Statistics 1 Marks Each

When hidden periodicity in population coinsides with the selection of sample. The systematic random sample can be biased.

When the population is heterogeneous the use of stratified random sampling considered to be favourable or suitable.

A sample in which each unit is selected from the population without replacing the unit selected earlier in the population is called a sample without replacement.

If information of all the units of population is obtained, then it is called population inquiry.

Population inquiry involves more errors.

In systematic sampling method, units are selected from the population of uniform intervals.

Stratified random sampling should be used when each group considered has small variation within itself but there is wide variation between different group.

The measures such as mean, standard deviation, etc. calculated from the numerical data obtained from sample units are called sample statistics.

The measures for population such as population mean, Population standard deviation. etc. are called parameters of the population.

If the two - digit random numbers are given and population size is of three digits, then considering two-digits of a column and first digit of the next column the sample is selected.

If the three-digit random numbers are given and the population size is of two digits. then for selecting the sample, the first two digits of random numbers is considered.

Life of electric bulb is an example of an inquiry where units are destroyed during inspection.

When there is considerable amount of variation among the units of population, then it is called heterogeneous population.

The process by which inference about a population is made from sample information is sampling.

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Preference is given to sample inquiry instead of population inquiry because a population inquiry involves more time, money and manpower.

Systematic sample is not completely random sample.

As compared to simple random sampling and stratified random sampling, the systematic sampling requires less time and labour to select the sample.

The units of systematic sample are evenly spread over the population.

When all the units of population are arranged in some systematic manner and the complete list of population units is available, then it is advisable to use the systematic sampling.

The first unit of systematic sample is selected at random.

In stratified random sampling administrative convenience is more.

When stratification is not proper, then the reliability of the results obtained in stratified random sampling decreases.

When the number of units selected from the stratum is proportional to the size of stratum, then it is called proportional allocation.

When population is heterogeneous and the sample size is small, simple random sampling is not a good representative of population.

When the list of all units of population is not available the simple random sampling is not useful.

When the population is very large the work of selecting a random sample becomes tiresome.

In modern times a random sample is drawn using a mechanical device.

When all slips are similar in colour, size and shape, there will be no bias in lottery method.

The method of ‘random numbers tables’ is the scientific method of selecting a simple random sample.

When a population is homogeneous then a simple random sample can be a representative sample of population.

If the population is fairy homogeneous, simple random sampling gives reliable results.

For the purpose of sampling a population is considered as a group of various observations.

In determining the size of the sample, the expected level of accuracy of sample results is important.

The size of an ideal sample should be adequate and determined in an appropriate manner.

The main objective of sampling is to draw Inferences about the population characteristics on the basis of a sample inquiry.

The errors creep into the population inquiry because the population inquiry is extensive and complicated.

The process of selecting a few units from the total production to check the quality of the units produced is sampling.

Checking of one drop of blood from the body of a person to know the blood group of a person is sample inquiry.

A sample in which each unit is selected from the population after replacing the units selected earlier in the population is called a sample with replacement.