October 4th, 2012

Review for test! FOCUS ON THE LECTURE (ONLY UP TO SAMPLING)
Written, definitions, short answer, much like lab
o Measurement  name/identity levels, explain differences b/w levels, error
random/systematic
o Descriptive stats Central te
Janice (Elisabeth) Sartorius
V00700372
Lab: Tuesday 10301220
Christos Koulas
Geography 226
Lab 4
1. a. Determine the best estimate of average number of bacteria per 100 ml in the
reservoir. (1)
The best estimate of the average number of bacteria per 100
Janice (Elisabeth) Sartorius
V00700372
Christos Koulas
Lab: Tuesday 10:3012:20
Descriptive Statistics
Lab 1
1.Classify the variables below (indicate whether they are qualitative or quantitative,
discrete or continuous and the level of measurement): (5 ma
Janice Elisabeth Sartorius
Christos Koulas
B03
Geog 226
LAB 9
1. Explain the fundamental difference between correlation and regression.
A correlation analysis is when you are concerned with knowing whether there is a
relationship between variables, where
Janice Elisabeth Sartorius
V00700372
Christos Koulas
B03
Lab 8
Correlation
1.As a medical geographer, you are investigating geographic trends in mortality. You
have focused your research on mortality due to lung cancer and circulatory disease on
southern
Janice Elisabeth Sartorius
V00700372
Christos Koulas = B03
Lab 5
Hypothesis Testing
1. In hypothesis testing, it is important to state that one "cannot reject" the null hypothesis
rather than state that the null hypothesis "can be accepted." Explain why t
Janice (Elisabeth) Sartorius
V00700372
Christos Koulas
B03
Geography 226
Sampling
1.
Probability: (4)
a.
Mozart wrote 27 piano concertos and 41 symphonies. How many ways are
there to listen first to a Mozart piano concerto and then to a symphony?
27 x 41
Janice Elisabeth Sartorius
Christos Koulas
B03
Lab 2
Probability
1.
30 percent of all passengers who fly from Vancouver to Toronto fly on White
Knuckle Air. Airlines misplace luggage for 24% of their passengers; 95% of this lost
luggage is subsequently re
October 22 Lecture Correlation

Correlation DOES NOT EQUAL causation

Correlation = relationship, causation = variable x causes variable y to behave in a
certain way

Important to identify the assumptions and consider the fact that the correlation
coul
October 18th Lecture Notes

One sample t test = compares a sample mean to a population mean that is
either known OR gas a hypothesized value
o Assumptions:
Data are interval or ratio
Population that the sample is drawn from is normally distributed

Tw
Geo 226 Notes
September 13, 2012

Which ice cream do you prefer? Chocolate, mint, strawberry, vanilla
o Nominal measurement BECAUSE the numbers dont mean anything we
assign numbers 1, 2, 3, 4 but we cant gain any relationships from them

Size (ha) of Pa
September 20, 2012

Population parameters and sample statistics
2 types of inference:
o Estimation (determine the approximate value of a population parameter)
and hypothesis testing
o

Steps in the sampling process:
o Define population
o Construct the s
September 17, 2012 Probability

Conditional probability depends on a couple factors (different probabilities of
being killed whether you are in bounds our out of bounds when skiing)

Probability indicates the strength of your conviction that an event wi
September 24th, 2012

Sampling Distribution of a Statistic (SDS)
o We want our sample to be representative of the entire population
o SDS can be developed by taking ALL possible samples of SIZE N from
a population, calculating the value of the statistic
September 27th, 2012 Lecture

Normal distribution is Z or t when r (degrees of freedom) = infinite
Degrees of freedom (1 less than the sample size)
Alpha = whatever tail youre looking at NEED HELP WITH! = alpha is the
significance level (the probability
Janice Elisabeth Sartorius
V00700372
Christos Koulas = B03
Lab 7: Difference of Means
1. All difference of means test specify that the sample data are drawn from populations
that are normally distributed. In the lab questions below, we will assume that ou