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Deffense [45]
3 years ago
6

PLEASE HELP FAST WILL GIVE BRAINLIEST

Mathematics
2 answers:
Fed [463]3 years ago
5 0

Answer:

b

Step-by-step explanation:

Brrunno [24]3 years ago
4 0

Answer:

b

Step-by-step explanation:

i just did it

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The heart rate of 10 football players is sampled. The rates measured in beats per minute are 62,74,74,64,76,6480,76,68,76
Alona [7]

Answer:

71.4

Step-by-step explanation:

The Test

7 0
3 years ago
Jack bought 4 bagels for $3.00.How many bagels can he buy for $4.50?
nydimaria [60]

Answer:

He can buy 6 bagels.

Step-by-step explanation:

In order to figure out how much each bagel is, you need to divide $3.00 by 4. This gives you .75 because 3.00/4=75. Each bagel is therefore $0.75. Now, in order to find how many bagels you can buy with $4.50, you have to divide 4.50 by 0.75. The equation is 450/75=6. You can buy 6 bagels with $4.50.

Let me know if you need any more help. Have a nice day. :)

8 0
3 years ago
Read 2 more answers
The original price of a camera is $150. If a discount of 30% is given, what is the amount of this discount ?
shtirl [24]

Question

The original price of a camera is $150. If a discount of 30% is given, what is the amount of this discount ?


150 : 100 * 30 =

45$ is your answer

---------------------


4 0
3 years ago
What is the answer for the first one
Rasek [7]
I think the answer's 45
7 0
3 years ago
Read 2 more answers
c. Assume that the manufacturer's claim is true, what is the probability of such a tire lasting more than 60,000 miles?
KATRIN_1 [288]

Answer:

The probability of such a tire lasting more than 60,000 miles is 0.0228, for the complete question provided in explanation.

Step-by-step explanation:

<h2>Q. This is the question: </h2>

The lifetime of a certain type of car tire are normally distributed. The mean lifetime of a car tire is 50,000 miles with a standard deviation of 5,000 miles. Assume that the manufacturer's claim is true, what is the probability of such a tire lasting more than 60,000 miles?

<h2>Answer:</h2>

This is the question of normal distribution:

First w calculate the value of Z corresponding to X = 60,000 miles

We, have; Mean = μ = 50,000 miles, and Standard Deviation = σ = 5,000 miles

Now, for Z, we know that:

Z = (x-μ)/σ

Z = (60,000 - 50,000)/5,000

<u>Z = 2</u>

Now, we have standard tables, for normal distribution in terms of values of Z. One is attached in this answer.

P(X > 60,000) = P(Z > 2) = 1 - P(Z = 2)

P(X > 60,000) = 1 - 0.9772

<u>P(X > 60,000) = 0.0228</u>

4 0
3 years ago
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