0
Add your answer:
Earn +20 pts
If the Mean equals 100 variance equals 40 and sample size equals 10 what is the standard deviation?
6.3
What is proportions test?
Many researchers use a proportions test to verify the statistically significant difference between two independent proportions. This test has a number of requirements such as the use of random sampling, samples must be independent, at least 10 successes and 10 failures, and the population is at least 10 times the size of the sample.
If the size of a sample equals to the size of the population?
Sample is subset of the population so sample size and population size is different.However, as a subset can be the whole set, if the sample size equals the population size, you have sampled the entire population and you will be 100% accurate with your results; it may cost much more than surveying a [representative] sample, but you get the satisfaction of knowing for what you surveyed the population exactly.Using a sample is a trade off between the cost of surveying the whole population and accuracy of the result.A census is a survey of the whole population and could be considered that the sample size = population size; in this case the results are 100% accurate.The television viewing figures are calculated using a sample of the whole population and then extrapolating them to the whole population; depending upon how the same was chosen, including its size, will affect the accuracy of the results - most likely not more than 95% accurate.With a carefully selected (that is properly biased) sample you can prove almost anything!
What is absolute sample size?
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
What is the difference between sample and sample size?
a sample is a sample sized piece given... a sample size is the amount given in one sample
How does the beginning sample size affect the accuracy of half-life dating?
A big sample is more statistically significant.
What is the benefit of using a large sample size in an experiment?
Statistically the larger the sample size the more significant the results of the experiment are. Chance variation is ruled out.
When the sample size is greater than n equals 30?
There is nothing particularly significant about a sample size of 30.
How might choosing a small sample size affect a scientific investigation?
Statistically the results will not be scientifically valid if the sample size is too small.
What circumstances can a small treatment effect be statistically significant?
For a given experiment, and a given sample size, there is a probability that a treatment effect of a given size will yield a statistically significant finding. That is, if the treatment effect is 1 unit, then that probability (the power) might be 50%, and the power for a treatment effect of 2 units might be 75%, etc. Unfortunately, before the experiment, we don't know the treatment effect size, and indeed after the experiment we can only estimate it. So a statistically significant result means that, whatever the treatment effect size happens to be, Mother Nature gave you a "thumbs up" sign. That is more likely to happen with a large effect than with a small one.
What is the sample size of a survey?
The sample size of a survey refers to the number of individuals selected to participate in the survey. It is crucial in determining the reliability and accuracy of the survey results. A larger sample size generally leads to more statistically significant results.
If the Mean equals 100 variance equals 40 and sample size equals 10 what is the standard deviation?
6.3
What is proportions test?
Many researchers use a proportions test to verify the statistically significant difference between two independent proportions. This test has a number of requirements such as the use of random sampling, samples must be independent, at least 10 successes and 10 failures, and the population is at least 10 times the size of the sample.
How big should a sample size for fruit fly crosses be?
A sample size for fruit fly crosses should ideally be at least 50 individuals to provide statistically reliable results. However, larger sample sizes can increase the accuracy of the data and help account for variability in genetic inheritance patterns. It's important to balance between practical constraints and statistical validity when determining the sample size.
If the size of a sample equals to the size of the population?
Sample is subset of the population so sample size and population size is different.However, as a subset can be the whole set, if the sample size equals the population size, you have sampled the entire population and you will be 100% accurate with your results; it may cost much more than surveying a [representative] sample, but you get the satisfaction of knowing for what you surveyed the population exactly.Using a sample is a trade off between the cost of surveying the whole population and accuracy of the result.A census is a survey of the whole population and could be considered that the sample size = population size; in this case the results are 100% accurate.The television viewing figures are calculated using a sample of the whole population and then extrapolating them to the whole population; depending upon how the same was chosen, including its size, will affect the accuracy of the results - most likely not more than 95% accurate.With a carefully selected (that is properly biased) sample you can prove almost anything!
What is absolute sample size?
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
3 scenarios where slovin's formula is being applied?
A research study wants to estimate the proportion of adults in a city who prefer a certain brand of coffee. The researchers use Slovin's formula to determine the sample size needed for their survey. A market researcher is conducting a survey to estimate the average monthly household income in a specific neighborhood. Slovin's formula is utilized to calculate the sample size required to ensure the results are statistically significant. An environmental scientist is studying the population density of a rare species of bird in a particular habitat. By using Slovin's formula, the scientist can determine the appropriate sample size for monitoring and studying this bird population accurately.
