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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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