Acceptance Sampling Introduction:-
The focus of acceptance of sampling is to accept or reject the lot based on the samples
without quantifying the quality of the products or processes. many of the concepts which we
will be talking here will be covered in much more detail in later sections. three is the
acceptance number , four is the rejection number. the fate of this lot is decided by this
sample of 80 pieces. three or less we accept , 4 or more , we reject this whole lot without
going into the details of what is the type of quality in that lot.
Sample vs Population:-
The bigger circle is the population and the smaller circle in that is the sample.. population is
the bigger thing and sample is the smaller thing.. statistics is the branch of mathematics
which use study. the characteristic of the sample is called as statistic and the characteristic
of population is called parameter. many times, you can not test or check everything. many
times, you need to take samples because you want to save some time and cost. if
population is too large, it 's not easy to find out or check the whole population. what you can
do is take some samples and destroy those pieces and based on that, you guess about the
population.. sampling is not 100 percent correct; it is not foolproof.
Sampling Errors:-
Acceptance sampling is based on chance as you go further into this course.. good lot is
where defective rate is less than 1. 5 percent, and bad lot is greater than 5 percent..
acceptable quality limit is that if quality is better than that, you will straight away accept that.
rejectable quality limits. In this particular example, we said, it 's 5 percent of defectives.
inbetween that, I still leave the chance your lot might get accepted. Type 1 error is producer
's risk and type 2 error is consumer's risk. these are the two bytes of error which can happen
when you use acceptance sampling. so, to understand these, which one is which, I use that
type one error is a false alarm.. false alarm is when even though everything was fine, but
that raise false alarm that the lot is defective. Type 1. lot is defective. Type 1 error is
producer 's risk or the producers risk because this is a false alarm.. Type 2 error is usually
controlled by changing the sample size.. beta error will be where you missed that fire. in
case of cold judgment, when a criminal comes to court, when innocent is declared as guilty,
this is type 1 error.
Standards:-
There are two types of acceptance sampling, attribute and variable attributes are count
numbers. attribute sampling is attribute sampling and variable sampling is variable
sampling.. dodge roaming plan is another plan which is called as Dodge Roam plan. We will
be talking briefly about this plan as well, but most of our lectures will be based on military
standards. we will learn about one more thing called as OC curve operating characteristic
curve let 's look at these aspects step by step music. We will also learn about how to use the
definition of acceptable quality limit and rejectable quality limit. we will then learn about
another thing called OC curve.
AQL:-
Acceptance sampling is based on the level of defect rate which we wish to accept here. Let
's say we have taken an example of 1. 5 percent defectives in that lot. but when we pick the
sample sometimes from that lot sometimes you might get less than 1. 5 percent defects. the
problem with ceptin sampling. In ideal case, what we think is that if that lot has 1. in the ideal
case, the probability of accepting a lot which has less than 1. 5 percent defective is 1.. In
reality, the probability is zero and in reality you will have kuru something like this and we will
come to this that how we plotted this curve so this is our OC curve or operating
characteristic.
The focus of acceptance of sampling is to accept or reject the lot based on the samples
without quantifying the quality of the products or processes. many of the concepts which we
will be talking here will be covered in much more detail in later sections. three is the
acceptance number , four is the rejection number. the fate of this lot is decided by this
sample of 80 pieces. three or less we accept , 4 or more , we reject this whole lot without
going into the details of what is the type of quality in that lot.
Sample vs Population:-
The bigger circle is the population and the smaller circle in that is the sample.. population is
the bigger thing and sample is the smaller thing.. statistics is the branch of mathematics
which use study. the characteristic of the sample is called as statistic and the characteristic
of population is called parameter. many times, you can not test or check everything. many
times, you need to take samples because you want to save some time and cost. if
population is too large, it 's not easy to find out or check the whole population. what you can
do is take some samples and destroy those pieces and based on that, you guess about the
population.. sampling is not 100 percent correct; it is not foolproof.
Sampling Errors:-
Acceptance sampling is based on chance as you go further into this course.. good lot is
where defective rate is less than 1. 5 percent, and bad lot is greater than 5 percent..
acceptable quality limit is that if quality is better than that, you will straight away accept that.
rejectable quality limits. In this particular example, we said, it 's 5 percent of defectives.
inbetween that, I still leave the chance your lot might get accepted. Type 1 error is producer
's risk and type 2 error is consumer's risk. these are the two bytes of error which can happen
when you use acceptance sampling. so, to understand these, which one is which, I use that
type one error is a false alarm.. false alarm is when even though everything was fine, but
that raise false alarm that the lot is defective. Type 1. lot is defective. Type 1 error is
producer 's risk or the producers risk because this is a false alarm.. Type 2 error is usually
controlled by changing the sample size.. beta error will be where you missed that fire. in
case of cold judgment, when a criminal comes to court, when innocent is declared as guilty,
this is type 1 error.
Standards:-
There are two types of acceptance sampling, attribute and variable attributes are count
numbers. attribute sampling is attribute sampling and variable sampling is variable
sampling.. dodge roaming plan is another plan which is called as Dodge Roam plan. We will
be talking briefly about this plan as well, but most of our lectures will be based on military
standards. we will learn about one more thing called as OC curve operating characteristic
curve let 's look at these aspects step by step music. We will also learn about how to use the
definition of acceptable quality limit and rejectable quality limit. we will then learn about
another thing called OC curve.
AQL:-
Acceptance sampling is based on the level of defect rate which we wish to accept here. Let
's say we have taken an example of 1. 5 percent defectives in that lot. but when we pick the
sample sometimes from that lot sometimes you might get less than 1. 5 percent defects. the
problem with ceptin sampling. In ideal case, what we think is that if that lot has 1. in the ideal
case, the probability of accepting a lot which has less than 1. 5 percent defective is 1.. In
reality, the probability is zero and in reality you will have kuru something like this and we will
come to this that how we plotted this curve so this is our OC curve or operating
characteristic.
