In: Statistics and Probability
Z-test and Confidence Intervals
1a) Allister Ride Company estimate that the average daily loss from those illegally riding without tickets is at least (>=) $200, but wants to determine the accuracy of this statistic. The company researcher takes a random sample of losses over 64 days and finds that = $198 and s = $15.
a) Test at α = 0.01.
b) Construct a 99% confidence interval
b) Kids Home Care claims that they use more than 110 diapers daily. The manager takes a random sample of used diapers use 61 days (2 months) and finds that the sample mean is 108 diapers with a standard deviation of 17.
a) Test at α = 0.06
b) Construct a 90% confidence interval
2) A college wants to know the lower limit of a two-sided 95% confidence interval for SAT scores on the Math section (range equals 200 to 800).
They sampled 400 students and found that the sample mean was 560 and the sample standard deviation was 35.
here sample standard deviation is given instead of population standard deviation, so we should use t-value (instead of z-value) for answering the question. if you want using z-value please respond back at earliest for correction.
(1a) here we want to test the null hypothesis H0: <=200 and alternate hypothesis Ha:>=200 ( this left-one tailed test)
statistic t=(-)/(s/sqrt(n))=(198-200)/(15/sqrt(64))=-1.07 is more than critical t(0.01,63)=-2.39 so we fail to reject H0 and conclude that loss is not atleast 200.
n= | 64 |
sample mean= | 198.000 |
s= | 15.000 |
the two sided
(1-alpha)*100% confidence interval for population mean=sample mean±t(alpha/2,n-1)*s/sqrt(n)
99% confidence interval for population mean=mean±t(0.05/2, n-1)*s/sqrt(n)=198±2.656*15/sqrt(64)=198±4.980=(193.02,202.98)
two-sided | t-value | margin of error | lower limit | upper limit |
99% confidence interval | 2.656 | 4.980 | 193.020 | 202.980 |
(second part)
here we want to test the null hypothesis H0: <=110 and alternate hypothesis Ha:>110
statistic t=(-)/(s/sqrt(n))=(108-110)/(17/sqrt(61))=-0.92 is more than critical t(0.01,63)=-1.58, so we fail to reject H0 and conclude Kids Home Care claims that they use more than 110 diapers daily is not true.
two-sided | t-value | margin of error | lower limit | upper limit |
94% confidence interval | 1.917 | 4.173 | 103.827 | 112.173 |
(third part) lower limit=556.56
n= | 400 |
sample mean= | 560.000 |
s= | 35.000 |
t-value | margin of error | lower limit | upper limit | |
95% confidence interval | 1.966 | 3.440 | 556.560 | 563.440 |