Answer:
Me
Step-by-step explanation:
Answer:
A) True
Step-by-step explanation:
In an experiment that has the purpose of testing the efficacy of a procedure or drug, comparison is made against the efficacy of a placebo, a procedure or drug that is <em>intended to have no effect whatever</em>.
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Famously, a placebo is often found to be nearly as effective (or even more effective) than the procedure or drug on trial. This effect is known as "the placebo effect."
Answer:
The least number of tennis balls needed for the sample is 1849.
Step-by-step explanation:
The (1 - <em>α</em>) % confidence interval for population proportion is:
The margin of error for this interval is:
Assume that the proportion of all defective tennis balls is <em>p</em> = 0.50.
The information provided is:
MOE = 0.03
Confidence level = 99%
<em>α</em> = 1%
Compute the critical value of <em>z</em> for <em>α</em> = 1% as follows:
*Use a <em>z</em>-table.
Compute the sample size required as follows:
Thus, the least number of tennis balls needed for the sample is 1849.
Answer:
The answer is (5,-6)
Step-by-step explanation:
it's the only point that's both on the line and and further away from point A
Since the multiplication between two matrices is not <em>commutative</em>, then , regardless of the dimensions of .
<h3>Is the product of two matrices commutative?</h3>
In linear algebra, we define the product of two matrices as follows:
, where , and (1)
Where each element of the matrix is equal to the following dot product:
, where 1 ≤ i ≤ m and 1 ≤ j ≤ n. (2)
Because of (2), we can infer that the product of two matrices, no matter what dimensions each matrix may have, is not <em>commutative</em> because of the nature and characteristics of the definition itself, which implies operating on a row of the <em>former</em> matrix and a column of the <em>latter</em> matrix.
Such <em>"arbitrariness"</em> means that <em>resulting</em> value for will be different if the order between and is changed and even the dimensions of may be different. Therefore, the proposition is false.
To learn more on matrices: brainly.com/question/9967572
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