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tigry1 [53]
3 years ago
6

Medicine taken by a patient breaks down and eventually leaves the patient’s system. Suppose a dose of 60 milligrams (mg) of medi

cine is given and it breaks down such that 20% of the medicine becomes ineffective every hour. How much of the 60 mg dose is still active after 3 hours, after 4.25 hours, after hours?
Mathematics
1 answer:
jeyben [28]3 years ago
3 0

Answer:

60*0.8 raised to the t power where t is time

Step-by-step explanation:

60*0.8³=30.72

60*0.8∧4.25=23.24254578

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Solve the proportion. 9/11 = 63/z. Please use "z =" to record your answer. *
klio [65]

Answer:

My Answer: <u>Z = 77</u>

Step-by-step explanation:

\frac{9}{11} = \frac{63}{z}

9xZ = 11x63

9z = 693

\frac{9z}{9} = \frac{693}{9}

z = 77

6 0
3 years ago
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2 2/3m + 4+ - 1 1/3y - 8
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The table represents an exponential function.
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4/3 = 12exponential function
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3 years ago
A cylindrical tank is filled with 66.85 mm3 of fuel. The area of the base of the cylinder is 15 mm2. What is the height of the f
Rashid [163]
Volume = (Area of the base)x(Height)
66.85 = 15(H)
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3 0
4 years ago
Suppose the weights of tight ends in a football league are normally distributed such that σ2=400. A sample of 11 tight ends was
AlladinOne [14]

Answer:

217.636-1.96\frac{20}{\sqrt{11}}=205.817    

217.636+1.96\frac{20}{\sqrt{11}}=229.455    

So on this case the 95% confidence interval would be given by (205.82;229.46)    

Step-by-step explanation:

Assuming the following data: Weight 150 169 170 196 200 218 219 262 269 270 271

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

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".

\bar X represent the sample mean for the sample  

\mu population mean (variable of interest)

\sigma= \sqrt{400}= 20 represent the population standard deviation

n=11 represent the sample size  

Solution to the problem

The confidence interval for the mean is given by the following formula:

\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}   (1)

In order to calculate the mean we can use the following formula:  

\bar X= \sum_{i=1}^n \frac{x_i}{n} (2)  

The mean calculated for this case is \bar X=217.636

Since the Confidence is 0.95 or 95%, the value of \alpha=0.05 and \alpha/2 =0.025, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=NORM.INV(0.025,0,1)".And we see that z_{\alpha/2}=1.96

Now we have everything in order to replace into formula (1):

217.636-1.96\frac{20}{\sqrt{11}}=205.817    

217.636+1.96\frac{20}{\sqrt{11}}=229.455    

So on this case the 95% confidence interval would be given by (205.82;229.46)    

8 0
4 years ago
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