SAMPLING + PROBABILITY DISTRIBUTION TABLE (PDT)

Question 1

graphical representation of rate of possible outcomes

Answer 1

probability histogram

Question 2

area of each bar represents probability of each random variable x

Answer 2

probability histogram

Question 3

Expected Value (E(x)) Formula

Answer 3

summation(x*p(x))

Question 4

Variance Formula (PDT)

Answer 4

summation[x_i^2 * P(x)] - u^2

Question 5

selecting sample size (n) from population (N) so all elements have EQUAL chance of being part of sample

Answer 5

simple random sampling

Question 6

selecting a sample for every Nth interval in population

Answer 6

systematic random sampling

Question 7

dividing into categories

Answer 7

stratified random sampling

Question 8

dividing population into “clusters”, then RANDOMLY taking samples and measuring all units within

Answer 8

cluster random sampling

Question 9

table used to organize data that can be associated with different categories

Answer 9

frequency distribution table (FDT)

Question 10

table used when PSD (sigma) is known

Answer 10

z-table

Question 11

table used when PSD (sigma) is unknown

Answer 11

t-table

Question 12

used to determine the weighted average of all possible values of ranvar and corresponding probabilities as weight

Answer 12

sample population (µ)

Question 13

µ

Answer 13

population mean

Question 14

x̄

Answer 14

sample mean