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ArbitrLikvidat [17]
3 years ago
15

Answer answer it it .

Mathematics
1 answer:
charle [14.2K]3 years ago
3 0

Answer:

d 3

Step-by-step explanation:

d3

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M=1.33333(N+20). If N=16,find M<br><br>​
aalyn [17]

Answer:

M=47.99988

Step-by-step explanation:

M=1.33333(16+20)

=1.33333(36)

=47.99988

8 0
3 years ago
What is the value of x in 2(5x) = 14? A. 0.34 B. 1.15 C. 1.21 D. 219.33
viva [34]

Answer:

C. 1.21 I think

Step-by-step explanation:

8 0
3 years ago
Write the equation of the line in slope intercept form that has the given slope and the y-intercept
iren2701 [21]

Answer:

4+4=8 quickmaf

Step-by-step explanation:

Ggg4 fg5*6

5 0
3 years ago
A radio station had 60 tickets to a concert. They gave away 2 times as many tickets to listeners as to employees. How many ticke
Nataly_w [17]

Answer:

they gave 20 to the employee trust me

5 0
3 years ago
A magazine provided results from a poll of 500 adults who were asked to identify their favorite pie. Among the 500 ​respondents,
RoseWind [281]

Answer:

The statement that​ "the margin of error was given as \pm5 percentage​ points" means that the population proportion is estimated to be with a certain level of confidence, within the interval \hat{p} \pm 0.05 ; where \hat{p}[tex] is the sample's proportion. The correct answer is C. The statement indicates that the interval [tex]0.14\pm0.05 is likely to contain the true population percentage of people that prefer chocolate pie.

Step-by-step explanation:

The margin of error for proportions is given by the following formula:

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

Where:

z_{\alpha /2} is the critical value that corresponds to the confidence level; the confidence level being 1-\alpha,

\hat{p} is the sample's proportion of successes,

n is the size of the sample.

In this exercise we have that \hat{p}=0.14 and that the margin of error is 0.05.

Therefore if we replace in the formula to calculate the confidence interval we get:

\hat{p}\pm 0.05=0.14\pm0.05=(0.09, 0.19)

Which means that the true population proportion is estimated to be, with a certain confidence level, within the interval (0.09, 0.19).

7 0
3 years ago
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