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Rama09 [41]
2 years ago
12

A set of data with a mean of 45 and a standard deviation of 8.3 is normally distributed. find the value that is +3 standard devi

ations away from the mean. 48.0 78.9 20.1 69.9
Mathematics
2 answers:
lidiya [134]2 years ago
3 0
69.9 is exactly 3 standard deviations away, which means that 78.9 is +3 (more than 3) standard deviations

So the answer is 78.9
Simora [160]2 years ago
3 0

Answer:

D. 69.9

Step-by-step explanation:

We have been given that a set of data with a mean of 45 and a standard deviation of 8.3 is normally distributed. We are asked to find the value that is +3 standard deviations away from the mean.

To find the value that is 3 standard deviation away from mean, we will multiply 3 by standard deviation and ad the result to mean.

45+(3\times 8.3)

45+24.9

69.9

Therefore, 69.9 is 3 standard deviation away from mean of or given data set and option D is the correct choice.

You might be interested in
George still has 40 percent of his book to read. If George has read 180 pages, how many pages does he still have to read? How do
beks73 [17]

Answer:  72

Step-by-step explanation:    so you do a line = line method the lines should look like they are fractions.  

you do it for the both numbers the percent is always out of 100.

it should look like this

40%            ?

--------- = -----------    

100%       180

then you cross multiply 40 and 180 and than divide it by 100.   your answer should be 72.    you later replace the ? with 72

you know this because It is smaller than 180 and its bigger than the number 40.

5 0
2 years ago
Statistics show that the sales force of Golden Wholesalers successfully closed 1,711 sales out of 1,950 sales calls. What was th
Arisa [49]
1711 sales out of 1950 calls. The success rate is quite impressive: 1711/1950=87.7%
8 0
2 years ago
A sample of 1714 cultures from individuals in Florida diagnosed with a strep infection was tested for resistance to the antibiot
Damm [24]

Answer:

a) p represent the real population proportion of people who showed partial or complete resistance to the antibiotic

b) \hat p=\frac{973}{1714}=0.568 represent the estimated proportion of people who showed partial or complete resistance to the antibiotic

c) We are confident (95%) that the true proportion of individuals in Florida diagnosed with a strep infection was tested for resistance to the antibiotic penicillin present partial or complete resistance to the antibiotic is between 54.5% to 59.1%.  

Step-by-step explanation:

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".

Part a

Description in words of the parameter p

p represent the real population proportion of people who showed partial or complete resistance to the antibiotic

\hat p represent the estimated proportion of people who showed partial or complete resistance to the antibiotic

n=1714 is the sample size required

z_{\alpha/2} represent the critical value for the margin of error

The population proportion have the following distribution  

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})

Part b

Numerical estimate for p

In order to estimate a proportion we use this formula:

\hat p =\frac{X}{n} where X represent the number of people with a characteristic and n the total sample size selected.

\hat p=\frac{973}{1714}=0.568 represent the estimated proportion of people who showed partial or complete resistance to the antibiotic

Part c

The confidence interval for a proportion is given by this formula

\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}

For the 95% confidence interval the value of \alpha=1-0.95=0.05 and \alpha/2=0.025, with that value we can find the quantile required for the interval in the normal standard distribution.

z_{\alpha/2}=1.96

And replacing into the confidence interval formula we got:

0.568 - 1.96 \sqrt{\frac{0.568(1-0.568)}{1714}}=0.545

0.568 + 1.96 \sqrt{\frac{0.56(1-0.56)}{1714}}=0.591

And the 95% confidence interval would be given (0.545;0.591).

We are confident that about 54.5% to 59.1% of individuals in Florida diagnosed with a strep infection was tested for resistance to the antibiotic penicillin present partial or complete resistance to the antibiotic.  

5 0
2 years ago
16. A train travels at an average speed of 85 miles per hour. If a trip
STALIN [3.7K]

Answer:

340 miles

Step-by-step explanation:

From definition of speed, it's distance traveled per unit time

Speed=Distance/time

Making distance the subject

Distance=Speed* time

Substituting speed of 85 miles per hour and time of 4 hours

Distance=85*4=340 miles

Therefore, if the train maintains the same speed, the distance between Sue's house and Kentucky is approximately 340 miles

5 0
2 years ago
Patty has a flower box in the shape of a rectangular prism with interior dimensions that are 15 inches in length , 8 inches in w
qaws [65]

Answer:

240 cubic inches

Step-by-step explanation:

Okay first you multiply length by width by height to get the volume which is:

15*8*6= 720

Braking it down:

15*8= 120

120*6= 720

So then you divide 720 by 3 because the 720 is the total value of the box but we just want to know what the volume of how much dirt is there:

720/3= 240 (Check on a calculator if you want to ;D)

So your answer is 240 cubic inches of soil in the flower box

<em>Hope this helps :D </em>

4 0
2 years ago
Read 2 more answers
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