Stratified sampling is a technique where the population is first divided into distinct subgroups or strata, which are based on specific characteristics that are relevant to the research question (e.g., age, income, or gender). Once these strata are identified, a sample is taken from each group, often in proportion to the size of the stratum in the overall population. Stratified sampling ensures that key subgroups are adequately represented in the sample, making it particularly useful when certain segments of the population may be underrepresented in a simple random sample. This technique increases the precision of the estimates by reducing sampling variability within each group. The other options are incorrect because: • Option 1 (Random selection) describes random sampling, not stratified sampling. • Option 3 (Systematic selection) is related to systematic sampling, not stratified sampling. • Option 4 (Data collection) is not specific to stratified sampling, where the strata are defined before sampling. • Option 5 (Variance) is a characteristic of the population, but it is not the basis for dividing the population in stratified sampling.
Which of the following is generally used for reclamation of soil acidity?
Which farming technique involves clearing tracts by burning, cultivating for a limited period, and then allowing regeneration of natural vegetation?
Which of the following is not matched correctly?
What plant hormone is responsible for preventing premature fruit drop in certain fruit trees like apple and cherry?
Which of the following weed is not found in the paddy field?
Kisan Credit Card scheme was launched in which year?
What type of pest primarily damages store grains such as rice and wheat?
Disorders like Hollow Stem of Cauliflower; Browning of Cauliflower ; Top sickness of Tobacco is caused due to the deficiency of
According to Lindeman’s law how much energy is lost while transfer from one to next trophic level ?
1000 grains weight of wheat ranges between __________ grams.
