The sample standard deviation is used to calculate the determine the spread of estimates for a set of observations (i.e., a data set) from the mean (average or expected value).
<h3>What is sample standard deviation?</h3>
The spread of a data distribution is measured by standard deviation. The average distance between each data point and the mean is measured.
The sample standard deviation (s) is a measurement of the variation from the expected values and is equal to the sample variance's square root.
where
s = sample standard deviation
N = the number of observations
= the observed values of a sample item
= the mean value of the observations
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The statement is false, as the system can have no solutions or infinite solutions.
<h3>
Is the statement true or false?</h3>
The statement says that a system of linear equations with 3 variables and 3 equations has one solution.
If the variables are x, y, and z, then the system can be written as:
Now, the statement is clearly false. Suppose that we have:
Then we have 3 parallel equations. Parallel equations never do intercept, then this system has no solutions.
Then there are systems of 3 variables with 3 equations where there are no solutions, so the statement is false.
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251,000
For this check the hundreds, tens, ones. If it's 500 of more round it up
Answer:
Step-by-step explanation:
<u>Use the slope-intercept form, which will be in this case:</u>
- g(u) = mu + b, where m is the slope, b is the y- intercept
<u>Find the slope:</u>
<u>Find the value of the y-intercept:</u>
<u>The equation is:</u>
Answer:
A. Matrix A
Step-by-step explanation:
When you put a systems of linear equations in matrix form, you take only the coefficients of the <em>xy </em>terms and sort them. <em>x</em> goes first, <em>y</em> comes after, and the numbers after the bars are the constants.