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makvit [3.9K]
2 years ago
7

3y-2x-4x+5x+7 please help meeeeeeeeeeee

Mathematics
2 answers:
Cloud [144]2 years ago
6 0

Answer:

3y-2x-4x+5x+7

please help meeeeeeeeeeee

Goryan [66]2 years ago
5 0

3y-2x-4x+5x+7\\\\=3y-x+7

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Six times a number is greater than 20 more than that number. What are the possible values of that number?
jek_recluse [69]
6n>20+n
6n-n>20
5n>20
n>4
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3 years ago
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How many factors of three does the number 135 have
ira [324]

1,3,5,9,15,27,45,135

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Suppose a brand of light bulbs is normally​ distributed, with a mean life of 1300 hr and a standard deviation of 50 hr. Find the
tatyana61 [14]

Answer:

Step-by-step explanation:

Since the life of the brand of light bulbs is normally​ distributed, we would apply the the formula for normal distribution which is expressed as

z = (x - u)/s

Where

x = life of the brand of lightbulbs

u = mean life

s = standard deviation

From the information given,

u = 1300 hrs

s = 50 hrs

We want to find the probability that a light bulb of that brand lasts between 1225 hr and 1365 hr. It is expressed as

P(1225 ≤ x ≤ 1365)

For x = 1225,

z = (1225 - 1300)/50 = - 1.5

Looking at the normal distribution table, the probability corresponding to the z score is

0.06681

For x = 1365,

z = (1365 - 1300)/50 = 1.3

Looking at the normal distribution table, the probability corresponding to the z score is

0.9032

Therefore

P(1225 ≤ x ≤ 1365) = 0.9032 - 0.06681 = 0.8364

7 0
3 years ago
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Black_prince [1.1K]
Check your last post :) I answered this
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2 years ago
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A coin is weighted so that the probability of obtaining a head in a single toss is 0.3. If the coin is tossed 35 times, what is
Vlada [557]

Answer:

(1) The correct answer is option (a) 0.510

(2) The correct answer is option (b) = 0.9664

(3) The correct answer is option (a)  0.8665

Step-by-step explanation:

1. Find attached of question 1

2.

n= 850

p= 0.1400  

here mean of distribution(μ) =n*p

                                               =850* 0.1400

                                                = 119  

standard deviation σ = √(np(1-p))

                                    = √(850*0.1400(1-0.1400))

                                    = √102.34

                                       =10.1163  

for normal distribution z score =(X-μ)/σx    

therefore from normal approximation of binomial distribution and continuity correction:

probability = P(X>100.5)

                   = P(Z>-1.83)

                   = 1-P(Z<-1.83)

                   = 1-0.0336

                   = 0.9664

3.

n = 1000

p = 0.08

mean of distribution(μ) =np

                                       = 1000*0.08

                                        = 80

and standard deviation σ=√(np(1-p))

                                    = √(1000*0.08(1-0.08))

                                    = √736

                                    = 8.5790

probability = P(X>70.5)

                   = P(Z>-1.11)

                    = 1-P(Z<-1.11)

                    = 1-0.1335

                    = 0.8665

8 0
3 years ago
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