A stratified sample is obtained by dividing the population into homogeneous groups and randomly selecting individuals from each group.
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What do you understand by stratified sampling?</h3>
In stratified sampling, respondents are divided into groupings known as strata based on shared traits (e.g., race, gender, educational attainment). A different probability sampling technique is used to randomly sample each subgroup once it has been divided. To complete the sampling process, stratified sampling is a form of sampling technique in which the entire population is divided into smaller groups or strata. The population data's common traits serve as the foundation for the stratum. The ability to obtain a sample population that most accurately represents the overall population being investigated while ensuring that each subgroup of interest is represented makes stratified random sampling one popular technique employed by researchers. However, there are certain drawbacks to this study approach.
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Answer:
An organism is a member of a species and species are made up of organisms.
Answer:
One relative of whales was Pakicetus, which lived 50 million years ago. (the group of marine animals that includes dolphins and whales).
Explanation:
Answer: Incomplete Dominance
Explanation:
Incomplete Dominance occurs when an heterozygous phenotype, different from the two parents homozygous phenotypes is expressed in the OFFSPRING.
FOR EXAMPLE: A pure breeding Red flower (RR) plant crossed with a pure breeding White flower (rr) plant and PRODUCES offspring with PINK flowers (Rr). This is Incomplete Dominance.