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jekas [21]
3 years ago
9

Trechelle is buying a sports coat that has a regular price of $90. This coat is on sale with a 20% discount. She knows she needs

to pay 8\%8% sales tax on the discounted price. Trechelle thinks to herself 20\%-8\%=12\%20%−8%=12%. She now believes this means she is really only getting a 12% discount, and 12% of $90 is $10.80. She works out the sports coat will cost her $79.20$. Is Trechelle’s reasoning correct or will the sports coat actually cost a different amount?
Mathematics
2 answers:
Andrews [41]3 years ago
7 0

Answer:

follow me on ig fendimulatto ill follow back

Step-by-step explanation:

cluponka [151]3 years ago
4 0

Answer:

Trechelle's reasoning is incorrect.

Step-by-step explanation:

the cost is $88.2. hope it helps bye.

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Answer:

t=\frac{7.2-8}{\frac{2.1}{\sqrt{41}}}=-2.439    

p_v =P(t_{(40)}  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, and the true mean is lower than 8 ppb at 1% of signficance. We need to be careful with this interpretation since the p value is near to the significance level.  

Step-by-step explanation:

Data given and notation  

\bar X=7.2 represent the mean height for the sample  

s=2.1/tex] represent the sample standard deviation [tex]n=41 sample size  

\mu_o =8 represent the value that we want to test

\alpha=0.01 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the true mean is less than 8, the system of hypothesis would be:  

Null hypothesis:\mu \geq 8  

Alternative hypothesis:\mu < 8  

If we analyze the size for the sample is > 30 but we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

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

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic

We can replace in formula (1) the info given like this:  

t=\frac{7.2-8}{\frac{2.1}{\sqrt{41}}}=-2.439    

P-value

The first step is calculate the degrees of freedom, on this case:  

df=n-1=41-1=40  

Since is a one side test the p value would be:  

p_v =P(t_{(40)}  

Conclusion  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, and the true mean is lower than 8 ppb at 1% of signficance. We need to be careful with this interpretation since the p value is near to the significance level.  

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