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Finger [1]
3 years ago
13

Is there a solution to 8,-5

Mathematics
1 answer:
antiseptic1488 [7]3 years ago
3 0

Answer:

The solution is x = 8.

Step-by-step explanation:

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Find the perimeter of triangle ABC.<br><br><br> A. 10<br> B. 31<br> C. 47<br> D. 78
Alchen [17]

Answer: 10

Step-by-step explanation:you say they are equal (seems right )

7 0
3 years ago
traveling at 65 miles per hour, how many minutes rounded to the nearest whole number, does it take to drive 125 miles from San D
Anika [276]

65 miles per hour meaning 65 miles in 60 minutes

65/60 = 1.083mile per minute

125/ 1.083 = 115.4 minutes to drive from san diego to malibu

check

115.4 x 1.083 = 124.97 (round up)

= 125

therefore it takes 115.4 minutes to drive from San Diego to Malibu

3 0
4 years ago
375000000 divided by 1570000000
Zielflug [23.3K]

Answer: 0.238853503185

(I obviously used a calculator.)

If you rounded this answer, it would be 0.24. Hope this helps!

8 0
4 years ago
Read 2 more answers
11 + 22x = 9 + 30x<br> (Please provide the steps to complete the equation)
ahrayia [7]

Answer:

x = 4

PLS LOOK AT THE PIC I HAVE SENT YOU, HOPE THIS WILL HELP YOU!

5 0
3 years ago
Read 2 more answers
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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