Answer:
The proportion of measurements between 25 and 55
P( 25 ≤ X≤ 55) = 0.6826
Step-by-step explanation:
<u><em>Step(i):-</em></u>
Given that the mean of the Population = 40
Given that standard deviation of the Population = 15
Let 'x' be the random variable in normal distribution
Let 'X' = 25
Let 'X' = 55
<u><em>Step(ii):-</em></u>
The probability that between 25 and 55
P( 25 ≤ X≤ 55) = P( -1≤z≤1)
= A(1) - A(-1)
= A(1) + A(1)
= 2 × A(1)
= 2× 0.3413
= 0.6826
The proportion of measurements between 25 and 55
P( 25 ≤ X≤ 55) = 0.6826
<u><em>Final answer:-</em></u>
The proportion of measurements between 25 and 55
P( 25 ≤ X≤ 55) = 0.6826
Answer: Slope = -2.667/2.000 = -1.333
x-intercept = 5/4 = 1.25000
y-intercept = 5/3 = 1.66667
Step-by-step explanation: Slope is defined as the change in y divided by the change in x. We note that for x=0, the value of y is 1.667 and for x=2.000, the value of y is -1.000. So, for a change of 2.000 in x (The change in x is sometimes referred to as "RUN") we get a change of -1.000 - 1.667 = -2.667 in y. (The change in y is sometimes referred to as "RISE" and the Slope is m = RISE / RUN)
Hello!
To find the interquartile range, subtract the value of the upper quartile from the value of the lower quartile.
33 - 25 = 8
The interquartile range is 8. Hope I helped! :3
Answer:
i justr f arted really loud LOL
Step-by-step explanation:
The missing number is 12. The sequence goes 7, 12, 17. If you subtract five from each number, you get the one before it.
