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STATISTICAL INFERENCE
REPRESENTATORS : SAFIULLAH
STATISTICS
1) DESCRIPTIVE 2) INFRENTIAL
ESTIMATION OF PARAMETER
TESTING OF HYPOTHESIS
POINT ESTIMATION INTERVAL ESTIMATION
ESTIMATION OF SIGNAL VALUE
ESTIMATION OF SIGNAL VALUE
Statistical Inference:
The process of drawing conclusion about the
whole population on the basis of information obtained from sample taken from the
population is called infrential statistics.it is a major branch of Statistics.
Types of Statistical Inference:
there are two types:
1) Estimation of Parameter
2) Testing of Hypothesis
Testing of Hypothesis:
The procedure which enable us whether to accept or reject a
statement or assumption made about the whole population parameter by
using sample observation.
Estimation of Parameter:
The process by which we obtained an estimate
of unknown value of the population parameter by using sample observation is
called estimation.
we can estimate the population mean µ by sample mean X.
there are also two types of estimation of parameter
1) Point estimation
2) Interval estimation
TYPES OF ESTIMATION OF PARAMETERS
Point Estimation:
when an estimate for the unknown population
parameter is expressed by a single numerical value is called point
estimate and the process is called point estimation
Example: a sample of size yielded the value 8,4,10,5,5,4,9,4,3,7
Estimate the population mean
Sol: the point estimation of Population mean is X,
X= Ʃx/n
X=8+4+10+5+5+4+9+4+3+7 /10
X=5.9
Interval Estimation:
when an estimate is expressed by the range of
values is called the interval estimate and the process is called interval
estimation.
e.g if we wish to estimate temperature of a place and we state the
temperature is 29˚C then it is called point estimation
and if we state that temperature is in between 20˚C and 30˚C so it is
called interval estimation.
Estimate and Estimator:
An estimate is a numerical value of parameter obtained by
applying certain rules or formula and the formula which is used for
estimation process is called Estimator.
( X = Ʃx/n) = 5.9
Estimation Estimate
Statistical inference 2

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Statistical inference 2

  • 2. STATISTICS 1) DESCRIPTIVE 2) INFRENTIAL ESTIMATION OF PARAMETER TESTING OF HYPOTHESIS POINT ESTIMATION INTERVAL ESTIMATION ESTIMATION OF SIGNAL VALUE ESTIMATION OF SIGNAL VALUE
  • 3. Statistical Inference: The process of drawing conclusion about the whole population on the basis of information obtained from sample taken from the population is called infrential statistics.it is a major branch of Statistics. Types of Statistical Inference: there are two types: 1) Estimation of Parameter 2) Testing of Hypothesis
  • 4. Testing of Hypothesis: The procedure which enable us whether to accept or reject a statement or assumption made about the whole population parameter by using sample observation.
  • 5. Estimation of Parameter: The process by which we obtained an estimate of unknown value of the population parameter by using sample observation is called estimation. we can estimate the population mean µ by sample mean X. there are also two types of estimation of parameter 1) Point estimation 2) Interval estimation
  • 6. TYPES OF ESTIMATION OF PARAMETERS Point Estimation: when an estimate for the unknown population parameter is expressed by a single numerical value is called point estimate and the process is called point estimation Example: a sample of size yielded the value 8,4,10,5,5,4,9,4,3,7 Estimate the population mean Sol: the point estimation of Population mean is X, X= Ʃx/n X=8+4+10+5+5+4+9+4+3+7 /10 X=5.9
  • 7. Interval Estimation: when an estimate is expressed by the range of values is called the interval estimate and the process is called interval estimation. e.g if we wish to estimate temperature of a place and we state the temperature is 29˚C then it is called point estimation and if we state that temperature is in between 20˚C and 30˚C so it is called interval estimation.
  • 8. Estimate and Estimator: An estimate is a numerical value of parameter obtained by applying certain rules or formula and the formula which is used for estimation process is called Estimator. ( X = Ʃx/n) = 5.9 Estimation Estimate

Editor's Notes