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OleMash [197]
3 years ago
11

PLEASE HELP SOLVE!! WILL MARK THE BRAINIES

Mathematics
1 answer:
Vitek1552 [10]3 years ago
7 0

Answer:

Your answer is C.

Step-by-step explanation:

Mark as brainlest this time lol.

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What is the product of 3(-16)?
weeeeeb [17]

Answer: -48

Step-by-step explanation:

16 * 3 = 48

But because the 16 is negative, it becomes -48

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Mr.tom is making 8 of his famous cheese sandwiches.he uses 1/4 of a pound of chesse for each sandwich.
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A. Mr. Tom needs 2 pounds of cheese. 
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b. Mr. Tom will need to buy 3/4 of a pound of cheese.
                                     1/4 multiplied by 3
c. Mr. Tom is correct because to get 1/2 of a sandwich you need 1/2 as much of cheese as needed in 1 whole sandwich. You would multiply 1/2 by 1/4 which equals 1/8. 1/2 of a sandwich requires 1/8 of a pound of cheese.
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3 years ago
A certain test preparation course is designed to help students improve their scores on the LSAT exam. A mock exam is given at th
Valentin [98]

Answer:

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

s=\sqrt{\frac{\sum_{i=1}^n (x_i-\bar X)}{n-1}} (3)  

The mean calculated for this case is \bar X=12.8

The sample deviation calculated s=4.324 \approx 4.3

12.8-4.604\frac{4.324}{\sqrt{5}}=3.896    

12.8+ 4.604\frac{4.324}{\sqrt{5}}=21.704    

So on this case the 99% confidence interval would be given by (3.896;21.704)    

Step-by-step explanation:

Data: 10,9,20,13,12

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)

s represent the sample standard deviation

n 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 mean and the sample deviation we can use the following formulas:  

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

s=\sqrt{\frac{\sum_{i=1}^n (x_i-\bar X)}{n-1}} (3)  

The mean calculated for this case is \bar X=12.8

The sample deviation calculated s=4.324

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

df=n-1=5-1=4

Since the Confidence is 0.99 or 99%, the value of \alpha=0.01 and \alpha/2 =0.005, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.005,4)".And we see that t_{\alpha/2}=4.604

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

12.8-4.604\frac{4.324}{\sqrt{5}}=3.896    

12.8+ 4.604\frac{4.324}{\sqrt{5}}=21.704    

So on this case the 99% confidence interval would be given by (3.896;21.704)    

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3 years ago
Plzzzzzzzzzzzzzz answer
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Simplifying trigonometric expressions help?
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7.

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