albert morlan caitrin carroll savannah andrews richard saney
TRANSCRIPT
Albert MorlanCaitrin Carroll
Savannah AndrewsRichard Saney
Variables
Here are some variables that you need to know:Sample Mean:Population Mean:Sample Proportion: Sample Standard Deviation:Population Standard Deviation: Sample Size: n
X
X
xSX
p̂
Review from Last Year A statistic comes from a sample. A
parameter comes from a population. Standard deviation is the average distance
from the mean. Quantitative data has a numerical value.
Qualitative data does not. Z-Scores are used to calculate area below
that point on a normal distribution curve. These show the amount of standard deviations
a statistic is from the mean.
Sampling Distribution
A distribution of all possible values of the mean from a given sample size
The mean of the sampling distribution is a good estimator of the mean of the population.
The standard deviation of the sampling distribution is :
Or for qualitative data:
X
xS
nˆ ˆ(1 )p p
n
T-Distribution• The T-Distribution is used when you don’t
have the standard deviation of the population. The standard deviation is replaces by the standard area of the mean of the sample. It is only used for quantitative data.
• The T-Distribution varies for each sample size, and the distribution is determined by the degrees of freedom. The more degrees of freedom, the more normal the distribution.
• df=n-1
T-Distribution (cont)
In a T-Distribution there is more area in the tails than in that of a Normal Distribution (Z-Distribution).
Central Limit Theorem (CLT) Not all sampling distributions are
normally distributed. The CLT states that the larger the
sample size gets, the more normal the sampling distribution becomes.
Estimating the Mean
To estimate the mean of the population from a single sample, perform a confidence interval.
To perform a confidence interval, P.A.N.I.C
P.A.N.I.C PANIC is a acronym that stands for:
ParameterAssumptionsName the intervalInterval (actually do it)Conclude in context
Parameters
Name the parameters of the distributionEx: is the true population mean grade
of students in Coach Whitt’s classEx: px
X
Assumptions
Several Conditions have to be met to run a confidence interval:The data has to have come from a simple
random sample○ This is usually given in the problem. If not,
you have to assume this is true.
Assumptions (con’t)The sampling distribution has to be
approximately normal○ If the data is quantitative, construct a normal
probablity plot ( a graph of data against it z-scores)If the sample size is large (greater than 30), normal it
is ensured by the CLT○ If the data is qualitative, there has to be at
least 10 “successes” and ten “failures”.Each data point has to be independent
○ If the population size is at least ten times greater than the sample size, independence is ensured.
Name the Interval
Decide which interval will be usedIf the data is quantitative, use a 1-sample t
intervalIf the data is qualitative, use a 1-proportion z
interval
Also, determine the desired confidence level.How confident do you want to be is your
estimation?
Interval The formula for the confidence interval is:
(test statistic) (margin of error) Test statistic is the value obtained by the
sample (either or )
X p̂
Interval (con’t)
(1-confidence level)
2
Margin of error is (critical value * standard deviation)
Critical ValueFor quantitative data, t*For qualitative data, z*
○ Both obtained either from the table or from the calculator (invNorm(area) or invT(area, degrees of freedom) Area =
Statdard deviation is that of sampling distribution
Conclude in Context
Be sure to write a conclusion is context of the problem
Ex: I am 95% confident that the true mean grade of students in Coach Whitt’s class is between 80 and 90.