Answer:
a) 0.8413
b) 0.6293
Step-by-step explanation:
Data provided:
Mean tax paid = $2000
Standard deviation = $500
Sample size, n = 625
n=625
Now,
a) P( average tax paid on the sample forms is greater than $1980)
⇒ P(X > 1980)
or
⇒ [tex]P(\frac{(X-mean)}{\frac{s}{\sqrt n}})[/tex]
or
⇒ [tex]P(\frac{(1980-2000)}{\frac{500}{\sqrt{625}}})[/tex]
or
⇒ P(Z > -1)
or
= 0.8413 (From standard normal table)
b) P(more than 60 of the sampled forms have a tax of greater than $3000)
given: p = 10% = 0.1
Now, by using CLT
mean = n × p
= 625 × 0.1
= 62.5
Standard deviation, s =[tex]\sqrt{n\times p\times(1-p)}[/tex]
=[tex]\sqrt{625\times0.1\times(1-0.1)}[/tex]
= 7.5
Thus,
P(X > 60)
= [tex]P(\frac{(X-mean)}{s} > \frac{(60-62.5)}{7.5})[/tex]
or
= P(Z > -0.33)
= 0.6293 (From standard normal table)