Solved

A Random Sample of Size 25 Was Selected from a Population

Question 2

Multiple Choice

A random sample of size 25 was selected from a population and from that sample the value of a statistic,which we will label A random sample of size 25 was selected from a population and from that sample the value of a statistic,which we will label ,was determined to be = 6.250.Using the bootstrap method,5000 resamples were obtained from the sample observations.The histogram of the values of the statistic from these 5000 resamples looked reasonably Normal.The 5000 's had a mean of 6.234 and standard deviation of 1.493.An approximate 95% confidence interval for the parameter that corresponds to is given by A) 6.234 ± 2.064(0.299) . B) 6.234 ± 2.064(1.493) . C) 6.250 ± 2.064(1.493) . D) 6.250 ± 2.064(0.299) . E) 6.250 ± 1.960(1.493) . ,was determined to be A random sample of size 25 was selected from a population and from that sample the value of a statistic,which we will label ,was determined to be = 6.250.Using the bootstrap method,5000 resamples were obtained from the sample observations.The histogram of the values of the statistic from these 5000 resamples looked reasonably Normal.The 5000 's had a mean of 6.234 and standard deviation of 1.493.An approximate 95% confidence interval for the parameter that corresponds to is given by A) 6.234 ± 2.064(0.299) . B) 6.234 ± 2.064(1.493) . C) 6.250 ± 2.064(1.493) . D) 6.250 ± 2.064(0.299) . E) 6.250 ± 1.960(1.493) . = 6.250.Using the bootstrap method,5000 resamples were obtained from the sample observations.The histogram of the values of the A random sample of size 25 was selected from a population and from that sample the value of a statistic,which we will label ,was determined to be = 6.250.Using the bootstrap method,5000 resamples were obtained from the sample observations.The histogram of the values of the statistic from these 5000 resamples looked reasonably Normal.The 5000 's had a mean of 6.234 and standard deviation of 1.493.An approximate 95% confidence interval for the parameter that corresponds to is given by A) 6.234 ± 2.064(0.299) . B) 6.234 ± 2.064(1.493) . C) 6.250 ± 2.064(1.493) . D) 6.250 ± 2.064(0.299) . E) 6.250 ± 1.960(1.493) . statistic from these 5000 resamples looked reasonably Normal.The 5000 A random sample of size 25 was selected from a population and from that sample the value of a statistic,which we will label ,was determined to be = 6.250.Using the bootstrap method,5000 resamples were obtained from the sample observations.The histogram of the values of the statistic from these 5000 resamples looked reasonably Normal.The 5000 's had a mean of 6.234 and standard deviation of 1.493.An approximate 95% confidence interval for the parameter that corresponds to is given by A) 6.234 ± 2.064(0.299) . B) 6.234 ± 2.064(1.493) . C) 6.250 ± 2.064(1.493) . D) 6.250 ± 2.064(0.299) . E) 6.250 ± 1.960(1.493) . 's had a mean of 6.234 and standard deviation of 1.493.An approximate 95% confidence interval for the parameter that corresponds to A random sample of size 25 was selected from a population and from that sample the value of a statistic,which we will label ,was determined to be = 6.250.Using the bootstrap method,5000 resamples were obtained from the sample observations.The histogram of the values of the statistic from these 5000 resamples looked reasonably Normal.The 5000 's had a mean of 6.234 and standard deviation of 1.493.An approximate 95% confidence interval for the parameter that corresponds to is given by A) 6.234 ± 2.064(0.299) . B) 6.234 ± 2.064(1.493) . C) 6.250 ± 2.064(1.493) . D) 6.250 ± 2.064(0.299) . E) 6.250 ± 1.960(1.493) . is given by


A) 6.234 ± 2.064(0.299) .
B) 6.234 ± 2.064(1.493) .
C) 6.250 ± 2.064(1.493) .
D) 6.250 ± 2.064(0.299) .
E) 6.250 ± 1.960(1.493) .

Correct Answer:

verifed

Verified

Related Questions

Q1: A consumer advocate is comparing income for

Q3: Residents of large urban cities often complain

Q4: Give an example of the plug-in principle.<br>A)Estimate

Q5: In which of the following situations can

Q6: The Q-Q plot below shows the bootstrap

Q7: Bootstrapping is useful because it adds more

Q8: Suppose we are interested in the amount

Q9: The mayor of Beltsville has commissioned a

Q10: A simple random sample of size four

Q11: A simple random sample of corporate executives