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Allushta [10]
4 years ago
6

In the 1996 Summer Olympics Michael Johnson set a world record in the 200 m around with a time of 19.32 seconds this broke his r

ecord in the 1996 Olympic trials of 19.66 seconds how much faster was johnson it in the actual Olympics
Mathematics
1 answer:
sesenic [268]4 years ago
5 0
Johnson was 0.34 seconds faster in the actual Olympics
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Evaluate if w = –2.1 and z = 5.7.<br> w – z – 4
Alex777 [14]
The answer will be -13.8
5 0
3 years ago
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When two of the three numbers are added at a time, the possible sums are 32, 39, 23. What is the sum of all three numbers?
arsen [322]

Answer:

47

Step-by-step explanation:

Let a, b, and c be those three numbers.

When two of the three numbers are added at a time, the possible sums are 32, 39, 23. Let

a+b=32\\ \\a+c=39\\ \\b+c=23

Add these three equations:

a+b+a+c+b+c=32+39+23\\ \\2a+2b+2c=94

Divide this equation by 2:

a+b+c=47

The sum of all three numbers is 47.

4 0
4 years ago
Suppose that 11% of all steel shafts produced by a certain process are nonconforming but can be reworked (rather than having to
attashe74 [19]

Answer:

0.9726 = 97.26% approximate probability that X is at most 30

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

11% of all steel shafts produced by a certain process are nonconforming but can be reworked (rather than having to be scrapped).

This means that p = 0.11

Random sample of 200 shafts

This means that n = 200

Mean and Standard deviation:

\mu = E(x) = np = 200*0.11 = 22

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{200*0.11*0.89} = 4.42

(a) What is the (approximate) probability that X is at most 30

Using continuity correction, this is P(X \leq 30 + 0.5) = P(X \leq 30.5), which is the pvalue of Z when X = 30.5. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{30.5 - 22}{4.42}

Z = 1.92

Z = 1.92 has a pvalue of 0.9726.

0.9726 = 97.26% approximate probability that X is at most 30

8 0
3 years ago
Find the value of w,then x. Round to the nearest tenth
andreyandreev [35.5K]

Answer:

A

Step-by-step explanation:

12 / tan 42 = 13.32......

12 / sin 27 = 26.43....

26.43² - 12² = 552.24....

square root of 552.24... = 23.5

23.5 - 13.3 = 10.2

7 0
3 years ago
HELP UUUURRRRRRRGGGGGEEEEEENNNNTTTTT PLLLLZZZZZ IM BAD AT MATHHHHHHHH
fomenos

Answer:

-1 8/9

Step-by-step explanation:

w + ( - x)

w = -5/9

z = 4/3

Input:

-5/9 + ( -4/3)

-5/9 - 4/3

-4/3 * 3/3 = -12/9

-5/9 - 12/9 = -17/9 = -1 8/9

If my answer is incorrect, pls correct me!

If you like my answer and explanation, mark me as brainliest!

-Chetan K

4 0
3 years ago
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