Answer:
You graph each equation, then you find the intercepting point. the location of that point is the answer. You can also do it in equation form.
Answer:
A = Quartile 1 = 74.725
B = Median (quartile 2) = 80.25
C = Quartile 3 = 82.125
D = Minimum = 74.1
E = Maximum = 82.7
Step-by-step explanation:
The values for the data for the average life expectancy are as follows;
North Carolina 79.6
Oregon 82
District of Columbia 77.9
Nevada 81.3
New York 82.5
Colorado 80.9
Alaska 74.9
Connecticut 82.7
Montana 74.1
Mississippi 74.2
Sorting the data we have;
74.1
74.2
74.9
77.9
79.6
80.9
81.3
82
82.5
82.7
The minimum value is 74.1
The maximum value is 82.7
The 1st quartile is the
term or 74.725
The median 2nd quartile is the
term and the value is 80.25
Third quartile value is the
term or 82.125.
Answer:
C ≈ 95.7°
Step-by-step explanation:
Law of cosines:
c² = a² + b² − 2ab cos C
where a, b, and c are the sides of the triangle, and C is the angle opposite of side c.
9² = 5² + 7² − 2(5)(7) cos C
81 = 25 + 49 − 70 cos C
81 = 25 + 49 − 70 cos C
7 = -70 cos C
-1/10 = cos C
C ≈ 95.7°
The cost of one book = $ 6 7
Number of books = 1 0 2
The cost of 102 books = $ 67 × 102
= $ 6834
Therefore, cost of 102 books = $ 6834
Answer:
Type I: 1.9%, Type II: 1.6%
Step-by-step explanation:
given null hypothesis
H0=the individual has not taken steroids.
type 1 error-falsely rejecting the null hypothesis
⇒ actually the null hypothesis is true⇒the individual has not taken steroids.
but we rejected it ⇒our prediction is the individual has taken steroids.
typr II error- not rejecting null hypothesis when it has to be rejected
⇒actually null hypothesis is false ⇒the individual has taken steroids.
but we didnt reject⇒the individual has not taken steroids.
let us denote
the individual has taken steroids by 1
the individual has not taken steroids.by 0
predicted
1 0
actual 1 98.4% 1.6%
0 1.9% 98.1%
so for type 1 error
actual-0
predicted-1
therefore from above table we can see that probability of Type I error is 1.9%=0.019
so for type II error
actual-1
predicted-0
therefore from above table we can see that probability of Type I error is 1.6%=0.016