Answer:
No
Step-by-step explanation:
here we are interested to test the mean weight of a bag is less than 5 pound.
So null hypothesis is[tex] H_0:\mu =5 [/tex]
and alternative hypothesis is [tex] H_1:\mu <5 [/tex]
Let's do one sample z test.
The given information Sample size = n =100
sample mean[tex] \overline{X}=4.38 [/tex],
standard deviation [tex] \sigma =0.5 [/tex]
Test statistic:Z=[tex] \frac{\overline{X}-\mu }{\frac{\sigma }{\sqrt{n}}} [/tex]
Z=[tex] \frac{4.38-5}{\frac{0.5}{\sqrt{100}}}=-12.4 [/tex]
This is a left tailed test, hence the p value for the left tailed test and Z score= -12.4 is [tex] \approx [/tex] 0
Hence We can reject the null hypothesis to say that we have evidence that apple bag weight at the grocery store is less than 5 pounds and it is not a chance variation