Musculoskeletal Health can be efficiently maintained by proper nutrition and regular physical exercise programs.
<h3>What does musculoskeletal health mean?</h3>
The expression 'musculoskeletal health' makes reference to the activities aimed at preserving the health of the muscles and skeletal system.
The muscles that are attached to the skeletal system are called skeletal muscles, and they can be maintained by proper nutrition (consuming proteins) and physical exercise.
Moreover, the bones of the skeletal system need calcium to maintain their strength and rigid structure.
In conclusion, musculoskeletal health can be efficiently maintained by proper nutrition and regular physical exercise programs.
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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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The Label of the the coronal view of the head based on the hints are given in the image attached.
<h3>What is a coronal view?</h3>
The coronal view or plane is known to be called the frontal plane that is said to share or divides the body into different parts which is the dorsal and ventral portions.
Note that looking at the image attached, one can see that the frontal view of the parts of the eyes such as the eyes, nose are well labeled.
Hence, The Label of the the coronal view of the head based on the hints are given in the image attached.
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Answer:
1.98
Explanation:
Solve for x by simplifying both sides of the equation, then isolating the variable.
x ≈ 1.98312584