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Evgen [1.6K]
3 years ago
12

-5.5 make it into fraction or mixed number in simplest form​

Mathematics
1 answer:
Eddi Din [679]3 years ago
3 0

Answer:

-5 1/2

Step-by-step explanation:

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Step-by-step explanation:

7 0
3 years ago
Small Sample:
agasfer [191]

Answer:

The 80% confidence interval for the proportion of companies that are planning to increase their workforce is (0.033, 0.331).

A sample size of 8852 is needed.

Step-by-step explanation:

First question:

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}.

Only 2 of the 11 companies were planning to increase their workforce.

This means that n = 11, \pi = \frac{2}{11} = 0.1818

80% confidence level

So \alpha = 0.2, z is the value of Z that has a pvalue of 1 - \frac{0.2}{2} = 0.9, so Z = 1.28.

The lower limit of this interval is:

\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.1818 - 1.28\sqrt{\frac{0.1818*0.8182}{11}} = 0.033

The upper limit of this interval is:

\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.1818 + 1.28\sqrt{\frac{0.1818*0.8182}{11}} = 0.331

The 80% confidence interval for the proportion of companies that are planning to increase their workforce is (0.033, 0.331).

Second question:

The margin of error is:

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

A poll taken in July 2010 estimates this proportion to be 0.36.

This means that \pi = 0.36

95% confidence level

So \alpha = 0.05, z is the value of Z that has a pvalue of 1 - \frac{0.05}{2} = 0.975, so Z = 1.96.

Using this estimate, what sample size is needed so that the confidence interval will have a margin of error of 0.01?

This is n for which M = 0.01. So

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

0.01 = 1.96\sqrt{\frac{0.36*0.64}{n}}

0.01\sqrt{n} = 1.96\sqrt{0.36*0.64}

\sqrt{n} = \frac{1.96\sqrt{0.36*0.64}}{0.01}

(\sqrt{n})^2 = (\frac{1.96\sqrt{0.36*0.64}}{0.01})^2

n = 8851.04

Rounding up(as a sample of 8851 will have a margin of error slightly over 0.01):

A sample size of 8852 is needed.

4 0
2 years ago
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