The method of sampling in which each unit of the population has an equal chance of being selected in the sample is
The hypothesis which is tested for possible rejection under the assumption that it is true is known as
The statistic T is said to be a consistent estimator of the population parameter Q if
The sampling is said to be large sampling if the size of the sample is
In na factory there are 48 employees with employee code from 1 to 48 the employer desires to take the sample of every sixth employeee under thge systematic sampling techique, the sample size will be
Sampling is a tool which helps to know the characteristics of the _______ by examining only a small part of it.
Standard Deviation of a Sampling Distribution is called ________.
If the Standard Error is 1/2, and the parameter of Normal population given to be S.D = 4 then , find the sample size?
Type II Errors are made while we accept a null hypothesis which is ___.
In order to test the quality of chalks, the best suitable method will be ____.
The standard deviation of the sampling distribution of a statistical distribution is a
If every 9th unit is selected from universal set then this type of sampling is known as:
Distribution formed of all possible value of statistics is called_________.
In sampling, standard deviations are known as:
For an unbiased estimator which of these is not an absolute condition.
When every member in population has an equal chance of being selection, then that sampling is called_________
The sample mean is:
For any unknown parameter, how many interval estimates exist?
The hypothesis which is tested for possible rejection under assumption that is known is:
If it is known that the 95% L.C.L and U.C.L to population mean are 48.04 and 51.96 respectively, what is the value of the population variance when the sample size is 100?
Except sampling error, other errors in sampling are:
If a random sample of 500 mangoes produces 25 rotten mangoes, then the estimate of S.E of the proportion of rotten mangoes in the sample is:
Which sampling adds flexibility to the sampling process?
A simple random sample of size 66 was drawn in the process of estimating the mean annual income of 950 families of a certain township. The mean and standard deviation of the samples were found to be Rs. 4730 and Rs. 7.65 respectively. Find a 95% confidence interval for the population mean:
In sampling, standard error is:
A population comprises of 20 members. The number of all possible samples if size 2 that can be drawn from it without replacement.
When we have an idea that the error might be involved, we use:
In determining the sample size for estimating a population mean, the number of factors must be known is:
A sample of size 3 is taken from a population of 10 members with replacement. If the sample observations are 1,3 and 5 what is the estimate of the standard error of sample mean?
Which sampling provides separate estimates for population means for different purposes and also an over all estimate?
A simple random sample of size 10 is drawn without replacement from a universe containing 85 units. If the mean 90 and S.D. 4 is obtained from the sample, what is the estimate of the standard error of sample mean?
For a given sample of 200 items drawn from a large population, the mean is 65 and the standard deviation is 8. Find the 95% confidence limits for the population mean:
Sampling fluctuations may be described as:
A random sample of 100 items taken from a large batch of articles contains 5 defective items. Set up 96 per cent confidence limits for the proportion of defective items in the batch:
A unbiased estimator:
If the population S.D. is known to be 5 for a population containing 80 units, then the standard error of sample mean for a sample of size 25 without replacement is:
The permissible sampling error is required to determine sample size for:
The criteria for an ideal estimator are:
In a marketing survey for the introduction of a new product in a town, a sample of 400 persons was drawn. When they were approached for sale, 80 of them purchased the product,. Find 95% confidence limits for the percentage of persons who would buy the product in the town:
A random sample of size 17 has 52 as mean. The variance is 160. The 99% confidence for the mean are: