The probability of winning on a lot machine is 5%. If a person plays the machine 500 times, find the probability of winning 30 times. Use the normal approximation to the binomial distribution.
A travel survey of 1500 Americans reported an average of 7.5 nights stayed when they went on vacation. Find a point estimate of the population mean. If we can assume the population standard deviation is 0.8 night, find the 95% confidence interval for the true mean.
1)
n= | 500 | p= | 0.0500 |
here mean of distribution=μ=np= | 25.00 | |
and standard deviation σ=sqrt(np(1-p))= | 4.87 | |
for normal distribution z score =(X-μ)/σx |
therefore from normal approximation of binomial distribution and continuity correction: |
probability of winning 30 times :
probability =P(29.5<X<30.5)=P((29.5-25)/4.873)<Z<(30.5-25)/4.873)=P(0.92<Z<1.13)=0.8708-0.8212=0.0496 |
2)
point estimate 'x̄= | 7.500 |
sample size n= | 1500.00 |
std deviation σ= | 0.800 |
std error ='σx=σ/√n= | 0.0207 |
for 95 % CI value of z= | 1.960 | |
margin of error E=z*std error = | 0.040 | |
lower bound=sample mean-E= | 7.460 | |
Upper bound=sample mean+E= | 7.540 |
from above 95% confidence interval for population mean =(7.46,7.54) |
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