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LiRa [457]
3 years ago
7

Alexa is researching a cure for the coronavirus. She needs 14 test tubes for 4 experiments. The first experiment requires 2 test

tubes, and the remainder of the tubes are used evenly over the rest of the experiments. How many test tubes did she use for the last experiment?
Mathematics
1 answer:
grigory [225]3 years ago
6 0

Answer:

She used 4 test tubes for the last experiment

Step-by-step explanation:

Total test tubes needed = 14

Experiment 1 = 2 test tubes

Total test tubes remaining = total - used

= 14 - 2

= 12 test tubes

Remaining experiment = 4 - 1

= 3

Test tubes used for the remaining experiment = test tubes remaining / Experiment remaining

= 12 / 3

= 4 test tubes

How many test tubes did she use for the last experiment?

She used 4 test tubes for the last experiment

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43.5 cm²

Step-by-step explanation:

½ × 12 × 8 × sin(65)

= 43.50277378 cm²

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3 years ago
What is this number in standard form?
attashe74 [19]

The number (7×100)+(4×1/100)+(8×1/1,000) in standard form is 7.0048 × 10²

<h3>How to write number in standard form?</h3>

The number can be represented in standard form as follows:

(7 × 100) + (4 × 1/100)+(8 × 1/1,000)

Therefore,

7 × 100 = 700 = 7 × 10²

4 × 1/100 = 4 × 10⁻²

8 × 1/1,000 = 8 × 10⁻³

Therefore,

7 × 10² + 4 × 10⁻² + 8 × 10⁻³ = 700.048 = 7.0048 × 10²

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6 0
2 years ago
Which angle is complementary to &lt;1?
Brrunno [24]

Answer:

I don't know sorry but have a nice time answering this question

7 0
2 years ago
Of the total population of the United States, 20% live in the northeast. If 200 residents of the United States are selected at r
Snezhnost [94]

Answer:

0.0465 = 4.65% probability that at least 50 live in the northeast.

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 = 200, p = 0.2

So

\mu = E(X) = np = 200*0.2 = 40

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{200*0.2*0.8} = 5.65685

Approximate the probability that at least 50 live in the northeast.

Using continuity correction, this is P(X \geq 50 - 0.5) = P(X \geq 49.5, which is 1 subtracted by the pvalue of Z when X = 49.5. So

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

Z = \frac{49.5 - 40}{5.65685}

Z = 1.68

Z = 1.68 has a pvalue of 0.9535

1 - 0.9535 = 0.0465

0.0465 = 4.65% probability that at least 50 live in the northeast.

3 0
3 years ago
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