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
Read more about standard errors at:
brainly.com/question/6851971
Answer:
And if we have a binomial times a binomial we'll have four products or we can think of this as double distribution. We distribute the a so we'd have a times C plus a times D.
Explanation:
how may i ask bc it does not say and how many points or something or am i taking this too literally
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