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salantis [7]
3 years ago
8

Please answer correctly !!!!! Will mark brainliest !!!!!!!!!!!!

Mathematics
1 answer:
Zarrin [17]3 years ago
5 0

Answer:

Up by 3 units, right by 9 units.

Step-by-step explanation:

The subtraction in (x-9)^2 makes the function shift to the right, adding would make it shift left! Adding numbers to the equation would make the function go up, and subtracting would make it go down. Hope this helps :)

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Jackie has a prepaid Green Phone that charges 22 cents per text message sent or received. Jackie prepays $40 on her phone.
anyanavicka [17]
Hi there !

(40-6.56)/0.22 = 152
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4 years ago
What is the difference between a population distribution and a sampling distribution
Fittoniya [83]

The difference between a population distribution and sampling a distribution

Definition: The Population Distribution is a form of probability distribution that measures the frequency with which the items or variables that make up the population are drawn or expected to be drawn for a given research study.

Defintion: The Sampling Distribution is a form of probability of a random sample out of a group of frequency which is made up of the sample of which the population has been picked out of, making it a partial research study

8 0
3 years ago
5. Is s = 8 a solution to the inequality below? a) s < 2​
JulijaS [17]

Answer:

Step-by-step explanation:

no, as 8 is not <2

4 0
3 years ago
You bake a batch of muffins. You freeze 6 muffins and share the rest equally among yourself and 2 friends. Write an
dimulka [17.4K]
This makes sense to me: m=(y-6)/3

m is the number of muffins each friend gets, y is the original quantity of muffins, -6 is = to the number of muffins you freeze, and the /3 is to split the remaining (unfrozen) muffins equally.
4 0
3 years ago
Read 2 more answers
An electrical firm manufactures light bulbs that have a length of life that is approximately normally distributed, with mean equ
kompoz [17]

Answer:

0.62% probability that a random sample of 16 bulbs will have an average life of less than 775 hours.

Step-by-step explanation:

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 \frac{\sigma}{\sqrt{n}}

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.

In this problem, we have that:

\mu = 800, \sigma = 40, n = 16, s = \frac{40}{\sqrt{16}} = 10

Find the probability that a random sample of 16 bulbs will have an average life of less than 775 hours.

This probability is the pvalue of Z when X = 775. So

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

Z = \frac{775 - 800}{10}

Z = -2.5

Z = -2.5 has a pvalue of 0.0062. So there is a 0.62% probability that a random sample of 16 bulbs will have an average life of less than 775 hours.

5 0
4 years ago
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