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The Mugenda and Mugenda sampling formula is used to determine the appropriate sample size for a study based on a specific population size and the desired margin of error. The formula accounts for the confidence level, population size, and the variability of the responses. It is particularly useful in Social Sciences for research involving large populations, ensuring that the sample accurately represents the larger group. The formula helps researchers make informed decisions about how many participants to include in their studies.
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How does Mugenda and Mugenda define sample size?
According to research made at multiple websites; Mugenda and Mugenda, which is a company that focuses on research methods for various areas, define sample size by using statistics data and probability.
What are the various kind of sampling?
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
What are the sources of sampling errors?
Sampling and Non sampling errors
What sampling method?
Random Sampling
How many types of random sampling?
There are several types of random sampling, with the most common being simple random sampling, stratified sampling, cluster sampling, and systematic sampling. Simple random sampling gives each member of the population an equal chance of being selected. Stratified sampling involves dividing the population into subgroups and sampling from each subgroup. Cluster sampling selects entire groups or clusters, while systematic sampling involves selecting members at regular intervals from a randomly ordered list.
How does Mugenda and Mugenda define sample size?
According to research made at multiple websites; Mugenda and Mugenda, which is a company that focuses on research methods for various areas, define sample size by using statistics data and probability.
What is the formula for sample size determination by mugenda and mugenda 2003?
The formula for sample size determination by Mugenda and Mugenda (2003) is typically based on the following formula for estimating sample size in a population: n = (Z^2 * p * q) / E^2 where: n = required sample size Z = Z-score corresponding to the desired confidence level p = estimated proportion of the population with the attribute of interest q = 1 - p E = desired margin of error
Why you use sloven's formula?
it's a random sampling technique formula to estimate sampling sizen=N/1+N(e)2n- sampling sizeN-total populatione-level of confidence
What is slovene's formula?
it's a random sampling technique formula to estimate sampling size n=N/1+N(e)2 n- sampling size N-total population e-level of confidence
State sampling theorem?
sampling theorem is defined as , the sampling frequency should be greater than or equal to 2*maximum frequency, and the frequency should be bounded.. i,e fs=2*fmax where fs= sampling frequency
What is the formula or solution to be use in multistage sampling?
https://onlinecourses.science.psu.edu/stat506/node/44
What is the formula for simple random sampling?
The formula for simple random sampling is: n = N * (X / M) Where: n = number of samples N = population size X = sample size chosen M = total number of units in the population
What happens if sampling theory apply to low pass signal?
state and prove sampling theory as applied to low pass signal
What are the various kind of sampling?
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?
Answer is Quota sampling. Its one of the method of non-probability sampling.
What is sampling in research?
Sampling techniques in researching involves to types of sampling. The probability sampling and the non-probability sampling. Simple random is an example of probability sampling.
Is convenience sampling method not a random sampling?
You are correct; convenience sampling is not random sampling.
