The standard error of the difference of sample means is 0.444
From the complete question, we have the following parameters
<u>Canadians</u>
- Sample size = 50
- Mean = 4.6
- Standard deviation = 2.9
<u>Americans</u>
- Sample size = 60
- Mean = 5.2
- Standard deviation = 1.3
The standard error of a sample is the quotient of the standard deviation and the square root of the sample size.
This is represented as:
The standard error of the Canadian sample is:
So, we have:
The standard error of the American sample is:
So, we have:
The standard error of the difference of sample means is then calculated as:
This gives
Take square roots
Hence, the standard error of the difference of sample means is 0.444
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Answer:
Snails and clams have hard shells while grasshoppers and dragonflies have none. Snails and clams have soft spines while grasshoppers and dragonflies have none.
Explanation:
Answer:No i do not recall knowing sorry.
Explanation:
The specific operation that Julian and other team members perform on the shared workbook is; Enter Numbers.
<h3>How to use Microsoft Worksheets?</h3>
A worksheet is a tool in Microsoft that serves as a grid of columns as well as rows whereby users can add information and this contains several worksheets and can be named.
Now, since the project requires regular updates on the amount of work completed and deadlines achieved in a day, then it means one of the most important operation Julian and her team members can perform on the work book is to enter numbers.
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The degrees of freedom can be used to test a hypothesis about the mean.
<h3>What is degrees of freedom?</h3>
Degrees of freedom refers to the maximum number of logically independent values that have the freedom to vary, in the data sample.
Given, the sample size is 20, then degree of freedom will be
The degrees of freedom represented as
dof = n – 1
dof = 20 – 1
dof = 19
Thus, the degrees of freedom can be used to test a hypothesis about the mean.
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