As a statistical question is one that can be addressed using statistical methods or analysis, looking at the responses to a question can help identify whether it is a statistical question.
In order to provide a response to a question regarding a population or sample, statistical inquiries typically entail gathering and evaluating data. Consequently, a statistical question's responses would require some sort of data analysis or interpretation.
As a result, we can tell if a question is statistical by looking at the replies and seeing if it requires the use of statistical techniques and data analysis to answer.
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When two sample means are significantly different
Group of answer choices
The pooled variance estimate should not be used
The difference is too great to attribute to chance
The corresponding population means are significantly different
The difference is of practical importance
When two sample means are significantly different, "the difference is too great to attribute to chance".
What is statistical significance?The likelihood of finding a difference between two samples (such means or proportions) through pure chance is known as statistical significance. The likelihood of obtaining the observed difference if there were no actual difference between the associated population parameters is calculated to ascertain this. The difference is deemed statistically significant if the p-value is below a predetermined cutoff (often 0.05).
Significant difference between two sample means indicates that the likelihood of such a difference occurring by chance alone is low. If there is a true difference between the matching population means from which the samples were selected, it shows that the difference between the sample means is too large to be explained by chance.
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Différenciation implicit function containing product and quotient. d/dx (2y/5x)
Answer:
To differentiate the given expression, we will need to use both the product rule and the quotient rule.
Let's first rewrite the expression using the reciprocal identity for x:
2y/5x = 2y * (5x)^(-1)
Now we can use the product rule and the quotient rule to find the derivative with respect to x:
d/dx [2y * (5x)^(-1)] = 2y * d/dx[(5x)^(-1)] + (5x)^(-1) * d/dx[2y]
Using the chain rule, we can find the derivative of (5x)^(-1) with respect to x:
d/dx[(5x)^(-1)] = -1/(5x)^2 * 5 * (dx/dx)
d/dx[(5x)^(-1)] = -1/(5x)^2
Using the chain rule again, we can find the derivative of 2y with respect to x:
d/dx[2y] = 2 * (dy/dx)
Substituting these expressions back into the original equation, we get:
d/dx [2y/5x] = 2y * (-1/(5x)^2) + (5x)^(-1) * 2 * (dy/dx)
Simplifying this expression, we get:
d/dx [2y/5x] = -2y/(5x)^2 + 2/(5x) * (dy/dx)
Therefore, the derivative of 2y/5x with respect to x is -2y/(5x)^2 + 2/(5x) * (dy/dx).
Nick's new home had a purchase price of $145,500. He got a 30-year fixed mortgage for 75% of the purchase price. The interest rate on the loan is 3.15%. What is his monthly payment?
Nick's monthly mortgage payment is $482.16.
What is statistics?
Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of numerical data.
To calculate Nick's monthly mortgage payment, we first need to find out the amount he borrowed from the bank, which is 75% of the purchase price:
$145,500 x 0.75 = $109,125
Next, we need to calculate the monthly interest rate. We can do this by dividing the annual interest rate (3.15%) by 12:
3.15% / 12 = 0.002625
Now we can use the following formula to calculate Nick's monthly payment:
M = P [ [tex]i(1 + i)^{n}[/tex] ] / [ [tex](1 + i)^{n}[/tex] – 1]
Where:
M = Monthly payment
P = Loan amount (principal)
i = Monthly interest rate
n = Number of payments (in months)
Plugging in the values we have:
M = $109,125 [ 0.002625 [tex](1 + 0.002625)^{360}[/tex] ] / [ [tex](1 + 0.002625)^{360}[/tex] – 1]
M = $482.16
Therefore, Nick's monthly mortgage payment is $482.16.
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