It is possible to use a random sample from a population to make statistical inferences about the entire population.
True
False
yes as random sample represent the population ; therefore one can infer statistically on basis of that
True
It is possible to use a random sample from a population to make statistical inferences about...
Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 58 bank accounts, we want to take a random sample of four accounts in order to learn about the population. How many different random samples of four accounts are possible?
Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 60 bank accounts, we want to take a random sample of nine accounts in order to learn about the population. How many different random samples of nine accounts are possible?
Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 60 bank accounts, we want to take a random sample of six accounts in order to learn about the population. How many different random samples of six accounts are possible?
Simple random sampling uses a sample of size from a population of size to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 75 bank accounts, we want to take a random sample of five accounts in order to learn about the population. How many different random samples of five accounts are possible?
We calculate a parameter to make inferences about a statistic. True or False
One of the assumptions we sometimes need to make when performing statistical inferences is that the response variable in the population has a Normal distribution. Is it possible to check that this assumption is satisfied? No - we can't really check this assumption since all data will look perfectly bell-shaped and symmetric, even if the population was not Normal. Yes - we can be absolutely sure the population was Normal if a plot of the data has no major outliers....
A population of individuals about whom an epidemiologist wants to make inferences best describes a: Target population Source population Study population Affected population
Inferential statistics is so named because it allows us to examine a sample and make inferences about ________ A. another sample B. an element of the sample. C. the population from which the sample was taken. D. none of the above.
Assumptions for statistical procedures are about: populations samples inferences hypotheses
Assumptions for statistical procedures are about: populations samples inferences hypotheses