In estimation,data from the population is used to estimate the population parametersthe mean of the population equals to the mean of the sampledata form the sample is used to estimate the sample statisticsO data from the sample is used to estimate the population parameters Which of the following is not true about the t distribution?It is used to construct confidence intervals for population mean when the population standard deviation isknown.O Its mean is also its mode.O It is bell shaped and symmetrical.As the number of degrees of freedom increases, the t distribution approaches the standard normaldistribution.It has more area in the tails and less in the center than does the standard normal distribution.

In estimation, data from the population is used to estimate the population parameters O the mean of the population equals to the mean of the sample O data form the sample is used to estimate the sample statistics O data from the sample is used to estimate the population parameters

In estimation, data from the population is used to estimate the population parameters O the mean of the population equals to the mean of the sample O data form the sample is used to estimate the sample statistics O data from the sample is used to estimate the population parameters

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 6SGR

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Question

In estimation,
data from the population is used to estimate the population parameters
the mean of the population equals to the mean of the sample
data form the sample is used to estimate the sample statistics
O data from the sample is used to estimate the population parameters

Which of the following is not true about the t distribution?
It is used to construct confidence intervals for population mean when the population standard deviation is
known.
O Its mean is also its mode.
O It is bell shaped and symmetrical.
As the number of degrees of freedom increases, the t distribution approaches the standard normal
distribution.
It has more area in the tails and less in the center than does the standard normal distribution.

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