Question

Explain th he importance of random sampling,what problemstlimitations could prevent a truly random sampling and how can they be prevented?

Answer 1

Random sampling, requires that each and every member of the study population have an equal opportunity to be chosen as a study subject.

Randomly selecting members allows for members of the population to be chosen equally.

Random sampling is also known as probability sampling

Probability sampling allows every facet of the study population to be represented without researcher bias

For example, exam questionnaire is given out in an unsystematic way to a group or population so that every person within that group has a chance of submitting information for analysis

When choosing the random sampling they have to be chosen without any bias towards the results that are being studied.

In a true random sample, everyone in the population must have the same chance of being chosen. Calling people on the phone, for example, might be a better way of getting a random sample for a survey about eating habits.

A random sample allows for favoritism or bias from being excluded from the sample. One problem that can prevent a random sampling is only selecting a group to survey or sample by age or gender

For example, imagine you are conducting a survey that calls for a sample size of 100 people. If you know that 10% of the population you’re studying are males between the ages of 10 and 25, then you would seek 10 males in that age group to be part of your sample. Once those 10 have responded, no more males between 10 and 25 may take part in the survey.