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telo118 [61]
3 years ago
14

CAN SOMEONE HELP ME WITH THIS PLEASE AND THANK YOU.

Mathematics
2 answers:
tiny-mole [99]3 years ago
8 0

Answer:

six and one over twelve

Step-by-step explanation:

1/4 + 5 5/6=1/4+35/6 = 6 1/12

vodomira [7]3 years ago
6 0
  • step 1: <u>5</u><u>×</u><u>6</u><u>+</u><u>5</u>
  • 6
  • step 2: <u>3</u><u>0</u><u>+</u><u>5</u>
  • 6

step 3 <u>3</u><u>5</u>

6

<u>step </u><u>4</u><u> </u><u>answer</u><u> </u><u>=</u><u> </u><u>3</u><u>5</u>

6

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Listen just answer I neeed help, but I don’t
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look below

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I'll go in order from top to bottom

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4 0
3 years ago
Read 2 more answers
What is the solution set for | s+4 | = 6?
saveliy_v [14]

Answer:

s=2,−10

Step-by-step explanation:

Find all solutions for s by breaking the absolute value into the positive and negative components.

4 0
1 year ago
An article presents measures of penetration resistance for a certain fine-grained soil. Fifteen measurements, expressed as a mul
balu736 [363]

Answer:

2.64-2.14\frac{1.32}{\sqrt{15}}=1.911    

2.64+2.14\frac{1.32}{\sqrt{15}}=3.369    

So on this case the 95% confidence interval would be given by (1.911;3.37)  

Step-by-step explanation:

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=2.64 represent the sample mean for the sample  

\mu population mean (variable of interest)

s=1.32 represent the sample standard deviation

n=15 represent the sample size  

Solution to the problem

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

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

In order to calculate the critical value t_{\alpha/2} we need to find first the degrees of freedom, given by:

df=n-1=15-1=14

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: "=-T.INV(0.025,14)".And we see that t_{\alpha/2}=2.14

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

2.64-2.14\frac{1.32}{\sqrt{15}}=1.911    

2.64+2.14\frac{1.32}{\sqrt{15}}=3.369    

So on this case the 95% confidence interval would be given by (1.911;3.37)    

6 0
3 years ago
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