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Reasoning based on what you know about a sample which you use to draw conclusions about the larger target population?
Keala78
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∙ 13y ago
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The process of using sample statistics to draw conclusions about true population parameters is called?
inferential statistic
Is the sampling of error larger when the sample mean is closer to the population mean?
No.
Is population mean always larger than sample mean?
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.
Why do smaller populations need larger sample sizes?
They do not. Population size does not affect the sample size. The variability of the characteristic that you are trying to measure and the required accuracy will determine the appropriate sample size.
How does sample size affect the validity of an experiment?
The sample size has no effect on the validity of an experiment: instead, it is the experimental procedure and integrity of the experimenters.The sample size can affect conclusions that may be drawn from an experiment. The larger the sample is, the more reliable these conclusions are.
What can statistical reasoning help us to generalize correctly from?
A Sample to a Population
What is a subset from a larger population?
in statistics a sample is a subset of population..
When using the distribution of sample mean to estimate the population mean what is the benefit of using larger sample sizes?
The variance decreases with a larger sample so that the sample mean is likely to be closer to the population mean.
The process of using sample statistics to draw conclusions about true population parameters?
statistical inference
Statistical reasoning can help us to generalize correctly from?
a sample to population. (you're welcome) ;)
The process of using sample statistics to draw conclusions about true population parameters is called?
inferential statistic
In statistics what would you call the conclusions drawn about a population?
INFERENCES Any calculated number from a sample from the population is called a 'statistic', such as the mean or the variance.
What are some examples of fallacies of inductive reasoning?
Some examples of fallacies of inductive reasoning include hasty generalization (drawing conclusions based on insufficient evidence), biased sample (making assumptions based on a sample that is not representative of the population), and cherry-picking (selectively choosing data that supports a particular conclusion while ignoring contradictory evidence).
What is the the relationship between population and sample parameter and statistic?
The relations depend on what measures. The sample mean is an unbiased estimate for the population mean, with maximum likelihood. The sample maximum is a lower bound for the population maximum.
Is the sampling of error larger when the sample mean is closer to the population mean?
No.
Is population mean always larger than sample mean?
Yes
