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expeople1 [14]
3 years ago
6

At 7 PM, the temperature outside was -5°C. What does |-5| represent in this situation?

Mathematics
1 answer:
antoniya [11.8K]3 years ago
7 0

Answer:

2- the number of degrees between 0°C and -5°C

Step-by-step explanation:

Absolute Value means how far a number is from zero

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While conducting experiments, a marine biologist selects water depths from a uniformly distributed collection that vary between
mr_godi [17]

Answer: The expected value of the water depth is 4.5 m.

Step-by-step explanation:

Let x be a random variable which is uniformly distributed in interval [a,b] .

Then the mean of the distribution is ghiven by :-

E(x)=\dfrac{a+b}{2}

Given : While conducting experiments, a marine biologist selects water depths from a uniformly distributed collection that vary between 2.00 m and 7.00 m.

Then, the expected value of the water depth = \dfrac{2+7}{2}=\dfrac{9}{2}=4.5

Hence, the expected value of the water depth is 4.5 m.

4 0
3 years ago
5(3q-1)5q+15<br><br><br><br> Who can find the variable for this
Natali [406]

Answer:

<h3>-5(2q - 3)</h3>

Step-by-step explanation:

5(3q - 1)5q + 15 \\ 15q - 5 \times 5q + 15 \\ 15q - 25q + 15 \\  - 10q + 15 \\  - 5(2q - 3) \\

7 0
3 years ago
Can anyone solve this for me? and show how you got that answer?
Mashutka [201]

53=20+x

Subtract 20 from 20 and 53

33=x

Hope this helps!

P.S.

Nice tab theme :P

6 0
3 years ago
A racing car consumes a mean of 100 gallons of gas per race with a variance of 64. If 44 racing cars are randomly selected, what
lesantik [10]

Answer:

83.89% probability that the sample mean would be greater than 98.8 gallons

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples are 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.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation, which is also called standard error s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

The standard deviation is the square root of the variance. So

\mu = 100, \sigma = \sqrt{64} = 8, n = 44, s = \frac{8}{\sqrt{44}} = 1.21

If 44 racing cars are randomly selected, what is the probability that the sample mean would be greater than 98.8 gallons

This probability is 1 subtracted by the pvalue of Z when X = 98.8. So

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

By the Central Limit Theorem

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

Z = \frac{98.8 - 100}{1.21}

Z = -0.99

Z = -0.99 has a pvalue of 0.1611

1 - 0.1611 = 0.8389

83.89% probability that the sample mean would be greater than 98.8 gallons

4 0
3 years ago
A proton initially has and then 8.00 s later has (in meters per second). (a) For that 8.00 s, what is the proton's average accel
svet-max [94.6K]

Answer:

Some details are missing in the question, here are the details ; A proton initially has v = -6.5i + 17j + 13k and then 8.00s later has v = -2.8i + 17j - 9.3k (in meters per seconds).

a) proton's average acceleration in unit vector notation = 0.46i - 2.78k

b) Magnitude = 2.85m/s2

c) angle between and the positive direction of the x axis = 279.39 degree (counter clockwise)

Step-by-step explanation:

The detailed and step by step explanation is as shown in the attachment

8 0
3 years ago
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