Bivariate Correlation aka Zero-Order Correlations
(Only btwn 2 variables)
w correlations u wont see raw data.
-Measures the strength of the LINEAR relationship btwn 2 variables
-correlation is abbreviated with r
-if r=0, then no linear relationship, BUT m
Population: set of units (usually ppl, objects or events) ex: grad class at uwo
variable characteristic of a population unit
quantitative variable - How much/how many (starting salary & measure of fuel efficiency)
About standard errors, type 1 and 2 errors.
Probability & Samples
W/ respect to sample sizes, Bigger is better
-samples are always estimates of the population & larger samples are closer to the actual population
-sampling error = di
Discrete random variables
Possible values can be counted or listed.
for example: # of defective units in a batch of 20 manufactured products. Or ~a rating (on a scale of 1 to
5 in a survey.
discrete = literally counting whole units
has to be a whole numbe
TIME SERIES FORECASTING
-Time = chronological order (going forward in time)
-examines observations over time (like measuring ur height overtime on a wall). Were gunna be
measuring the same thing overtime to see if theres any changes
-is a special type of
Inferential stats involves estimating what the population is like (an unknown pop. Status)
Confidence intervals highlights the degree of error.
Issues involve the n-size (larger n then closer to population and greater confidence in es
(1) the range of scores are they in a legit range (cant be 2 y/o)
(2) if scores are clustered or grouped together
(3) if outliers are present in the data (something outside of the range is an outlier can be real sometimes)
Population and samples
Population: set of existing units (ppl, objects, or events)
Variable: measurable characteristic of the population. How you measure something differs in terms of
how valid it is.
Census: an examination of the entire population of mea
Members of Association
1) Multinomial probabilities (1 IdependentVaribles)
2) Contingency Tables (2 or more IV)
Independent variable the control variable. What the experimenter has set up.
- are the probabilities of eve
Ch2 descriptive stats
2.1 2.5, 2.7, & 2.8
Range: largest measurement minus smallest measurements
Population variance (sigma squared): average of the squared deviations of the individual population
measurements from the mean
Population Standard deviation (
MOS 2242A Statistics for MOS
Course Outline: Section 001 / Fall 2016
1. Course Information
Class Location and Time
Day & time:
Friday 9:30am-12:30pm (3.0 hours)