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laiz [17]
2 years ago
9

What is mC ? Enter your answer in the box

Mathematics
1 answer:
GalinKa [24]2 years ago
4 0

Answer:

millicoulomb

Step-by-step explanation:

millicoulomb is 1*10^-3 Coulombs

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HELP PLS, I WILL GIVE BRAINIEST
alexira [117]

Answer:

THE CORRECT ANSWER IS 0.6

Step-by-step explanation:

6/10=0.6

5 0
2 years ago
What does88tens+389ones+21thousads=?
Kryger [21]

Answer:22,069

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
The probability of flu symptoms for a person not receiving any treatment is 0.038. In a clinical trial of a common drug used to
alexgriva [62]

Answer:

36.32% probability that at least 47 people experience flu symptoms. This is not an unlikely event, so this suggests that flu symptoms are not an adverse reaction to the drug.

Step-by-step explanation:

I am going to use the normal approximation to the binomial to solve this question.

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 samples 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)}.

In this problem, we have that:

n = 1164, p = 0.038

So

\mu = E(X) = np = 1164*0.038 = 44.232

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = 6.5231

Estimate the probability that at least 47 people experience flu symptoms.

Using continuity correction, this is P(X \geq 47 - 0.5) = P(X \geq 46.5), which is 1 subtracted by the pvalue of Z when X = 46.5.

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

Z = \frac{46.5 - 44.232}{6.5231}

Z = 0.35

Z = 0.35 has a 0.6368

1 - 0.6368 = 0.3632

36.32% probability that at least 47 people experience flu symptoms. This is not an unlikely event, so this suggests that flu symptoms are not an adverse reaction to the drug.

6 0
2 years ago
13 candy bars weigh 26 ounces. what is the weight of 35 candy bars?
anygoal [31]
26 oz/13 bars = 2 oz/1 bar

Each bar weighs 2 oz

multiply the amount of bars to the amount they weigh:

35 x 2 = 70

35 bars weigh 70 oz

hope this helps
6 0
3 years ago
while swimming a 2km race, Adam changes from breaststroke to butterfly every 200m. How many times does he switch strokes during
aleksley [76]

in the first half he would have swam 1 km. there are 1000m in a km so 1000/200=5 so he swam the first 200 fly, then a 200 breast, then a 200 fly again, then another 200 breast the finish the first 1 km with a 200 fly. so we switched strokes 4 times.





PS i wouldn't recommend doing a 2 km swim fly and breast

8 0
3 years ago
Read 2 more answers
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