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ELEN [110]
3 years ago
15

1.

Mathematics
1 answer:
GREYUIT [131]3 years ago
7 0

Answer:

Step-by-step explanation:

1.

James goes to an arcade.

He has one go on the Teddy Grabber.

He has one go on the Penny Drop.

The probability that he wins on the Teddy Grabber is 0.2.

The probability that he wins on the Penny Drop is 0.3.

(a) Complete the tree diagram.

Teddy Grabber

Penny Drop

Win

0.3

Win

0.2

Lose

Win

Lose

Lose

(2)

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I don’t really know I just need some points sry
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3 years ago
Are these numbers divisible by<br> 2,3,5,10<br> 444:<br> 90:<br> 45:
anyanavicka [17]

444 ÷ 2 = 222

444 ÷ 3 = 148   

90 ÷ 2 =  45   

 90 ÷ 3 =  30   

 90 ÷ 5 = 18 

90 ÷ 10 = 9

45 ÷  3 = 15   

 45 ÷ 5 = 9

So 444 can be divided into 2 and 3

90 can be divided into  2, 3, 5,  and 10

45 can be divided into  3 and 5

Hope this helps. :) 



6 0
3 years ago
Read 2 more answers
It’s asking for the area<br> Please help! Thank you!
Eddi Din [679]

Answer: x^2+9x+20

Step-by-step explanation:

To find the area you multiply the sides so it should be (x+4)(x+5) which is x^2+9x+20. Good luck!

6 0
3 years ago
Convert the fraction 2/11 to a decimal using long division
kupik [55]

Answer:

0.18181818181

Step-by-step explanation:


6 0
3 years ago
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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