PSYC 204- FINAL EXAM REVIEW |QUESTIONS & ANSWERS
VERIFIED SOLUTIONS 100%|GRADE A+|LATEST 2024/2025
µ - ✔✔the mean of a population (also mew)
Np - ✔✔the number of scores in the population
discrete variable - ✔✔limited number of values possible within the range of values
(ex. people, you cannot have 1½ people)
continuous variable - ✔✔all values are possible within the range of values
P or p - ✔✔proportion and/or probability
frequency distribution conventions - ✔✔-10-20 intervals each with a class width of
1, 2, 5, or 10 units
-start each interval with a multiple of the class width
-place the largest values at the top of the table
x - ✔✔deviation score (lower case)
range formula - ✔✔Xmax-Xmin (+1 may be used for continuous variables)
inconsistent estimate - ✔✔does not improve with increasing sample size
formula for Y estimate (Y') - ✔✔Y' = bX + a
residual or error of estimation - ✔✔Y-Y'
P(A∩B) - ✔✔P(A) × P(B) → if A and B are independent
P(B) × P(A|B) → if A and B are either dependent or independent
P(A∪B) - ✔✔P(A) + P(B) - P(A∩B)
P(A) + P(B) - 0 → if A and B are mutually exclusive
P(A|B) - ✔✔P(A∩B)/P(B)
VERIFIED SOLUTIONS 100%|GRADE A+|LATEST 2024/2025
µ - ✔✔the mean of a population (also mew)
Np - ✔✔the number of scores in the population
discrete variable - ✔✔limited number of values possible within the range of values
(ex. people, you cannot have 1½ people)
continuous variable - ✔✔all values are possible within the range of values
P or p - ✔✔proportion and/or probability
frequency distribution conventions - ✔✔-10-20 intervals each with a class width of
1, 2, 5, or 10 units
-start each interval with a multiple of the class width
-place the largest values at the top of the table
x - ✔✔deviation score (lower case)
range formula - ✔✔Xmax-Xmin (+1 may be used for continuous variables)
inconsistent estimate - ✔✔does not improve with increasing sample size
formula for Y estimate (Y') - ✔✔Y' = bX + a
residual or error of estimation - ✔✔Y-Y'
P(A∩B) - ✔✔P(A) × P(B) → if A and B are independent
P(B) × P(A|B) → if A and B are either dependent or independent
P(A∪B) - ✔✔P(A) + P(B) - P(A∩B)
P(A) + P(B) - 0 → if A and B are mutually exclusive
P(A|B) - ✔✔P(A∩B)/P(B)
