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nlexa [21]
2 years ago
8

Rory records the percentage of battery life remaining on his phone throughout a day. The battery life decreases as Rory uses the

phone, but will increase or stay at 100% while charging. The graph represents the percentage of battery life remaining after a certain number of hours.
Mathematics
1 answer:
GarryVolchara [31]2 years ago
6 0

Answer: At which times could Rory’s phone have been plugged into the charger? Select three options. (Edgenuity answers)

9

11

19

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today, 6 friends went out for lunch. their total Bill was $41.88, including tax and gratuity. they decide to split the Bill equa
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Each person will get back $3.02

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If a(x)=2x-4 and b(x) =x+2, which of the following expressions produces a quadratic function?
ZanzabumX [31]

Answer:

(ab)(x)

Step-by-step explanation:

The complete question in the attached figure

we have

a(x)=2x-4\\b(x)=x+2

we know that

(ab)(x) is equal to the product of a(x) and b(x)

so

(ab)(x)=(2x-4)(x+2)

Applying distributive property

(ab)(x)=2x(x)+2x(2)-4(x)-4(2)

(ab)(x)=2x^2+4x-4x-8

(ab)(x)=2x^2-8

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The other expressions not produce a quadratic equation

5 0
3 years ago
What is 8/45 in simplest form
melomori [17]

Answers

8/45

is already in the simplest form. It can be written as 0.177778 in decimal form (rounded to 6 decimal places).

Step-by-step explanation:

5 0
2 years ago
In a given year, the average annual salary of a NFL football player was $189,000 with a standard deviation of $20,500. If a samp
nika2105 [10]

Answer:

15.15% probability that the sample mean will be $192,000 or more.

Step-by-step explanation:

To solve this problem, we need 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 s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 189000, \sigma = 20500, n = 50, s = \frac{20500}{\sqrt{50}} = 2899.14

The probability that the sample mean will be $192,000 or more is

This is 1 subtracted by the pvalue of z when X = 192000. So

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

By the Central Limit Theorem

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

Z = \frac{192000 - 189000}{2899.14}

Z = 1.03

Z = 1.03 has a pvalue of 0.8485.

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15.15% probability that the sample mean will be $192,000 or more.

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2 years ago
PLEASE HELP MEE it’s urgent
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Answer:

positive9/50

Step-by-step explanation:

9/50

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