Given Population Krejcie And Morgan Table
10 10 220 140 1200 291 15 14 230 144 1300 297 20 19 240 148.
Given population krejcie and morgan table. The krejcie and morgan table help the researcher to determine the sample size. Adapted from krejcie and morgan 1970 3 4 1 exclusion criteria. Krejcie university of minnesota duluth daryle w. Regrettably a table has not bee available for.
Krejcie morgan 1970 this study used a two stage sampling. Sample size table from the research. As for example if the population have 2800 person by referring to the table researcher just need to get a feedback from 338 person. One of the most used method is the krejcie and morgan sampling method.
Stratified random refers to categorizing the elements of sample into strata. The table is applicable to any population of a defined finite size. So the researcher does not need to make the study on each of the sample. Table 3 2 determining sample size of a given population source.
The ever increasing need for a representative statistical sample in empirical research has created the demand for an effective method of determining sample size. To simplify the process of determining the sample size for a finite population krejcie morgan 1970 came up with a table using sample size formula for finite population. The krejcie and morgan 1970 table was chosen because the calculation for from jour 332 at howard university. Krejcie and morgan s sample size determination table population sample 10 10 15 14 20 19 25 24 30 28 35 32 40 36 45 40 50 44 55 48 60 52 65 56 70 59 75 63 80 66 85 70 90 73 95 76 100 80 110 86 source.
To address the existing gap krejcie morgan 1970 came up with a table for determining sample size for a given population for easy reference. 3 5 sampling technique this study implemented the quota sampling technique to make sure an unbiased distribution of students who are studying in. Table for determining sample size from a given population n s n s n s. It is possible to use one of them to construct a table that suggests the optimal sample size given a population size a specific margin of error.
The first stage was stratified random sampling technique.