how to estimate population size from sample
how to estimate population size from sample
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how to estimate population size from sample
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how to estimate population size from sample
My study is in Uganda in Wakiso district which has 16 sub-counties. Again thank you for your reply. For obvious reasons it is impossible to survey those (roughly) 400 million adults in the EU. Use the sample size formula. The minimum sample number depends of the margin of error you want to accept. With a sample size of 214 respondents your margin of error will be higher than the widely accepted 1-5% range, thus making your results deviate too much from the opinions of the entire population. With a population of 280 you will need 163 respondents in order it to be representative with 5% margin of error and 95% confidence level. As you point out, a minimum sample of 30 is recommended. You can do this yourself with the second part of our sample size calculator. For example, if you use a margin of error of 10% and 47% percent of your sample picks an answer, you can be sure that if you had asked the question to the entire population, between 37% (47-10) and 57% (47+10) would have picked that answer. In my study I have surveyed these villages selecting random households. The number to invite is only meant to give you an indication of the number of people that you need to invite to reach the calculated sample size. More often than not you need a subscription to access a scientific journals. what would i do on this matter because I was not able to achieve my sample size. After all, you will be conducting a survey on one route at one airline. This number indicates how much the opinions of your sample are likely to deviate from the population. We are profiling villages, however, people on ground only interview 18% of the population. Creative Commons Attribution NonCommercial License 4.0. However, we are wondering how we can assign (distribute) the sample size to the six sections. However, the responses that I have got for my research are 290. The minimum sample size required to estimate the population proportion is n = p ( 1 p) ( z E) 2 where, p is the proportion of success, z is the Z / 2 (critical value of Z ), E is the margin of error. Using 95% confidence level and 5% margin error, I am able to determine the sample size to be 370 (using the table above). but with so many limitations, am I able to generalize any of the findings to the population? I am pulling meta data fields from a population of 100M documents. student population is 84000. how should I go about the problem of selecting correct sample size. The percentages you mention are however conventional. e signifies the . P = (N 1 x N 2)/ R P = total size of population N 1 = size of first sample (all marked) N 2 = size of second sample (recapture: some will be marked, some won't) a) identify the population and the sampling frame that could be used b) describe how a simple random sample can be drawn using the identified sampling frame c) could a stratified sample be used? When I use a margin of error of 5%, confidence level of 95% and a response distribution of 20%, I get a sample size of 187. for a 95% confidence level and 5% margin of error you get following samples: Population = 1,000 > sample size = 278 Population = 10,000 > sample size = 370 Population = 100,000 > sample size = 383, Briefly i am intended to use a focus group discussion among people who keep livestock (cattle, pig gaots and sheep) about risk factors of a disease x introduction and spread. SS = [N * z * (p*q)] / [(ME * (N 1)) + (z * (p*q))], Alternatively, our calculator keeps the size of your population into account when calculating your sample size. SurveyMonkey Audience has millions of respondents who are ready to take your survey. Determine the sample size of the study. Because the population is pre-qualified, the incidence rate is 100%. You can make an estimation if you dont know the exact number of individuals, but you cannot choose or calculate your population size. With 15 staff respondents out of a population of 48 your margin of error for this group will be around 21% for 95% confidence level. So far, so good. For example, if you use a confidence interval of 4 and 47% percent of your sample picks an answer you can be "sure" that if you had asked the question of the entire relevant . please how do i calculate the sample size for an undefined population? Dear Passa, please use this calculator: https://www.checkmarket.com/market-research-resources/sample-size-calculator/. hi. North-East, North-West, South-East, South-West) and look for a representative split across the regions. Hi all wondering if you could help. for confidence level 95% ann MoE 5% your sample size will be 370. Would my ability to generalize not be compromised by the low response rate? Hi Maarten, Im working on my Thesis. Again each districts have got local districts. I am working on airlines websites. Thanks again Gert Van Dessel actually I dont know the population in each hospital. what will be my sample size then? the population size is unknown.how a take an accurate sample size for the research? dont know), then you will need a different sample size calculator. This means if for example 30% of respondents pick a certain answer options, the actual percentage for your population will lie between 17,4% and 42,6%. I am trying to study diet behaviors of South Asian population in Canada after migration. Google scholar is a great place to start! This field is for validation purposes and should be left unchanged. I assume also that the order of these documents are at random, so the order has no influence on the results when picking out a sample. = 2344, Sir, I have universe of 50,800 . question is how I can get.a representative sample. You can check the margin of error using our calculator: https://www.checkmarket.com/market-research-resources/sample-size-calculator/. Do we know 2? Though it can be harder to quantify, it's incredibly valuable and something you should ask for in all of your surveys. Standard deviation in the population. However, it is advisable to use a larger sample size for your research. When conducting healthcare surveys, a statistically significant sample size can help you find out what health issues are a greater concern for your patients over others. Do I have calculate the sample for each strata? I am planning to conduct a repetitive sampling in four groups of animals at two locations in every two months interval for three times. After calculation of sample size you have to correct for the total population SSadjusted = (SS) / (1 + [(SS 1) / population]), You can also check with our sample size calculator. quarterly mean outgoings) , and two more which are calculated from other records (mean annual outgoings, for example). I used 95% confidence and a margin of error of 5%- the calculation shows about 152. As you only collected 71 responses, your sample size is not 140 but 71 (your population is 140). Hi, I need to draw sample (minimum Household that I need to survey) from a list of 140 households. I was asked how did i arrive at a sample size i choose to sample a number of respondents who were purposeful y selected out of 48 staffs and 317 students. Ive calculated before and it seemed too small to be representative of that size of a population. First of all the question I am familiar with, i.e. What would be considered in general a satisfying margin of error in social surveys? You can check with our sample size calculator. 2. identify dependent and independent variables to be used in this study. one of the village was a having 1880 households and the other village 578 households. I am to study the service quality of the DRIVER AND VEHICLE LICENSING AUTHORITY in Ghana. If you want to make general statements about the service quality of the Driver and Vehicle Licensin Authority, you should argue that your sample of the offices you study is representative for all offices. I need to determine sampling technique and sample size. Using our calculator you will see it is not correct to say that the sample size should range between 5% and 10% of the population. If a retailer would like to estimate the proportion of their customers who bought an item after viewing their website on a certain day with a 95% confidence level and 5% margin of error, how many customers do they have to monitor? I work in a call-centre where there are 73 agents, who on average take 600 calls a month. Question: How do we get a rough estimate of \(\sigma\)? Your sample may be large enough to have a low margin of error, but not representative for your population (e.g. Research teacher advised me to have 30% of it. See also our sample size calculator. Sir, Kindly help me with this problem. The total number of students is not known. Could you help me to calculate my study sample? Should one always restrict himself to to the confidence interval of 5%, 2% or 1% as the case may be and confidence level of 95% or 99% if the population size is known to calculate the sample size? This calculator uses the following formula for the sample size n: n = N*X / (N + X - 1), where, X = Z /22 * 2 / MOE 2, and Z /2 is the critical value of the Normal distribution at /2 (e.g. If, the sample proportion is close to 0 or 1 then this approximation is not valid and you need to consider an alternative sample size calculation method. Hello, i think this will really help me determining my sample size. the 100.000 students of 7 universities), you need roughly 2.345 respondents (margin of error 2% and confidence level 95%). an excellent way to find the sample size of a research and number of respondant? Will the population be all people eligible to drive i the country? thank you, For a popuation of 900 you will need a sample of 270 for a confidence level of 95% and margin of error 5%. First of all you have to make an estimation of your entire population (e.g. Stratifi ed random sampling technique was used for the selection of the samples. Hy I have being doing research work for commercial banks I have a population size of ;28 and i need to calculate sample size with such small population. Below I give you the two extremes: Option 1: Very loose: Confidence level 95% and Margin of error 5%: Sample size = 345 Option 2: Very strict/accurate: Confidence level 99% and Margin of error 1%: Sample size = 2.768. the The sample size was calculated using the formula Sample size n = [DEFF Np (1 p)]/[(d2/Z2 1-/2 (N 1)+p (1 p)] P (prevalence rate) was taken as 30% (it based on the fi nding of in depth analysis of NFHS-3 data by Kimuna et al. If you want your survey data to reflect very closely the entire population, then you should choose a high confidence level (99%) and a low margin of error (1%). voluptates consectetur nulla eveniet iure vitae quibusdam? My question is: Can I determine the required sample sized based on the standard deviation calculated in pilot survey ( population is UNKNOWN)? With our sample size calculator you are able to check the margin of error based on the confidence level you require. Your ideal sample size for a population of 2800 with a 2% margin of error and a 99% confidence level would be 1672. Do I understand it right you have a population of 100.000 persons? But unfortunately, It turned out that I was able to get only 183 respondents. The only justification to only include 6,7 or 8 hospitals, are practical reasons (limited time, budget, ). After all it is possible that your subgroups will be (too) small. So if possible (depending on your timing and budget) I would continue to collect responses until you get to this number. As you see, this is not very accurate/reliable. pls i want to know if this okay and the sample size . This sample gives you a margin of error of 3,2% for 95% confidence level, which certainly can be considered acceptable. Or, was I right to survey all, and I can now say I met my sample size, because I had greater than 375 respondents, with a margin of error of only 3.39%? I am afraid that your sample will not be large enough, unless you are willing to accept a margin of error of approximately 8%. Am doing my MBA and have been asked to state the name of the formula I used to determine my sample size. i would like you to help me on my feseability studies, it is about a commercial building and it has a office for rent and the next floor is a dormitory i am so confused on what will i use, for the sloven formula is not applicable on it coz i have no population to determine my sample sizei need someone whom is not living on this place for i need is someone who lives far and whom is only renting.. so the problem is i dont know how do start this one and it so urgent. Where, SS = Sample size; Z = Given Z value; p = Percentage of population; C = Confidence level; Pop = Population; Check: Z Score Table Sample Size Formula Example. This means that your margin of error will be larger. If you add all these subsamples, you will get the total sample you should be aiming for. Should I decrease it or go for 370? 942 for MoE 3%). Can I give clear explanation ? A voluntary survey (one where people receive a mailer, email or phone call and choose to respond) will never accurately represent a population. My population is 423 and Im required to come up with a sample size of between 50-60. Generally a confidence level of 95% and margin of error of 5% is taken. What do you expect the sample proportion to be? You can check with our sample size calculator. As a result it is advisable to treat each sub-group as a population and determine your sample size accordingly. The topic is about passengers satisfaction on international airlines. If you chose a 95% confidence interval and you would repeat your survey a 100 times, 95 times the percentage of the population will lie within those boundaries. I am not familiar with this type of study. This will be a trade-off between level of accuracy you want to reach and feasibility of obtaining a large sample size (also in terms of budget for your research). Correction for a finite population SSadjusted = (SS) / (1 + [(SS 1) / population]). Power of the study. my population is 1200. how much sample do i need? How do I calculate the right sample size. I am struggling a bit with: 1)sample size (as I am not sure which size of the population should I choose (is it the average number of patients admitted to this department by day, or by week ,or by month?? (so the whole population is asked to participate). As I already mentioned in an earlier comment, calculating an appropriate sample size does not guarantee representativity. kindly provide me with its justification. E.g. In most of social sciences research, 95% confidence interval is taken. Hi, I have collected a sample of 900 out of total population of 31907. is it a representative??? There are 1300Households under the project. So, we see that the conservative answer is to take n = 45. I am research scholar doing research on customer perception about primary market.I have to collect the data from four cities in these cities total demat account holder are 13 lakh 69 thousand 2 hundred and 79 which is my population.I want to use 95% confidence level and 5% confidence interval.What should be the sample size,i can use for my study. = 2401 / 1 + [0,024] SSadj. Generally a confidence interval of 95% and margin of error of 5% is taken. As explained in the article, your sample size not only depends on your population but also on the margin of error and the confidence level you choose. The standard sample size of 385 is for infinite populations. how many should i draw from each group? If your population grows to 100,000 the error margin only increases to 3,99% and for 1,000,000 it is 4,00%. Thanks.How many sample do i need in 1,400,767 population? You can check for other error margins/confidence levels with our sample size calculator. If you want to sample three different groups, you should calculate a sample for each group. If I cannot get any better response rate, can I use the data? You can use our sample size calculator to calculate the required sample size for a given confidence level and margin of error you want to allow. A sample of 400 is large enough for a maximum margin of error of 5% with a 95% confidence level, but that doen not necessarily mean your sample is representative for your population. Now, let's begin plugging what we know into the formula. I then tried to do interviews by approaching the 51 who completed the survey. To answer your question, no, that is not automatically the case. If so, how is this done? You can calculate your ideal sample size for yourself with our sample size calculator. There are no specific sample size formulas or calculations for qualitative sample sizes. Could you please elaborate on what you are looking for exactly? If you do not know your proportion p, it is quite common to take 0,5 as a value for p. SS = (Z-score) * p*(1-p) / (margin of error), Then you correct it if you know your population: SSadjusted = (SS) / 1 + [(SS 1) / population]. I need ideas on how to do this homework. In short, I would urge you to increase your sample size if you would like to take into account the districts and local-districts. These pupils will be pre-selected based on observations by Resource Teacher and class teachers. You can calculate your ideal sample size using our online calculator. Kindest regards and hope to hear from you. I want to know how to estimate the average number of respondents per city, considering the aforementioned bias. What about the value that we used for \(\sigma^2\), (1932.657)? Ive determined that I need to analyze 166 random documents to be 99% confident that my sample represents the population ( 99% Confidence Level ), while having a Confidence Interval of plus or minus 10% on the coverage rates we discover. Are there any sources I can use? so i want to know for such kind of the study, how can i determine a sample size? A team that I belong to plans to conduct a household survey in a town with approximately 5,000 households. The formula to calculate sample sizes is: SS = (Z-score) * p* (1-p) / (margin of error) Z-score = 1,96 for confidence level 95% Proportion p is your expected outcome. If your population is unknown, you will have to try to make an estimation. Just divide the number you got from Step #3 by the number you got from Step #4. Sampling Techniques (Third ed.). dear sir, I am doing research using qualitative methodology with a case study design .but I encounter a problem on stating sample size because there is no actual data on the total number of women food vendor from the municipal , but also very difficult to get data because of the nature of business the perform. Now, what should be my population: the whole military, all the indigenous transports available in the land? Thank you. For large populations the sample size diesnt change much anymore. For such specific information I suggest you post your question on a statistics forum, for instance the LinkedIn Group Research, Methodology, and Statistics in the Social Sciences, Hi, Can these tables be used after the fact, to infer margin of error and confidence level after a survey has been administered to an entire population. Excepturi aliquam in iure, repellat, fugiat illum That is, you need to specify the \(1 - \alpha\) value that you are happy with. The total number of people whose opinion or behavior your sample will represent. If you want your survey data to reflect very closely the entire population, then you should choose a high confidence level (99%) and a low margin of error (1%). Plug in your Z-score, standard of deviation, and confidence interval into the sample size calculator or use this sample size formula to work it out yourself: This equation is for an unknown population size or a very large population size. As far as I understand your project, your population is 12.000. Arent I missing something about the effect of an extremely low response rate (1.6% in my example) on sample-representative-ness? How will I calculated sample size? You can calculate your sample size via this calculator: http://www.checkmarket.com/market-research-resources/sample-size-calculator/. I am just wondering how the calculator resulted to a 384 sample size. Often confidence level 95% and margin of error of 5% is taken. I will be encouraging parents to participate, but I cant include them in my sample. The required sample size for a population size of 7914 with a 5% margin of error and 95% confidence level is 367. This percentage tells you how much the opinions of your sample are likely to deviate from the population. I am afraid both approaches are wrong. Do you think my sample is probabilistic or non-probabilistic? After calculation of sample size you have to correct for the total population SSadjusted = (SS) / (1 + [(SS 1) / population]) In your case: SS = (1,96) * 0,5*0,5 / 0,0438 = 500,6 SSadj. If you sample is large enough (you can use our calculator: https://www.checkmarket.com/market-research-resources/sample-size-calculator), this will not affect your analysis. I would advise you to look for more information on the number of middle managers. We do not know what this is! I have heard that there are calculators that are especially use for sample size calculation but i didnt find any, if there exsist any can u name of them? Note! If you are unsure, use 50%, which is conservative and gives the largest sample size. Hi Didier, I have a 387 respondents reported data from a total population of 4730. The table in the article shows that you approximately need 400 respondents (confidence level 95% and margin of error 5%). A lower margin of error requires a larger sample size. Based on a population of 800 customers, a 5% confidence interval and a 95% confidence level, you would need a 260 a 300 respondents. gender, education, age, etc. And, if we specify this \(\alpha\) we can then try to find out the sample size large enough to achieve the goal of your experiment. i have a problem to how i find sample size of old building,,,,,. IS this right? You can use this free sample size calculator to determine the sample size of a given survey per the sample proportion, margin of error, and required confidence level . E.g. The margin of error is the level of precision you require. If, for instance, all income levels are equally distributed (33,3%), you will need information from 372 households per group (confidence level of 95% and a margin of error of 5%). The confidence level is the probability that the margin of error contains the true proportion. You can calculate these sample sizes using our online calculator. I want to study Determinants of Seasonal Migration in one woreda of Ethiopia with sampled kebele of three with house hold of 2473,so what type of Formula i can used in 95% accuracy and 5% errors and the sampled use hold be ranged between 120-180. Unfortunately in contrast with probability sampling there is no distinct formula to determine the appropriate sample size. In the example, the statistician examined 40 students, so the sample size is 40 people.
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