Quality Inspector Certification
parameters - ANS-Measures computed by data describing an entire population
statistics - ANS-numerical measures computed by using sample data
measures of central tendancy (or centrality) - ANS-information about the center of data
measures of dispersion - ANS-information about the variation within the data
measures of percentage - ANS-tell us what percentage of the data falls within some specific
interval or intervals.
mean (or arithmetic mean) - ANS-most useful and common measure of centrality.
calculated by taking the sum of data measurements and then dividing the sum by the number of
measurements in a sample or population data.
population mean - ANS-average of the numbers obtained for all members in a population
sample mean - ANS-average of the numbers obtained from a sample of a population
extreme values (or outliers) - ANS-measurements that are very large or very small
median - ANS-the second most used means of measuring centrality.
step 1) arrange data in ascending order and rank from 1 to n.
step 2)Find the rank of the median, which is equal to (n+1)/2.
step 3)Find the value to the corresponding rank (n+1)/2 of the median. This value repesents the
median of the data set.
mode - ANS-the value that occurs most frequently within a data set and is the least used
measure of centrality.
symmetric data set - ANS-the values in the data set are equidistant from the mean and occur
with equal frequency.
Mean=Median=Mode
left-skewed data set - ANS-the values of the data set that are greater than the median occur
with higher frequency than those that are smaller than the median.
Mean<Median<Mode
right-skewed data set - ANS-the values of the data set that are smaller than the median occur
with higher frequency than those that are higher then the median.
parameters - ANS-Measures computed by data describing an entire population
statistics - ANS-numerical measures computed by using sample data
measures of central tendancy (or centrality) - ANS-information about the center of data
measures of dispersion - ANS-information about the variation within the data
measures of percentage - ANS-tell us what percentage of the data falls within some specific
interval or intervals.
mean (or arithmetic mean) - ANS-most useful and common measure of centrality.
calculated by taking the sum of data measurements and then dividing the sum by the number of
measurements in a sample or population data.
population mean - ANS-average of the numbers obtained for all members in a population
sample mean - ANS-average of the numbers obtained from a sample of a population
extreme values (or outliers) - ANS-measurements that are very large or very small
median - ANS-the second most used means of measuring centrality.
step 1) arrange data in ascending order and rank from 1 to n.
step 2)Find the rank of the median, which is equal to (n+1)/2.
step 3)Find the value to the corresponding rank (n+1)/2 of the median. This value repesents the
median of the data set.
mode - ANS-the value that occurs most frequently within a data set and is the least used
measure of centrality.
symmetric data set - ANS-the values in the data set are equidistant from the mean and occur
with equal frequency.
Mean=Median=Mode
left-skewed data set - ANS-the values of the data set that are greater than the median occur
with higher frequency than those that are smaller than the median.
Mean<Median<Mode
right-skewed data set - ANS-the values of the data set that are smaller than the median occur
with higher frequency than those that are higher then the median.
