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2 years ago

Need answer ASAP! Please see screen shot.

Mathematics

1 answer:

vivado [14]2 years ago

6 0

Answer:

0.4 or $\frac{2}{5}$

Step-by-step explanation:

James spun the arrow 30 times which means 30 is the total. In other words, it's your denominator ( $\frac{x}{30}$ ). It landed on the blue section 12 times which means 12 is the part of the whole. In other words, it's your numerator ( $\frac{12}{y}$ ). Plug in the entire fraction and you get $\frac{12}{30}$ . Divide 12 by 30 and you get 0.4 or if you divide both the numerator & denominator by 6, you get $\frac{2}{5}$ . Either one works, depending on what your question asks for.

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3 years ago

In a survey, the planning value for the population proportion is p* = 0.35. How large a sample should be taken to provide a 95%

lions [1.4K]

Answer:

$n=\frac{0.35(1-0.35)}{(\frac{0.05}{1.96})^2}=349.59$

And rounded up we have that n=350

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".

$p$ represent the real population proportion of interest

$\aht p$ represent the estimated proportion for the sample

n is the sample size required (variable of interest)

$z$ represent the critical value for the margin of error

Solution to the problem

The population proportion have the following distribution

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

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by $\alpha=1-0.95=0.05$ and $\alpha/2 =0.025$ . And the critical value would be given by: