Answer: a) 0.8413, b) 0.9987.
Step-by-step explanation:
Since we have given that
Mean = 3 pounds
Standard deviation = 0.25 pounds
n = 28 bricks
So, (a) What is the probability that all the bricks in the sample exceed 2.75 pounds?
b) What is the probability that the heaviest brick in the sample exceeds 3.75 pounds?
Hence, a) 0.8413, b) 0.9987.
Answer:
Explanation:
Ruby talks about a 3D shape, so sphere.
Shriya talks about the points that are equal in distance from the opposite points, the diameter, she is right.
Abhishek's definition is not shown completely in the photo, so by process of elimination, he is incorrect.
Prime factorization expresses an integer in terms of multiples of prime numbers. The prime factorization of 20 using exponents can be written as 2²×5¹.
Factorization is expressing a mathematical quantity in terms of multiples of smaller units of similar quantities.
Prime factorization is when all those factors are prime numbers.
Thus, prime factorization expresses an integer in terms of multiples of prime numbers.
The prime factorization of 20 using exponents can be written as,
20 = 1 × 2 × 2 × 5
= 2² × 5¹
Hence, the prime factorization of 20 using exponents can be written as 2²×5¹.
Learn more about prime factorization here:
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Answer:
Solution A: 120 ounces
Solution B: 30 ounces
Step-by-step explanation:
Let's call A the amount of Solution A. Solution A is 70% salt
Let's call B the amount of Solution B. Solution A is 95% salt
The resulting mixture should have 75% salt and 150 ounces .
Then we know that the total amount of mixture will be:
Then the total amount of salt in the mixture will be:
Then we have two equations and two unknowns so we solve the system of equations. Multiply the first equation by -0.95 and add it to the second equation:
+
--------------------------------------
We substitute the value of A into one of the two equations and solve for B.
Answer:
1.02 units3
Step-by-step explanation:
Answer:
Step-by-step explanation:
Given that a popcorn company builds a machine to fill 1 kg bags of popcorn. They test the first hundred bags filled and find that the bags have an average weight of 1,040 grams with a standard deviation of 25 grams.
i.e. Sample mean = 1040 and
Sample std dev s = 25 gm
Sample size n = 100
Hence by central limit theorem we have the sample mean follows a normal distribution with mean =1040 and std dev = s = 25 gm
Normal curve would be with mean 1040 and std deviatin 25
b) P(X>1115)
= 1-0.9987
=0.0013
i.e. 0.13% would receive a bag that had a weight greater than 1115 grams