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:
4
Step-by-step explanation:
2 (6 x + 4) - 6 + 2 x = 3 (4 x + 3) + 1
12x + 8 - 6 + 2x = 12x + 9 + 1
12x + 2 + 2x = 12x + 10
2x + 2 = 10
2x = 10 - 2
2x = 8
x = 4