Answer
14/15 kg
Step-by-step explanation:
Rewriting our equation with parts separated
=1+215−15
Solving the fraction parts
2/15−15=?
Find the LCD of 2/15 and 1/5 and rewrite to solve with the equivalent fractions.
LCD = 15
2/15−3/15=−1/15
Combining the whole and fraction parts
1−1/15=14/15
Solution by Formulas
converting mixed numbers to fractions, our initial equation becomes,
17/15−15
Applying the fractions formula for subtraction,
=(17×5)−(1×15)15×5
=85−15/75
=70/75
Simplifying 70/75, the answer is
=14/15
The discrete uniform distribution is on the interval 8 ≤ x ≤ 10.
Therefore the probability density function (shown in the figure) is
P(x) = 1/3 = 1/3 for x = 8, 9, 10
= 0 otherwse
The mean is μ = 1/3.
The variance is
σ² = Σp(x) (x- μ)²
Because x - μ = 0 for x = 8,9,10, therefore
σ² = 0
Answer:
μ = 1/3
σ² = 0
Answer:
The height of near by tree will be 90 feet.
Step-by-step explanation:
Considering the water triangle as shown in figure a.
As the old faithful shoots water 60 feet into the air that casts a shadow of 42 feet.
Considering the tree triangle as shown in figure a. The tree triangle has a shadow 63 feet long.
Let x be the height of near by tree that cost a shadow 63 feet long.
Assuming that the triangles are similar
So,
the ratios of similar triangles will be related as:




feet
Therefore, the height of near by tree will be 90 feet.
Keywords: ratio, similar triangle
Learn more about similar triangle from brainly.com/question/10161974
#learnwithBrainly
Answer:
Step-by-step explanation:
245000 last year
This year 25235
(y2 - y1) / y1)*100 = your percentage change
(where y1=start value and y2=end value)
(( £25.235 - £24.500) / £24.500) * 100 = 0 %
There ain't no percentage change as there needs to be a bigger difference between the two numbers plus u should use the formula
Answer:
Probability=
Step-by-step explanation:
As it is given that
Probability of toy A is defective is =P(A) = 
Probability of toy b is defective if A is defective = P (B)=
WE have to find the P(A n B)
By the law of Probability
P(A n B) = P (A).P(B)
putting the values given to us
P(AnB)=
* 
Probability=