Answer:
The probability that a value in the data set is greater than or equal to 162
P(X≥162) = 0.0207
<u>Step-by-step explanation:</u>
<u>Step(i)</u>:-
Given mean of the Population = 115
Given standard deviation of the Population = 23
Let 'x' be the random variable of normal distribution
Let x = 162

z = 2.043
<u><em>Step(ii)</em></u>:-
<em>The probability that a value in the data set is greater than or equal to 162</em>
<em>P(X>x) = P(Z>z) = P(Z> 2.043)</em>
P(X≥162) = P(Z≥2.043) = 1-P(Z≤ 2.043)
= 1- ( 0.5 +A(2.043)
= 1-0.5 -A(2.043)
= 0.5 - 0.4793
= 0.0207
<u><em>Final answer</em></u>:-
<em>The probability that a value in the data set is greater than or equal to 162</em>
<em>P(X≥162) = 0.0207</em>
<em></em>
Answer:
height= 9 cm
Step-by-step explanation:
Answer:
option C
Step-by-step explanation:
the solutions to function x^2 -9x +14 are (x-7) and (x-2)
through the zero product property
(x-7)=0
x=7
and
(x-2)=0
x=2
Pick one question please so it's easier for us to read from here
<span>The level of measurement of the number of rooms in a single-family house is ratio scale.
A ratio scale </span><span>has measurements where the difference between values is meaningful. In other words, the differences between points on the scale are measurable and exactly equal. For example, the difference between 2 rooms and 4 rooms in a single family house is 2 rooms and is equal to the distance between 3 rooms and 5 rooms.
Also</span> the ratio scale has <span>has a meaningful zero. The zero in a ratio scale means that something doesn’t exist. For example, there are 0 rooms in a single family house means that there is no room in the house.</span>