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kiruha [24]
2 years ago
7

If you want a challenge then click me!

Mathematics
1 answer:
kirill [66]2 years ago
3 0

Answer:

5

Step-by-step explanation:

First find the value of 1/10 of 500 :

⇒ 1/10 × 500

⇒ 500/10

⇒ <u>50</u>

Now divide 50 by 10 to get the missing value :

⇒ 50/10

⇒ 5

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Alexia ran three laps around her neighborhood. Each lap is 1 and StartFraction 3 over 8 EndFraction miles. Which is the best est
Rama09 [41]

Answer:

4 1/2

Step-by-step explanation:

each lap is 1 3/8 times that by 3

3/8 * 3 = 1.125

1* 3 = 3

so would be 4.125

7 0
3 years ago
Read 2 more answers
3 over 4 open parentheses 1 half x space minus space 12 close parentheses space plus space 4 over 5
lesantik [10]

For this case we have the following expression:

\frac {3} {4} (\frac {1} {2} x-12) + \frac {4} {5}

Rewriting the expression we have:

We apply distributive property to the terms of parentheses:

\frac {3} {8} x- \frac {36} {4} + \frac {4} {5}\\\frac {3} {8} x-9 + \frac {4} {5}\\\frac {3} {8} x- \frac {41} {5}\\

Answer:

\frac {3} {8} x- \frac {41} {5}

4 0
2 years ago
Simplifying radicals
nexus9112 [7]

Answer:

its easy just do 7 times 145 wich is

Step-by-step explanation:

1015

8 0
2 years ago
Complete the following statement. The conditional probability of B given A can be found by​ _______. a. adding​ P(A) and​ P(B).b
Ksju [112]

Answer: Assuming that event A has occurred

Step-by-step explanation:

7 0
3 years ago
Problem: The mean number of bankruptcies filed per minute in the ` States in a recent year was about two. Find the probability t
tino4ka555 [31]
The number of companies is quite large. That is, n is quite large.
The probability that a company declares bankruptcy is quite small , p is quite small.
np = the mean number of bankruptcies = 2  = a finite number.
Hence we can apply Poisson distribution for the data.
P (x=5 | mean =2) = e-2 25/5! = e-2 * 32/120 = 0.036089
Alternatively 
=poisson(5,2,0) = 0.036089
P(x≥ 5 | mean =2) = 1- P( x ≤ 4) = 1- e-2 (1+2+22/2!+23/3!+24/4!)= 1-e-2 (1+2+2+8/6+16/24)= 1-e-2(7)
  =0.052653
Alternatively
= 1- poisson(4,2,1) =0.052653
P(X > 5 | mean =2) = 1- p(x
 ≤ 5) =1- e-2 (1+2+22/2!+23/3!+24/4!+25/5!)= 1-e-2(7+4/15)
  =0.016564
alternatively=1-poisson(5,2,1)
=0.016564
4 0
3 years ago
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