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Margarita [4]
2 years ago
13

An experiment was conducted to record the jumping distances of paper frogs made from construction paper. Based on the sample, th

e corresponding 95% confidence interval for the mean jumping distance is (8.8104, 11.1248)cm. What is the corresponding 98% confidence interval for the mean jumping distance?
Mathematics
1 answer:
Natasha2012 [34]2 years ago
8 0

Answer:

9.9676 - 2.326*0.5904 =8.594

9.9676 + 2.326*0.5904 =11.341

Step-by-step explanation:

Notation

\bar X represent the sample mean

\mu population mean (variable of interest)

s represent the sample standard deviation

n represent the sample size  

Solution to the problem

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

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

For this case the 9% confidence interval is given by:

8.8104 \leq \mu \leq 11.1248

We can calculate the mean with the following:

\bar X = \frac{8.8104 +11.1248}{2}= 9.9676

And we can find the margin of error with:

ME= \frac{11.1248- 8.8104}{2}= 1.1572

The margin of error for this case is given by:

ME = t_{\alpha/2}\frac{s}{\sqrt{n}} = t_{\alpha/2} SE

And we can solve for the standard error:

SE = \frac{ME}{t_{\alpha/2}}

The critical value for 95% confidence using the normal standard distribution is approximately 1.96 and replacing we got:

SE = \frac{1.1572}{1.96}= 0.5904

Now for the 98% confidence interval the significance is \alpha=1-0.98= 0.02 and \alpha/2 = 0.01 the critical value would be 2.326 and then the confidence interval would be:

9.9676 - 2.326*0.5904 =8.594

9.9676 + 2.326*0.5904 =11.341

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First, you must set up the equation.

5x+6(0.95)=11.95

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2 years ago
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The mean hourly wage for employees in goods-producing industries is currently $24.57 (Bureau of Labor Statistics website, April,
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Answer:

a. H_{0}: μ = $24.57

H_{a}: μ ≠ $24.57

b. 0.12

c. we fail to reject the null hypothesis since p ≈0.12 > 0.05

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Step-by-step explanation:

a)

H_{0}: μ = $24.57

H_{a}: μ ≠ $24.57

b)

To compute p value, we need to calculate z-score of $23.89 per hour. in the distribution assumed under null hypothesis

z-score can be calculated as follows:

\frac{X-M}{\frac{s}{\sqrt{N} } } where

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Putting the numbers in the formula we get

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The corresponding p-value is <em>two tailed </em>and  ≈ 0.12

c)

since p ≈0.12 > 0.05 <em>we fail to reject the null hypothesis.</em>

d)

Critical value for the 0.05 significance level in two tailed test is :

c(z)=-1.96 Since z≈ −1,6 >-1.96, it is not in the critcal region, therefore <em>we fail to reject the null hypothesis. </em>

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Answer:

-i

Step-by-step explanation:

Our number is i = √-1, and we want to find i³, which is essentially just i * i * i, so:

i³ = i * i * i = √-1 * √-1 * √-1 = -1 * √-1 = -1 * i = -i

The answer is -i.

5 0
2 years ago
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