The weights of the watermelons grown on a farm are normally distributed. The mean weight has been μ0=32.5 pounds. Because of the use of a new fertilizer, the farmer would like to know if the mean weight has changed. A random sample of n=9 watermelons is selected. The sample mean is x=33.8 pounds and the sample standard deviation is s=2.45 pounds. Test if the population mean has changed at a significance level a=0.05.

If we compare the p value and the significance level given we see that so we can conclude that we have enough evidence to FAIL reject the null hypothesis, so we can conclude that the true mean of weights for thr watermellons is not different from 32.5  5% of signficance.  

Step-by-step explanation:

Data given and notation  

represent the sample mean

represent the sample standard deviation

sample size  

represent the value that we want to test  

represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)  

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 different from 32.5, the system of hypothesis would be:  

Null hypothesis:  

Alternative hypothesis:  

Since we don't know the population deviation, is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

(1)  

Calculate the statistic  

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

P-value  

The degrees of freedom are given by

Since is a two-sided test the p value would be:  

Conclusion  

If we compare the p value and the significance level given we see that so we can conclude that we have enough evidence to FAIL reject the null hypothesis, so we can conclude that the true mean of weights for thr watermellons is not different from 32.5  5% of signficance.  

it’s supposed to be -4+45=41

step-by-step explanation: