Answer:
66) P = 38m
67) P = 32.7m
Step-by-step explanation:
Perimeter of triangle
P = a + b + c
P = 8 + 16 + 14
P = 38m
Perimeter of trapezoid
P = a + b + c + d
P = 6.4 + 13.6 + 6 + 6.7
P = 32.7
Answer:
x
-2 or 0≤x≤7
Step-by-step explanation:
Answer:
Table W represents a function
Step-by-step explanation:
Mathematically, for us to have a function , no two y-values can take a single x value
But it is possible that two x-values have a single y value
So let us make a selection from the table
We have the correct option as;
W
Answer:
D. I would expect the means and standard deviations in the two tests to be about the same, but the standard error in Test B should be smaller than in Test A.
Step-by-step explanation:
Options Includes <em>"A.) I would expect the means, the standard deviations, and the standard errors in Test A and Test B to be about the same.</em>
<em>B.) I would expect the means of the two tests to be about the same, but both the standard deviation and the standard error in Test B should be smaller than in Test A
.</em>
<em>C.) I would expect the means of the two tests to be about the same, but both the standard deviation and the standard error in Test B should be bigger than in Test A
.</em>
<em>D.) I would expect the means and standard deviations in the two test to be about the same, but the standard error in Test B should be smaller than in Test A.</em>
<em>E.) would expect the means and standard deviations in the two test to be about the same, but the standard error in Test B should be larger than in Test A.</em>
<em />
Reason:
Since we are measuring the same quantity 100 times and 1000 times respectively in both the tests, we would expect the means and standard deviations to not be significantly different from each other.
The standard errors would differ, though, since the formula is = Standard deviation/square root of sample size. Since the sample sizes of both the tests are so significantly different, the corresponding standard errors will also be significantly different. More specifically, the standard error of Test B will be smaller than that of Test A.
