Elementary Statistics in Criminal Justice Research Unit 3 Flashcards
Frequency distribution that has an end
Finite frequency distribution
Frequency distribution that keeps going constantly (conceptual and theoretical)
Infinite frequency distribution
- The curve is smooth
- Unimodal
- Symmetrical
- Mean=Media=Mode
- Interval data only
- 1 and 100% under the curve
- s distance btwn mean & other value
Characteristics of a Normal Frequency Distribution Curve (Normal Curve)
+/- 1 s of the mean
68.26%
+/- 2 s of the mean
95.44%
+/- 3 s of the mean
99.74%
The standard deviation unit for the standard normal distribution.
z score
Probability is about how accurate generalizations are.
Probability is about how accurate generalizations are.
Two uses of inferential statistics
- Estimate parameters
2. Test hypotheses
Populations have parameters
Samples yields statistics
number of observations/total number of possible observations
Probability of an event.
P(A)
P(A or B)=P(A) + P(B)
Rule of addition (probability)
P(A or B)=P(A) + P(B) - P(A-B)
Rule of addition (non-exclusivity)
=1-P(A)
Compliment of an Event or the probability of an event not occuring
P(A and B)=P(A) + P(B) (not A)
Rule of multiplication
The probability of the combination of independent events is equal to the product of their separate probabilities
Rule of multiplication
s/√n-1
standard error of the sample mean
range between highest and lowest
confidence interval
the end points of a confidence interval
confidence limits
Used when sample size is 30 or less
t score
Departure from symmetry
Skewness
peak of the curve is more to the right
negatively skewed
peak of the curve is more to the left
positively skewed
peak of the curve is in the center and symmetrical
normal curve
the peakedness of a curve/distribution
kurtosis
Almost flat curve
Platykurtic
Normal curve (skewness) what is it called?
Mesokurtic
Hi slim peak on a curve
Leptokurtic
The sum of a set of scores divided by the total number of scores in a set
mean
square root of the variance
standard deviation
a measure of variability that reflects the typical deviation from the mean
standard deviation
s/√n
standard error of the mean
mean+/- t/z (SE)
confidence interval
1-level of confidence
alpha
√P(1-P)/N
standard error of the proportion