1.) The usual reason for taking a sample is? A.) To know what the individuals in
ID: 3131087 • Letter: 1
Question
1.) The usual reason for taking a sample is?
A.) To know what the individuals in the sample think
B.) To calculate the sample’s mean x-bar
C.) To get the one perfect set of data that ideally represents the population it came from
D.) To infer from the sample data some conclusion about the wider population that the sample represents
2.) Confidence intervals are for?
A.) Assessing the evidence for a claim about the population
B.) Estimating the values of individual observations. “We are 95% confident Ralph’s SAT will be between 1023 and 1174”
C.) Estimating the value of a population parameter
D.) Giving students an awkward new calculation to do
3.) Hypothesis tests are for
A.) Giving students an awkward new calculation to do
B.) Estimating the value of a population parameter
C.) Estimating the values of individual observations. “We are 95% confident Ralph’s SAT will be exactly 1207”
D.) Assessing the evidence for a claim about the population
4.) Which one of these is NOT one of our simple conditions for inference about a mean?
A.) We don't know the population mean . But we do know the population standard deviation .
B.) We have an SRS from the population of interest. There is no nonresponse or other practical difficulty.
C.) Every confidence interval will have C = 95%, and every hypothesis test will have = 5%.
D.) The variable we measure has an exactly Normal distribution, N( , ) in the population.
5.) The margin of error in a confidence interval
A.) Tells how often your statistical calculations are wrong
B.) always + 95%.
C.) is an exact estimate of the mistakes that are made when level C confidence intervals are computed.
D.) is the distance between the middle C% of all possible sample mean x-bar's and the population mean .
Explanation / Answer
1.) The usual reason for taking a sample is?
D.) To infer from the sample data some conclusion about the wider population that the sample represents
we need to take a sample because we want to do inferences and conclude about the population
2.) Confidence intervals are for?
C.) Estimating the value of a population parameter
we use confidence intervals to estimate values about a parameter ( parameter = poulation) and for that we need to know an estimator ( estimator come from a sample)
3.) Hypothesis tests are for
D.) Assessing the evidence for a claim about the population
hypothesis tests are for doing inferences using claims about a population parametrer
4.) Which one of these is NOT one of our simple conditions for inference about a mean?
B.) We have an SRS from the population of interest. There is no nonresponse or other practical difficulty.
for this question is very simple that is not a condition for inferences
5.) The margin of error in a confidence interval
C.) is an exact estimate of the mistakes that are made when level C confidence intervals are computed.
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.