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Marat540 [252]
3 years ago
13

The management of ABC Industries is considering a new method of assembling its golf cart. The present method requires 42.3 minut

es, on the average, to assemble a cart. The mean assembly time for a random sample of 24 carts, using the new method, was 40.6 minutes, and the standard deviation of the sample was 2.7 minutes. Using a 0.1 level of significance, can we conclude that the assembly time using the new method is faster? Use only the P-Value approach. State H0 and Ha (20 pts)
Mathematics
1 answer:
miv72 [106K]3 years ago
6 0

Answer:

Null hypothesis:\mu \geq 42.3  

Alternative hypothesis:\mu < 42.3  

t=\frac{40.6-42.3}{\frac{2.7}{\sqrt{24}}}=-3.085    

The degrees of freedom are given by:

df=n-1=24-1=23  

Then the p value can be calculated with this probability:

p_v =P(t_{(23)}  

If we compare the p value and the significance lvel of 0.1 we see that the p value is lower than the signficance level we can reject the null hypothesis and we can conclude that the the assembly time using the new method is faster

Step-by-step explanation:

Information given

\bar X=40.6 represent the sample mean for the new method

s=2.7 represent the sample standard deviation

n=24 sample size  

\mu_o =42.3 represent the value that we want to test

\alpha=0.1 represent the significance level

t would represent the statistic

p_v represent the p value

System of hypothesis

We want to verify if  the assembly time using the new method is faster, the system of hypothesis would be:  

Null hypothesis:\mu \geq 42.3  

Alternative hypothesis:\mu < 42.3  

The statistic for this case is given:

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

The statistic would be given by:

t=\frac{40.6-42.3}{\frac{2.7}{\sqrt{24}}}=-3.085    

The degrees of freedom are given by:

df=n-1=24-1=23  

Then the p value can be calculated with this probability:

p_v =P(t_{(23)}  

If we compare the p value and the significance lvel of 0.1 we see that the p value is lower than the signficance level we can reject the null hypothesis and we can conclude that the the assembly time using the new method is faster

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In this question we must analyze the domain, range, x-intercepts and <em>increase</em> intervals:

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g(x) : According to the graph, g(x) increase over the interval of \mathbb{R}

After a quick analysis, we conclude that option A offer the best approximation to characteristics of both functions. \blacksquare

<h3>Remark</h3>

The statement presents mistakes and is poorly formatted. Correct form is:

<em>Given a polynomial function </em>f(x) = 2\cdot x^{2}-3\cdot x + 5<em> and an exponential function </em>g(x) = 2^{x}-5<em>. What key features do </em>f(x)<em> and </em>g(x)<em> have in common? </em>

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<em>A.</em><em> Both </em>f(x)<em> and </em>g(x)<em> have the same domain of </em>(9, +\infty)<em>.</em>

<em>B.</em><em> Both </em>f(x)<em> and </em>g(x)<em> have the same range of </em>(-\infty, 0]<em>.</em>

<em>C.</em><em> Both </em>f(x)<em> and </em>g(x)<em> have the same x-intercept of </em>(2,0)<em>.</em>

<em>D.</em><em> Both </em>f(x)<em> and </em>g(x)<em> increase over the interval of </em>(-4, +\infty)<em>.</em>

<em />

To learn more on functions, we kindly invite to check this verified question: brainly.com/question/5245372

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