# Bet Sure

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Sample size CalculatorThis calculator sample size is called a creative research systems represented software public survey. It can be used to determine how many people do you need to get results, which reflect the target population as precisely as possible on request for an interview. See the details in an existing sample. Before using the sample size calculator, there are two terms you need to know. These are: interval of confidence and trust level. If you are not familiar with these terms and conditions, click here. Click here for more information on the factors, the size of the influence, confidence intervals. Below, type your options in a computer the size of the sample that you need or that you have to find the confidence interval. If the population is unknown or very important, leave the field. Sample size calculator terms: confidence & trust management; Confidence interval (also called the error rate) tends to be the character who tells more or less in survey results newspaper or television. If you collect 4 intervals of confidence and 47% of the sample, for example, can a response be sure that he would choose the population concerned between 43% (47-4) and 51% (47 + 4) this response on the issue. You'll learn what can be trusted. It is expressed as a percentage and represents, choose how many times the actual percentage of the population, who want a response in the confidence interval is located. The 95% confidence level means that you can be sure 95 99% confidence level means that you can be 99% sure. Most researchers use the 95% confidence level. When you put the confidence level and confidence interval, you can say that you are sure that the actual percentage of the population between 43% and 51% to 95%. More the confidence interval is willing to accept, may be safe, that the responses of the entire population would be within this range. For example, if a sample of 1,000 people in the city, the brand of Cola they preferred and 60% said that you asked that mark, you can be very sure that between 40 and 80% of all inhabitants of the city, who prefer the brand, but you do not know can be between 59 and 61% of the inhabitants of the city prefer the mark. Determinants for the IntervalsThere trust are three factors that determine the size of confidence to a certain confidence interval: SizePercentagePopulation SizeSample SizeDer wider sure bet calculator 2 way sample size shows, may be safer, your answers reflect the population. This indicates that a specific confidence level, smaller size of the sample; Confidence interval. However, the relationship is not linear (c. - to-d, doubling of the size of the sample does not reduce the confidence interval). PercentageYour accuracy also depends on the percentage of the collection of the sample a certain response. If 99% of respondents Yes and 1% indicated that the chances of error not deleted, regardless of the size of the sample said. However, if the percentages are 51% and 49%, the chances of error are much larger. Extreme responses to moderate is easier. The sample size required for a given level of accuracy to determine which one to use the worst case percentage (50%). In addition, you should use it if you notice an overall accuracy of a sample, you would have already. The confidence interval, you can use for a concrete answer to determine who gave your sample, this response, select the percentage and a low. Indicates the size of the population, the number of people there in the group, which represents? This may be the number of people in a city, you study, the number of people who buy new cars, etc, you can often do not know the exact size of the population. This is not a problem. The mathematics of probability indicates that the size of it was irrelevant, because the population, the sample size exceeds a small percentage of the total population, we examined. This means that a sample of 500 people is also a good idea to consider the views of the 15. a city of 100 000 000 000 would be the system ignores the size of the large population therefore or unknown. The population should be only one factor when you work with a group relatively small people (p). EJ. (, the members of a partnership). Confidence to calculations that assume a completely random sample of the population concerned on. If the sample is not truly random, count of intervals. Non-random samples usually as a result of a defect in the sampling procedure. An example of failure is that people call during the day and almost all, not to lose the work. For the majority of cases that the inactive population can be applied accurately represents the whole of the population (working and non-working time) for. . . .