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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.
What is the advantage of inferential statistic?
Inferential statistics is concerned with making predictions or inferences about a population from observations and analyses of a sample. That is, we can take the results of an analysis using a sample and can generalize it to the larger population that the sample represents. In order to do this, however, it is imperative that the sample is representative of the group to which it is being generalized.
The process of using sample statistics to draw conclusions about true population parameters?
statistical inference
You are using the t distribution to estimate or test the mean of a sample from a single population If the sample size is 25 then the degrees of freedom are?
There are 24 df.
How do you find the degrees of freedom when using the t distribution to estimate or test the mean of a sample from a single population?
If the sample consisted of n observations, then the degrees of freedom is (n-1).
Purpose of random assignment and using a representative sample in research?
To get a more accurate estimate of the entire 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.
What is the relationship between a sample and population is statistics?
Information obtained from the sample can be extrapolated to the whole population using statistics.
What is Biased sampling?
Using sample that does not match the population
What is the advantage of inferential statistic?
Inferential statistics is concerned with making predictions or inferences about a population from observations and analyses of a sample. That is, we can take the results of an analysis using a sample and can generalize it to the larger population that the sample represents. In order to do this, however, it is imperative that the sample is representative of the group to which it is being generalized.
What are the Difference between research and survey?
Oh, dude, it's like this: research is when you dig deep into a topic, like a detective trying to solve a mystery, while a survey is basically just asking a bunch of people what they think. So, research is like Sherlock Holmes, and surveys are more like a quick chat with your buddies to see where everyone wants to grab dinner. Both can give you info, but they're definitely not the same vibe.
How does Mugenda and Mugenda define sample size?
According to research made at multiple websites; Mugenda and Mugenda, which is a company that focuses on research methods for various areas, define sample size by using statistics data and probability.
What type of research is done to find a cure for cancer?
There is a lot of research being done to find a cure for cancer. This research includes studying current cancer cells, genetics, and using experimental treatments.
Does inferential statistics involve using a suitable population to draw a conclusion from a sample drawn from that population?
It is strangely worded like that, but the answer is yes.
The process of using sample statistics to draw conclusions about true population parameters?
statistical inference
You are using the t distribution to estimate or test the mean of a sample from a single population If the sample size is 25 then the degrees of freedom are?
There are 24 df.
You want to do a survey on how religious people are in your town What do you need to have a valid scientific sample?
random sample of the town's population apex- (; A mix of participants that reflect your town's makeup
