Estimation Flashcards
will be used to estimate the average income of the entire households in the city
sample mean
. In other words, when a parameter of a given population is unknown, a sample data can be collected and used to make an ___of that unknown parameter.
estimate
is the use of a suitable statistic and computes its value from a given sample data
point estimation
The statistic use is called the
point estimator
and the value of the statistic is called the
point estimate
is the point estimator of the of the population parameter mean µ.
x ̅
formula for sample mean
check reviewer
is the estimator of the of the population parameter proportion
p hat
formula of p hat
check reveiwer
interval estimation for the population mean is used when (3)
(a)the population variance is known,
(b) the population variance is unknown, and
(c) the Central Limit Theorem is to be used.
is the use of sample data to calculate a range of possible values for an unknown population parameter
interval estimation
Unlike the point estimation that uses single value, interval estimation uses
interval value
In practice, interval estimation is a better way to estimate parameters than point estimation due to
sampling error
In the Philippines the National Statistics Office (NSO) conducts census every after ___years.
three
provide parameters that characterizes the status of the country. Examples are gender statistics, average household income, average household size, etc. However, this process requires a lot of time and resources.
census
NSO meaning
National Statistics Office
The interval 11320≤μ≤22580 is the
confidence interval
The lower limit of the interval, 11320, and the upper limit, 22580, are called the
confidence limits
. The 95% level of confidence is called the
confidence level
usual confidence level if no given
0.05
The 5% level of error committed in estimating the mean is known as
alpha (a)
is used to calculate an interval of possible values of the unknown population mean, µ, using sample data with some degree of confidence
interval estimation
fomrula for confidence interval (z-table)
check your reviewer
Given the following: x ̅=10, σ2=9, n=64
Z0.025 = 1.96
=9.265≤μ≤10.735
states that as the sample size n increases or becomes large the sampling distribution of the mean approaches normal distribution.
central limit theorem
We can assume that s2 = σ2 holds true when the sample size is large enough
how much n
n>30
Because of this assumption, when the variance σ2 is unknown but the sample size is large, the ____ can be used to replace the σ2 in calculating confidence interval for mean µ.
sample variance
is a probability distribution use to estimate population means when the sample size is small and variance is unknown but the distribution is assumed to be normal
t-distribution
or student’s t-distribution
who derived t-distribution
William S. Gosset (1908)
formula for t-statistic
see formula in reviewer
formula of confidence interval using t-test
see reviewer
states that if a sample of size n (sufficiently large enough) is randomly selected from a population of size N, and the number of x successes are observed, then the sampling distribution of the proportion p ̂ approaches a normal distribution
central limit theorem
. Note that n is sufficiently large if
np≥10 and n(1-p)≥10
population proportion formula
see reviewer
confidence interval for population proportion p
see reviewer for details
is the difference of the lower limit and the upper limit of the confidence interval.
length of an interval
length of an interval formula
Length=UL-LL
error formula
see reviewer
is any statistic whose value is used to estimate an unknown parameter
estimator
a realized value of an estimator is called an
estimate
single value used to represent the parameter of interest
point estimate
it corresponds to a single point in the real number line
point estimate
a rule that tells us how to calculate two numbers based on a sample data, forming an interval within which the parameter is expected to lie
interval estimator
pair of numbers (a,b) is caled an
interval estimate
degree of certainty attached to an interval estimate for the unknown paramter
1-a