In probability sampling it is possible to both determine which sampling units belong to which sample and the probability that each sample will be selected. Additionally, the statistical analysis used with cluster sampling is not only different, but also more complicated than that used with stratified sampling. So my conclusion which one is more suitable? It is important to note that, unlike with the strata in stratified sampling, the clusters should be microcosms, rather than subsections, of the population. A total of 78 5-members families are chosen.
Can I do 4 categories combined into one? If the population is very skewed, you will need a pretty large sample size to use the CLT, however if the population is unimodal and symmetric, even small samples are ok. The sample size is sufficiently large. The data are collected from a random sample from large population all students from KL. Below are parts of the data collected.
STPM 2018 term 3 mathematics (T) Coursework sample
You should increase the total n. The data are collected from a random sample from large population all students from KL. The sample values are independent of each other.
With cluster sampling one should divide the population into groups clusters. Of the five methods listed above, students have the most trouble distinguishing between stratified sampling and cluster sampling. With stratified sampling one should: Because the expected value of the 4 categories from my survey is too small.
You can also include the info name, interest, and others of the respondent. The data on time spent daily by students in school to access the social media is recorded. With stratified sampling one coudsework. Shining on August 16, at 2: Below are parts of the data collected.
You can find the sample of the results below. Learn how your comment data is processed. Can I do 4 categories combined into one? I calculated it by applying binomial distribution formula but I dont seem to be able to obtain the same answer as coursrwork after several attempts.
Non-probability Sampling The following sampling methods that are listed in your text are types of non-probability sampling that should coursweork avoided: Yap Gay Chin on August 24, at It depends on how you explain it.
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When there are very large populations, it is often difficult or impossible to identify every member of courswwork population, so the pool of available subjects becomes biased. Each cluster should be heterogeneous.
So my conclusion which one is more suitable? Both can be suitable. It depends on your teacher. The data are sampled randomly because it avoids bias.
STPM Term 3 Mathematics (T) Coursework Sample Answer | KK LEE MATHEMATICS
Stratified Sampling is possible when it makes sense to partition the population into groups based on a factor that may influence the variable that is being measured. Thank you so much for the guides. Yap Gay Chin on August 24, at 9: Olivia on September 11, at 8: Therefore the data i used ,ath is taken exactly from the survey from students.
Please ask stp school teacher for introduction, methodology, and conclusion. The following sampling methods that are listed in your text are types of non-probability sampling that should be avoided:. Another modification will be the degree of freedom.
This phenomenon leads to deterioration of social ties and values. TJY on August 22, at 2: