MATH 1F92 - Assignment # 4
Due: Friday, Noverm 13, 2015 by 11:00 AM
Assignments must have a cover page (refer to the course outline). Please write on
one side of the page only and show ALL your work.
6.3- The Poisson Distribution
Another very common discrete distribution is called the
poisson distribution. The Poisson distribution counts the
number of occurrences as a success (X) in some interval
9.1- Estimating a Population Proportion Part 2
Fromthepreviouslecture,wenowhaveawayofestimatingwhereabouts
thepopulationproportionmaylie.
Letsreview:
Forasampleproportiontobenormallydistributed,2condi
9.1- Estimating a Population Proportion Part 1
AsweveseeninChapter8,ifwewantedtogetanideaoftheproportionofpeople
inapopulationwhowereinfavourofsomething(i.e.havingtherighttobare
arms),p,wewouldtakeasa
11.1- Inferences about Two Population Proportions
StepsforHypothesisTestingRegardingtheDifferenceofTwo
PopulationProportions p1 and p2
Step0:VerifyingNormality
Ensurethefollowing:
Thesamplesareindepe
6.2- The Binomial Distribution
Duringthepreviouslecture,we
lookedatthedefinitionofdiscrete
distributionsandwhatitmeansto
actuallyhaveadistributionwhichis
discrete.
Thereareactuallyseveralcasesof
speci
9.2- Estimating a Population Mean
Inpreviouslectureswehavefoundwaystoestimatethepopulation
proportionbyusingapointestimateofthepopulationproportion?
Ifwewantedtouseapointestimatetoestimate ,whatdoyout
November 9, 2016
7.1b- Introduction to the Normal Distribution
In the previous lecture, we looked at the uniform distribution,
which was a probability density function for having an equal
probability
November 21, 2016
7.4- Normal Approximation to the Binomial Distribution
RECALL:
TheBinomialDistribution
Ifyouhavennumberoftrials,withtwooutcomes(successorfailure)that
aremutuallyexclusive,andeachtria
1. Excel Obtain a scatter diagram of the data (PROF BEAUTY VS PROF EVAL). Make sure that the
correct variable is placed on the vertical axis
a) Excel To find the equation of the regression line and th
5.3: Independence and the Multiplication Rule
INDEPENDENCE
What does it mean for two events to be
independent of one another?
Lets think about how we think about being
dependent and independent in our
7.1b- Introduction to the Normal Distribution
In the previous lecture, we looked at the uniform distribution,
which was a probability density function for having an equal
probability for any interval
7.2b- Finding Z-Scores and Percentiles of the Standard
Normal
Sometimes, rather than finding the probability of our random
variable being between two values, we prefer to find the actual
raw score tha
MATH 1F92 - Assignment # 2
Due: Friday, October 9, 2015 by 11:00 AM
Assignments must have a cover page (refer to the course outline). Please write on
one side of the page only and show ALL your work.
MATH 1F92 - Assignment # 3
Due: Friday, October 30, 2015 by 11:00 AM
Assignments must have a cover page (refer to the course outline). Please write on
one side of the page only and show ALL your work.
7.2a- Finding Probabilities using the Normal Distribution
If we have a random variable that we think may have a normal
distribution (or is approximately normally distributed), the area
underneath the
Review of Sampling Distributions
With all weve learned thus far, it can become very confusing trying to identify
which sampling distribution to reference, what the different notations mean,
and what i
5.3: Conditional Probability and the General
Multiplication Rule
THE MONTY HALL PROBLEM
Lets suppose we are on the game show Lets Make a Deal.
Now in this game show, there are 3 big doors- Door number
5.3: Independence and the Multiplication Rule
INDEPENDENCE
What does it mean for two events to be
independent of one another?
Lets think about how we think about being
dependent and independent in our
7.4- Normal Approximation to the Binomial Distribution
RECALL:
TheBinomialDistribution
Ifyouhavennumberoftrials,withtwooutcomes(successorfailure)that
aremutuallyexclusive,andeachtrialiscompletelyindep
7.2a- Finding Probabilities using the Normal Distribution
If we have a random variable that we think may have a normal
distribution (or is approximately normally distributed), the area
underneath the
7.1a- Continuous Random Variables and Uniform
Distribution
Thus far, weve only looked at finding the probability for discrete
random variables
Review:
Discrete Random Variables: A
discrete random vari
9.3- Estimating a Population Standard Deviation
Sofarwehavelookedatestimatingthepopulationparametersfor:
Populationproportion, p andpopulationmean .Butwhatabout
Populationvarianceandstandarddeviation,
MATH 1F92 - Assignment #1 Solution
Due: Friday, September 25 by 11:00 AM
Assignments must have a cover page (refer to the course outline). Please write on
one side of the page only and show ALL your w