Term 1 of 73
The sample proportion , is the point estimator of the:
population proportion, p.
population of the USA
the population is first divided up into mutually exclusive and collectively exhaustive
groups, called clusters. a cluster sample includes observations from randomly selected
clusters.
the tendency of a sample statistic to systematically over or under estimate a population
parameter.
Term 2 of 73
Statistics involve: Descriptive statistics which is?
describing the data, usually in a tabular or graphical format.
ignoring the data and making assumptions.
conducting experiments to gather data.
making predictions about the future.
Term 3 of 73
True or False: The standard error of x ̅ and p ̅ DECREASES as we INCREASE n
a normal distribution whenever the sample size is 30 or more
True, because when you increase the sample size you decrease variability.
the distribution of the x ̅ and p ̅ becomes approximately normal.
Remove as much Bias as possible to get a good sample
,Term 4 of 73
A Population?
the average of a set of numbers.
consists of all items of interest in a statistical problem.
a group of people living in a specific area.
the result of a mathematical equation.
Term 5 of 73
A sample(statistic) is used to:
determine the sample size needed for a study.
calculate the mean of a dataset.
make inferences about a unknown population parameter.
identify outliers in a dataset.
Term 6 of 73
Symbols: u
sep ̅=σp ̅= sqrt p(1-p)/n
is the mean for the population
e(x ̅)= mean
if you know what the whole pizza looks like, then i can tell you how likely certain pieces
are to occur.
Term 7 of 73
With sampling distribution, as n (sample size) increases:
estimator
e(x ̅)= mean
True, because when you increase the sample size you decrease variability.
the distribution of the x ̅ and p ̅ becomes approximately normal.
,Term 8 of 73
Sample distribution Properties: Sample Proportion formula
Up ̅=p(true proportion)
E(x ̅)= mean
True
Σx ̅
Term 9 of 73
Symbols: s
ux ̅=u
sep ̅=σp ̅= sqrt p(1-p)/n
if you know what the whole pizza looks like, then i can tell you how likely certain pieces
are to occur.
is the sample standard deviation
Term 10 of 73
The mean is also known as:
Standard Deviation
Expected Value
Variance
Standard Error Of The Mean
, Term 11 of 73
Point Estimation is?
the population is first divided up into mutually exclusive and collectively exhaustive
groups, called clusters. A cluster sample includes observations from randomly selected
clusters.
the procedure to determine the sample mean, standard deviation and proportion is
known as point estimation. The values that are determined are known as the point
estimate.
you would get a normal bell curve with the most frequent observations being near the
mean of the population and the proportion of the population.
statistical inference
Term 12 of 73
Examples of a finite population:
the population is first divided up into mutually exclusive and collectively exhaustive
groups, called clusters. A cluster sample includes observations from randomly selected
clusters.
Estimator
Sep ̅=σp ̅= sqrt p(1-p)/n
They are often defined by list such as: Organization membership roster, Credit card
account numbers, and Inventory product numbers.
Term 13 of 73
The sampling distribution of x ̅has an:
sep ̅=σp ̅= sqrt p(1-p)/n
Expected Value
expected value or mean, a standard deviation, and expected shape.
estimator
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