Beware the dangers of google. Google is a great tool, but it is necessary to be skeptical and evaluate the provided results. For example, upon google searching "standard error of the difference between two means the first hit is a linke to a web page from Keane University where the equation for the standard error of the difference between two means is given as of SE21-₂₁ 7₂ However, the text book gives the equation below as the standard error for the difference between two means as SE o 71-72 Why are these two formulas different? How can you tell? Which one is correct? SE21-₂ n₁ 7₂ is the equation for the standard error of two population means, while (+4) is the equation for the standard error of two sample means. SE SEP21-P₂ = 1 n₁ n₂ is the equation for the standard error of two sample means, while SE is the equation for the standard error of two population means. ✔Greek letters are usually used in the equations for population parameters, while Latin letters are usually used in the equations for sample statistics. O Latin letters are usually used in the equations for population parameters, while Greek letters are usually used in the equations for sample statistics. The population parameter equation is only correct to use when the data set encompasses the entire population. The sample statistic equation is correct to use when the data set is from a subset of the entire population.
Beware the dangers of google. Google is a great tool, but it is necessary to be skeptical and evaluate the provided results. For example, upon google searching "standard error of the difference between two means the first hit is a linke to a web page from Keane University where the equation for the standard error of the difference between two means is given as of SE21-₂₁ 7₂ However, the text book gives the equation below as the standard error for the difference between two means as SE o 71-72 Why are these two formulas different? How can you tell? Which one is correct? SE21-₂ n₁ 7₂ is the equation for the standard error of two population means, while (+4) is the equation for the standard error of two sample means. SE SEP21-P₂ = 1 n₁ n₂ is the equation for the standard error of two sample means, while SE is the equation for the standard error of two population means. ✔Greek letters are usually used in the equations for population parameters, while Latin letters are usually used in the equations for sample statistics. O Latin letters are usually used in the equations for population parameters, while Greek letters are usually used in the equations for sample statistics. The population parameter equation is only correct to use when the data set encompasses the entire population. The sample statistic equation is correct to use when the data set is from a subset of the entire population.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Hi! I just need help with the bottom four choices. Some of the answer choices sound right, but I can't find the answers in my textbook. Could you also explain why as well? Thank you!
![Beware the dangers of google.
Google is a great tool, but it is necessary to be skeptical and evaluate the provided results. For example, upon google searching "standard error of the difference between two means" the first hit is a link to a web page
from Keane University where the equation for the standard error of the difference between two means is given as
SE421-42
However, the text book gives the equation below as the standard error for the difference between two means as
SE
ヴェージュ
Why are these two formulas different? How can you tell? Which one is correct?
SE421-42
SE
n₁ n₂
ディージェ
=
is the equation for the standard error of two population means, while
n₁ n₂
SE
n₁
is the equation for the standard error of two sample means.
SEµ21-4₂= n₁ n₂
is the equation for the standard error of two sample means, while
ジュージュ
is the equation for the standard error of two population means.
✔Greek letters are usually used in the equations for population parameters, while Latin letters are usually used in the equations for sample statistics.
n₁
Latin letters are usually used in the equations for population parameters, while Greek letters are usually used in the equations for sample statistics.
The population parameter equation is only correct to use when the data set encompasses the entire population.
The sample statistic equation is correct to use when the data set is from a subset of the entire population.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd824104a-96bc-4561-8672-0656666c77c0%2Fc9d4ce9d-df8c-4038-a41d-9ca5103db4ed%2Fgjvutbm_processed.png&w=3840&q=75)
Transcribed Image Text:Beware the dangers of google.
Google is a great tool, but it is necessary to be skeptical and evaluate the provided results. For example, upon google searching "standard error of the difference between two means" the first hit is a link to a web page
from Keane University where the equation for the standard error of the difference between two means is given as
SE421-42
However, the text book gives the equation below as the standard error for the difference between two means as
SE
ヴェージュ
Why are these two formulas different? How can you tell? Which one is correct?
SE421-42
SE
n₁ n₂
ディージェ
=
is the equation for the standard error of two population means, while
n₁ n₂
SE
n₁
is the equation for the standard error of two sample means.
SEµ21-4₂= n₁ n₂
is the equation for the standard error of two sample means, while
ジュージュ
is the equation for the standard error of two population means.
✔Greek letters are usually used in the equations for population parameters, while Latin letters are usually used in the equations for sample statistics.
n₁
Latin letters are usually used in the equations for population parameters, while Greek letters are usually used in the equations for sample statistics.
The population parameter equation is only correct to use when the data set encompasses the entire population.
The sample statistic equation is correct to use when the data set is from a subset of the entire population.
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