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garri49 [273]
3 years ago
5

For babysitting, Nicole charges a flat fee of $3, plus $5 per hour. Write an equation for the cost,c, after h hours of babysitti

ng. What do you think the slope and the y- intercept represent? How much money will she make if she baby-sits 5 hours
Mathematics
1 answer:
Elina [12.6K]3 years ago
6 0

C=3+5x

C=3+5(5)

C=3+25

C=28

She will make 28$


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The mass of a block of stone is 2,000 kg. If the block has a volume of 0.5m
rodikova [14]
Density = Mass / Volume = 2000/0.5
Density = 4000 Kg/m^3 
4 0
4 years ago
The weight of crackers in a box is stated to be 16 ounces. The amount that the packaging machine puts in the boxes is believed t
krek1111 [17]

Answer:

99.99% probability that the mean weight of a 50-box case of crackers is above 16 ounces

Step-by-step explanation:

To solve this question, 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 normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 16.15, \sigma = 0.3, n = 50, s = \frac{0.3}{\sqrt{50}} = 0.0424

What is the probability that the mean weight of a 50-box case of crackers is above 16 ounces?

This is 1 subtracted by the pvalue of Z when X = 16. So

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

By the Central Limit Theorem

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

Z = \frac{16 - 16.15}{0.0424}

Z = -3.54

Z = -3.54 has a pvalue of 0.0001

1 - 0.0001 = 0.9999

99.99% probability that the mean weight of a 50-box case of crackers is above 16 ounces

3 0
3 years ago
Hi again :') i got a new question
const2013 [10]
The answer to your question is 9 x 9 = 81.
6 0
3 years ago
Read 2 more answers
Work out <br><img src="https://tex.z-dn.net/?f=3%20%2B%202x%20%7B%3F%7D%5E%7B2%7D%20" id="TexFormula1" title="3 + 2x {?}^{2} " a
Sergeeva-Olga [200]

3 +  {2x}^{2}  \: where \: x = 4. \\  = 3 + 2 \times  {4}^{2}  \\   = 3 + 2 \times 16 \\  = 3 + 32 \\  = 35

<h3>hope it helps you :-)</h3>
7 0
3 years ago
How many stamps was Carolyn given,and how many stamps will she buy every month
jasenka [17]

Answer:

answer b.

Step-by-step explanation:


7 0
4 years ago
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