STAT 330 Exam 1 with Accurate
Solutions
a collection of methods for planning experiments, obtaining data, organizing,
summarizing, presenting, analyzing, interpreting, and drawing conclusions based on the
data.
ex. sports teams using scouting reports, hospitals assessing the quality of care provided
to its patients, farmers comparing different fertilizers, etc. - ANS-Statistics
A set of all measurements of interest to the investigator
◦All salaries of people in a field - ANS-Population
a subset of measurements selected from the population of interest.
◦Alumni of University, Likely Voters, etc. - ANS-Sample
each member of the population has an equal chance of being selected.
◦Does choosing alumni end up in a random sample? - ANS-Random Sample
Lists categories (or classes) along with counts (or frequencies) of the number of
observations that fail into each category. - ANS-Frequency table
Range = highest observation - lowest observation - ANS-Range
class width = range/number of classes
round up, even (whole number without a decimal) remainder add an extra class (instead
of 7 we will use 8 classes) - ANS-Determining class width
sum of the frequency of that class and all previous classes - ANS-cumulative frequency
the proportion of observations/scores that fall in that class - ANS-relative frequency
=class frequency/sum of all frequencies - ANS-relative frequency
Numerical measures - ANS-can be created for both populations and samples
is a numerical measure of a population - ANS-parameter
is a numerical measure of a sample. - ANS-statistic
Solutions
a collection of methods for planning experiments, obtaining data, organizing,
summarizing, presenting, analyzing, interpreting, and drawing conclusions based on the
data.
ex. sports teams using scouting reports, hospitals assessing the quality of care provided
to its patients, farmers comparing different fertilizers, etc. - ANS-Statistics
A set of all measurements of interest to the investigator
◦All salaries of people in a field - ANS-Population
a subset of measurements selected from the population of interest.
◦Alumni of University, Likely Voters, etc. - ANS-Sample
each member of the population has an equal chance of being selected.
◦Does choosing alumni end up in a random sample? - ANS-Random Sample
Lists categories (or classes) along with counts (or frequencies) of the number of
observations that fail into each category. - ANS-Frequency table
Range = highest observation - lowest observation - ANS-Range
class width = range/number of classes
round up, even (whole number without a decimal) remainder add an extra class (instead
of 7 we will use 8 classes) - ANS-Determining class width
sum of the frequency of that class and all previous classes - ANS-cumulative frequency
the proportion of observations/scores that fall in that class - ANS-relative frequency
=class frequency/sum of all frequencies - ANS-relative frequency
Numerical measures - ANS-can be created for both populations and samples
is a numerical measure of a population - ANS-parameter
is a numerical measure of a sample. - ANS-statistic
