ representing the
median of the lower half of the data, and the ____ representing the median of the upper half
of the data. - ANSWER -median, Q1, Q3
Interquartile Range - ANSWER -Q3 - Q1
The interquartile range encompasses the _______ ______ of the data. - ANSWER -
middle 50%
Outlier Thresholds - ANSWER -Q1 - (1.5*IQR)
Q3 + (1.5*IQR)
If the value of any data points exceed the thresholds, those data points' extremity are
significant.
