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astra-53 [7]
3 years ago
7

Keisha just bought 8 bags of 16 cookies each. She already had 6 cookies in a jar. How many cookies does Keisha have now?

Mathematics
2 answers:
Papessa [141]3 years ago
7 0

Answer:

134 Cookies

Step-by-step explanation:

you first multiply 8 with 16

then you add six to the product

bija089 [108]3 years ago
3 0

Answer:

134

Step-by-step explanation:

She bought 8 bags with 16 each .

So we get 8x16 , which gives us , 128 .

She already had 6 cookies so we get our total from the ones she bought and add that to out initial value , 6 .

128+6= 134

In Conclusion Keisha has 134 cookies in all .

- I really hope this helped , I'm terribly sorry if it didn't. :,)

Stay safe and have a wonderful day ! <3

~Sleepy~

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ollegr [7]

Answer:

The probability that the aircraft  is  overload = 0.9999

Yes , The pilot has to be take strict action .

Step-by-step explanation:

P.S - The exact question is -

Given - Before every​ flight, the pilot must verify that the total weight of the load is less than the maximum allowable load for the aircraft. The aircraft can carry 37 ​passengers, and a flight has fuel and baggage that allows for a total passenger load of 6,216 lb. The pilot sees that the plane is full and all passengers are men. The aircraft will be overloaded if the mean weight of the passengers is greater than 6216/37 = 168 lb. Assume that weight of men are normally distributed with a mean of 182.7 lb and a standard deviation of 39.6.

To find - What is the probability that the aircraft is​ overloaded ?

         Should the pilot take any action to correct for an overloaded aircraft ?

Proof -

Given that,

Mean, μ = 182.7

Standard Deviation, σ = 39.6

Now,

Let X be the Weight of the men

Now,

Probability that the aircraft is loaded be

P(X > 168 ) = P(\frac{x - \mu}{\sigma} > \frac{168 - \mu}{\sigma} )

                 = P( z > \frac{168 - 182.7}{39.6} )

                 = P( z > -0.371)

                 = 1 - P ( z ≤ -0.371 )

                 = 1 - P( z > 0.371)

                 = 1 - 0.00010363

                 = 0.9999

⇒P(X > 168) = 0.9999

As the probability of weight overload = 0.9999

So, The pilot has to be take strict action .

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Step-by-step explanation:

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