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:Arts, A/V Technology & Communications Career Cluster
Telecommunications Career Pathway
Film and Video Editors
Journalism & Broadcasting Career Pathway
Visual Arts Career Pathway
Explanation:
Plato
Based on the number of years, and the number of nesting sites, the exponential function that best models the data is B. n(x) = 46,797(0.93)ˣ.
<h3>What function best models the data?</h3>
You can find the correct function by testing out the options with the given x value to see if it correctly predicts the number of nesting sites.
Function n(x) = 25,956.80(1.08)ˣ
Assuming x is 3:
= 25,956.80(1.08)³
= 32,698 sites
This function does not predict the correct number of sites which is 40,513.
Function n(x) = 46,797(0.93)ˣ
Assuming x is 3:
= 46,797(0.93)³
= 37,438 sites
This is closer to the predicted number of 40,513 sites with some discrepancy.
In conclusion, option B is correct.
Find out more on exponential functions at brainly.com/question/12940982.
