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Hatshy [7]
4 years ago
14

23 lb. 14 oz. − 8 lb. 1 oz. P.S NO WORK NEEDED.

Mathematics
2 answers:
Irina-Kira [14]4 years ago
8 0

Answer:

15.8125 lb

Step-by-step explanation:


Marizza181 [45]4 years ago
6 0

Answer:

15 lb. 13oz.

Step-by-step explanation:

no need

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5/10 and 1/6 are equivalent ratios
CaHeK987 [17]

Answer:

1 : 5 2 : 10 3 : 15 4 : 20 5 : 25

Step-by-step explanation:

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3 years ago
When does it stop being partly cloudy and start being partly sunny?
evablogger [386]

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50/50

Step-by-step explanation:

50/50

At what point does it stop being partly cloudy and start being partly sunny outside? 50/50, as you'd expect. Partly cloudy - In a forecast, this means that less than half of the day will be cloudy. For a current condition, this means that less than half of the sky is covered by clouds.

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Identify the domain and range of the relation.
GarryVolchara [31]

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domain:(-2,-5,1,5)

range:(11,10,4)

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3 years ago
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2%(random sentence bc I need 20 characters)
7 0
2 years ago
If the inspection division of a county weights and measures department wants to estimate the mean amount of soft-drink fill in 2
nikklg [1K]

Answer:

n=97

Step-by-step explanation:

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

Assuming the X follows a normal distribution

X \sim N(\mu, \sigma=0.01)

We know that the margin of error for a confidence interval is given by:

Me=z_{\alpha/2}\frac{\sigma}{\sqrt{n}}   (1)

The next step would be find the value of \z_{\alpha/2}, \alpha=1-0.95=.05 and \alpha/2=0.025

Using the normal standard table, excel or a calculator we see that:

z_{\alpha/2}=1.96

If we solve for n from formula (1) we got:

\sqrt{n}=\frac{z_{\alpha/2} \sigma}{Me}

n=(\frac{z_{\alpha/2} \sigma}{Me})^2

And we have everything to replace into the formula:

n=(\frac{1.96(0.05)}{0.01})^2 =96.04

And if we round up the answer we see that the value of n to ensure the margin of error required \pm=0.01 Liters is n=97.

5 0
4 years ago
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