EXST 2201 LSU EXAM QUESTIONS AND ANSWERS WITH
COMPLETE SOLUTIONS RATED A++
Two types of quantitative date
1. Discrete
2. Continuous
Discrete data
Whole number, countable on your hands
example: number of people, how many shoes you have
Continuous data
Can have any number of digits, has a wide range
example: weight, height, number of seconds
Qualitative data
Data that deals with a quality that cannot be measured
example: colors, yes or no
Stratified study
population is separated into groups, from there a certain number of random people are
chosen from each group
Designed Experiment
Testing on something with a desired result
example: medical drug testing to cure a cold, effect of tutoring on grades of students
News study
, DOES NOT EXIST (MADE UP TO FOOL YOU)
Observational Study
Not applying anything to the group, just getting data from them
example: a political poll
Matched Pair Study
Same people participating in designed study before and after, or one person from one
of two groups being compared to someone from the same group
example: cold symptoms being tested before and after cold medicine was given to
participant
Double Blind
Neither the person testing or the person being tested knows who has been given what
treatment
example: one doctor gives medicine to patient A and a placebo to patient B (but does
not know which patient received which treatment) then tests their symptoms after some
time. This helps to create bias with the tester
Relative Frequency
percentage or fraction of the frequency of a certain category
equation: frequency/ total number
Cumulative Frequency
Sum of all frequencies including the stated category and the ones before
equation: frequency of stated category and all frequencies stated before/ total number
Pareto Chart
COMPLETE SOLUTIONS RATED A++
Two types of quantitative date
1. Discrete
2. Continuous
Discrete data
Whole number, countable on your hands
example: number of people, how many shoes you have
Continuous data
Can have any number of digits, has a wide range
example: weight, height, number of seconds
Qualitative data
Data that deals with a quality that cannot be measured
example: colors, yes or no
Stratified study
population is separated into groups, from there a certain number of random people are
chosen from each group
Designed Experiment
Testing on something with a desired result
example: medical drug testing to cure a cold, effect of tutoring on grades of students
News study
, DOES NOT EXIST (MADE UP TO FOOL YOU)
Observational Study
Not applying anything to the group, just getting data from them
example: a political poll
Matched Pair Study
Same people participating in designed study before and after, or one person from one
of two groups being compared to someone from the same group
example: cold symptoms being tested before and after cold medicine was given to
participant
Double Blind
Neither the person testing or the person being tested knows who has been given what
treatment
example: one doctor gives medicine to patient A and a placebo to patient B (but does
not know which patient received which treatment) then tests their symptoms after some
time. This helps to create bias with the tester
Relative Frequency
percentage or fraction of the frequency of a certain category
equation: frequency/ total number
Cumulative Frequency
Sum of all frequencies including the stated category and the ones before
equation: frequency of stated category and all frequencies stated before/ total number
Pareto Chart
