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What else can I help you with?
Is The average annual salary for 35 of a companys 1200 accountants is 57000. This describes a parameter?
No, this description does not represent a parameter; it refers to a statistic. A parameter is a value that describes a characteristic of an entire population, while a statistic describes a characteristic of a sample. In this case, the average salary of $57,000 pertains to a sample of 35 accountants out of the total population of 1,200 accountants in the company.
Could you show me a sample request letter for turnover of keys?
Sample letter for turnover of keys
Sample problem about cash and cash equivalents?
This is a great way to figure out how to keep track of your assets. You can find sample problems of this online.
Want a sample of 12th class accounts project?
i want a sample of accountancy project of class 12th and it should contain 70-80 jounral entries
Give you a sample form of a warehouse receipt?
yes
Does a random largely selected sample always give a better estimate of the population than a randomly selected sample?
A larger random sample will always give a better estimate of a population parameter than a smaller random sample.
If a sample of 66 employees were taken from a population of 820 employees s2 could refer to the variance of how many of the employees salarues?
In this context, ( s^2 ) would refer to the sample variance of the salaries of the 66 employees taken from the population of 820 employees. It is a measure of how much the salaries of these sampled employees deviate from their average salary. This sample variance provides an estimate of the variance of the population, assuming that the sample is representative.
Employees are chosen by a simple random sample and interviewed by their manager. Employees are divided into male and female and a proportional random sample is taken from each gender group to fill out an anonymous survey?
Employees are chosen by a simple random sample and interviewed by their manager. or Employee are divided into six salary ranges and the top and bottom ranges are randomly sampled to fill out an anonymous survey.
A sample average can be used to estimate a population average precision if the sample is?
large
Science what is a sample taken without bias?
The answer is Random Sample
Difference between random sample and convenience sample?
random sample is a big sample and convenience sample is small sample
Purpose of random assignment and using a representative sample in research?
To get a more accurate estimate of the entire population.
What is the problem of random sampling?
With random sampling, you are hoping to get a representative sample of a whole, however statistically you could get a sample that is very different from the whole it was selected from. The larger the sample proportion of the whole, the better your sample will be. For example, a sample of 10 out of 100 is not as good as 20 out of 100. The bigger the sample the closer to the actual whole average you will get.
What is the difference between simple random sampling and systematic random sampling?
simple random sample is to select the sample in random method but systematic random sample is to select the sample in particular sequence (ie 1st 11th 21st 31st etc.)• Simple random sample requires that each individual is separately selected but systematic random sample does not selected separately.• In simple random sampling, for each k, each sample of size k has equal probability of being selected as a sample but it is not so in systematic random sampling.
What is the difference between random and stratified sample in the survey method?
The main difference is that the way of selecting a sample Random sample purely on randomly selected sample,in random sample every objective has a an equal chance to get into sample but it may follow heterogeneous,to over come this problem we can use stratified Random Sample Here the difference is that random sample may follow heterogeneity and Stratified follows homogeneity
What is random distribution in biology?
A random distribution is a random sample set displayed in the form of a bell curve. See random sample set.
How do you select sample size in market research?
to select a random sample you pick them at random
