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Elina [12.6K]
3 years ago
11

What is 1.6 to the nearest whole number

Mathematics
2 answers:
slavikrds [6]3 years ago
8 0
The answer to this question is 2
mylen [45]3 years ago
5 0
1.0 hope this helped
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The voltage across the capacitor increases as a function of time when an uncharged capacitor is placed in a single loop with a r
dmitriy555 [2]

Answer:

1. Exponential

Step-by-step explanation:

The simplest RC-Circuit, that is, a capacitor and a resistor in a series configuration can be modeled by using Ohm's Law and Kirchhoff's Circuit Laws:

C \cdot \frac{dV}{dt} + \frac{V}{R} = 0

By rearranging the formula, an homogeneous linear first-order differential equation is found:

\frac{dV}{dt} + \frac{1}{R \cdot C} \cdot V = 0

Whose solution has the form of a exponential model:

V(t) = V_{o} \cdot e^{-\frac{t}{R \cdot C} }

7 0
3 years ago
Scientific notation!
Gekata [30.6K]
3.7x10^6
7.05x10^8
21
2.56x10^-5
9.9x10^-5
3.3x10^-3
8.6
6.48x10^5
8 0
3 years ago
An automatic doughnut machine can produce 1500 doughnuts in 9 hours.
Svetllana [295]

Answer:

1 hr, 48 minutes

Step-by-step explanation:

you can create a proportion:

doughnuts/hours = doughnut/hours (h)

1500/9 = 300/h

cross-multiply to get:

1500h = 2700

h = 27/15

h = 1 12/15, which is 1 hr, 48 minutes because 12/15 = 48/60

7 0
2 years ago
A triangle has sides measuring 4 inches 3 inches and 4 inches what kind of triangle is it?
mestny [16]
The answer should be isosceles
7 0
3 years ago
Consider the probability that no less than 95 out of 152 registered voters will vote in the presidential election. Assume the pr
nikdorinn [45]

Answer:

0.3821 = 38.21% probability that no less than 95 out of 152 registered voters will vote in the presidential election.

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)}.

Assume the probability that a given registered voter will vote in the presidential election is 61%.

This means that p = 0.61

152 registed voters:

This means that n = 152

Mean and Standard deviation:

\mu = E(X) = 152*0.61 = 92.72

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{152*0.61*0.39} = 6.01

Probability that no less than 95 out of 152 registered voters will vote in the presidential election.

This is, using continuity correction, P(X \geq 95 - 0.5) = P(X \geq 94.5), which is 1 subtracted by the pvalue of Z when X = 94.5. So

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

Z = \frac{94.5 - 92.72}{6.01}

Z = 0.3

Z = 0.3 has a pvalue of 0.6179

1 - 0.6179 = 0.3821

0.3821 = 38.21% probability that no less than 95 out of 152 registered voters will vote in the presidential election.

6 0
3 years ago
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