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german
3 years ago
10

Please help please It due asap

Mathematics
2 answers:
PSYCHO15rus [73]3 years ago
6 0

Answer:

D) About 40 miles

Step-by-step explanation:

Using the Pythagorean theorem, you caculate c=√ a^2 + b^2

Oceanfront to Landview is 5(5) units = 25

Landview to Seaside is 6(5) units = 30

25^2 = 625

30^2 = 900

√625 + 900 = 39.0512....

Basically it’s 40 miles

egoroff_w [7]3 years ago
5 0

Answer:

The answer is D, about 40 miles.

Step-by-step explanation:

Use the pythagorean theorem.

Distance between Seaside & Landview: 6

Distance between Landview & Oceanfront: 5

6^2 times 5^2 = \sqrt{61}

\sqrt{61} times 5 = 39.05124838

39.05124838 ≈ 40

Sorry I took so long. I hope this helps!

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1. A magazine reported 66% of all dog owners usually greet their dog before greeting their
NISA [10]

Answer:

(a) There is 95% confidence that the true proportion of dog owners who greet their dogs first is between 0.475 and 0.775.

(b) The point estimate is 0.625. The margin of error is 0.15.

(c) It is plausible that the true proportion of all owners who greet their dog first is 66%.

Step-by-step explanation:

The (1 - α)% confidence interval for population parameter implies that there is a (1 - α) probability that the true value of the parameter is included in the interval. Or, the (1 - α)% confidence interval for the parameter implies that there is (1 - α)% confidence or certainty that the true parameter value is contained in the interval.

In statistic, point estimation comprises of the use of sample data to estimate a distinct data value (known as a point estimate) which is to function as a "best guess" or "best estimate" of an unidentified population parameter. The point estimate of the population mean (µ) is the sample mean (\bar x).

The  (1 - α)% confidence interval for population proportion is:

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

The margin of error for this interval is:

MOE=\frac{UL-LL}{2}

For the hypothesis test, if the confidence interval consist of the null value of the parameter then the null hypothesis is accepted or else rejected.

The 95% confidence interval for the population proportion of owners who greet their dog first is,

CI = (0.475, 0.775)

(a)

The 95% confidence interval for the population proportion, (0.475, 0.775), implies that there is a 0.95 probability that the true proportion of dog owners who greet their dogs first is between 0.475 and 0.775.

Or, there is 95% confidence that the true proportion of dog owners who greet their dogs first is between 0.475 and 0.775.

(b)

The point estimate of the population proportion (<em>p</em>) is the sample mean (\hat p).

Compute the point estimate from the 95% confidence interval as follows:

Point estimate = (UL + LL)/2

                        =\frac{0.775+0.475}{2}\\=0.625

The point estimate is 0.625.

Compute the margin of error as follows:

MOE=\frac{UL-LL}{2}=\frac{0.775-0.475}{2}=0.15

The margin of error is 0.15.

(c)

The hypothesis to test whether the proportion of all owners who greet their dog first is 66% is:

<em>H₀</em>: The proportion of all owners who greet their dog first is 66%, i.e. <em>p</em> = 0.66

<em>Hₐ</em>: The proportion of all owners who greet their dog first is not 66%, i.e. <em>p</em> ≠ 0.66.

The 95% confidence interval for the population proportion of owners who greet their dog first is,

CI = (0.475, 0.775)

The 95% confidence interval consists of the null value, i.e. <em>p</em> = 0.66.

The null hypothesis was failed to rejected.

Thus, it is plausible that the true proportion of all owners who greet their dog first is 66%.

6 0
3 years ago
What is the formula for a confidence interval?
ikadub [295]

Answer:

a) The formula is given by mean \pm the margin of error. Where the margin of error is the product between the critical value from the normal standard distribution at the confidence level selected and the standard deviation for the sample mean.

b) \bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}

Step-by-step explanation:

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".  

If the distribution for X is normal or if the sample size is large enough we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

Part a

The formula is given by mean \pm the margin of error. Where the margin of error is the product between the critical value from the normal standard distribution at the confidence level selected and the standard deviation for the sample mean.

Part b

The confidence interval for the mean is given by the following formula:  

\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}

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Answer:

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Step-by-step explanation:

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