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Evgesh-ka [11]
3 years ago
7

Dog Bites to Postal Workers For a certain urban area, in a random sample of 5 months, an average of 28 mail carriers were bitten

by dogs each month. The standard deviation of the sample was 3. Find the 90% confidence interval of the true mean number of mail carriers who are bitten by dogs each month. Assume the variable is normally distributed.
Mathematics
1 answer:
kiruha [24]3 years ago
3 0

Answer: 90% confidence interval is (25.8,30.2).

Step-by-step explanation:

Since we have given that

n = 5

Mean = 28

Standard deviation = 3

It is a 90% confidence interval , so, z = 1.64

We need to find the interval.

so, it would be

x\pm z(\dfrac{\sigma}{\sqrt{n}})\\\\=28\pm 1.64\times (\dfrac{3}{\sqrt{5}})\\\\=28\pm 2.2\\\\=(28+2.2,28-2.2)\\\\=(25.8,30.2)

Hence, 90% confidence interval is (25.8,30.2).

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Nataliya [291]
D is you answer Have a wonderful day ! 
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3 years ago
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eduard

Answer:

x = -7

Step-by-step explanation:

Use the distibutive property on both side:

Right side:

4 ( 1 - x )

( 4 x 1 ) + 4 x -X )

4 - 4x

Left side:

-3 ( x + 1 )

( -3 x X ) + ( -3 x 1 )

-3x -3

4 - 4x + 2x = -3x - 3

Combine like terms:

( 2x + ( -4x ) ) + 4 = -3x - 3

-2x + 4 = -3x - 3

Add 3 to each side:

-2x + 7 = -3x

add 2x to each side:

7 = -x

Divide each side by -1:

-7 = x

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3 years ago
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Lapatulllka [165]

Answer:

sure

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
In 16% of all homes with a stay-at-home parent, the father is the stay-at-home parent (Pew Research, June 5, 2014). An independe
enot [183]

Answer:

a)

n = (\frac{z\sqrt{0.16*0.84}}{0.03})^2, in which z is related to the confidence level.

b) A sample size of 991 is needed.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

z is the zscore that has a pvalue of 1 - \frac{\alpha}{2}.

The margin of error is:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

In 16% of all homes with a stay-at-home parent, the father is the stay-at-home parent

This means that \pi = 0.16

a. What sample size is needed if the research firm's goal is to estimate the current proportion of homes with a stay-at-home parent in which the father is the stay-at-home parent with a margin of error of 0.03 (round up to the next whole number).

This is n for which M = 0.03. So

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.03 = z\sqrt{\frac{0.16*0.84}{n}}

0.03\sqrt{n} = z\sqrt{0.16*0.84}

\sqrt{n} = \frac{z\sqrt{0.16*0.84}}{0.03}

(\sqrt{n})^2 = (\frac{z\sqrt{0.16*0.84}}{0.03})^2

n = (\frac{z\sqrt{0.16*0.84}}{0.03})^2, in which z is related to the confidence level.

Question b:

99% confidence level,

So \alpha = 0.01, z is the value of Z that has a pvalue of 1 - \frac{0.01}{2} = 0.995, so Z = 2.575.

n = (\frac{z\sqrt{0.16*0.84}}{0.03})^2

n = (\frac{2.575\sqrt{0.16*0.84}}{0.03})^2

n = 990.2

Rounding up

A sample size of 991 is needed.

8 0
3 years ago
Just numbers 42,44, and 48 pls!!
maxonik [38]

42: 4q+6p-12q

     -8q+6p

44: 3m-6n+6n-12m

     -9m

48:-7y-14t-3y+3t

    -10y-11t

your welome!


     



3 0
3 years ago
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