Answer: 0.0170
Step-by-step explanation:
Given : The mean amount purchased by a typical customer at Churchill’s Grocery Store is $23.50, with a standard deviation of $5.00.
i.e. [tex]\mu=23.50[/tex]
[tex]\sigma=5[/tex]
We assume the distribution of amounts purchased follows the normal distribution.
Sample size : n=50
Let [tex]\overline{x}[/tex] be the sample mean.
Formula : [tex]z=\dfrac{\overline{x}-\mu}{\dfrac{\sigma}{\sqrt{n}}}[/tex]
Then, the probability that the sample mean is at least $25.00 will be :-
[tex]P(\overline{x}\geq\25.00)=P(\dfrac{\overline{x}-\mu}{\dfrac{\sigma}{\sqrt{n}}}\geq\dfrac{25-23.50}{\dfrac{5}{\sqrt{50}}})\\\\=P(z\geq2.12)\\\\=1-P(z<2.12)\\\\=1-0.9830=0.0170[/tex]
Hence, the likelihood the sample mean is at least $25.00= 0.0170