In: Statistics and Probability
Q1: A cyclist collected the below data on RPMs during his ride:
58 56 50 60 55 50 52 53 59 53 55 57 57 63 48 55 47 47 52 54 53 55 46 55 56 50 55 50 57 54 68 50 62 64 53 50 64 59 61 55 53 41 57 53 50
w. Create a one-sided interval that will contain 99% of the RPMs, with 95% confidence.
x. Create a two-sided 90% interval on the RPM collected in the next test.
y. Create a 90% confidence interval on the standard deviation of the collected RPMs.
z. Create a two-sided interval that is 95% confident on containing the RPMs of all of the next five tests.
x)
Level of Significance , α =
0.1
degree of freedom= DF=n-1= 44
't value=' tα/2= 1.680 [Excel
formula =t.inv(α/2,df) ]
Standard Error , SE = s/√n = 5.277/√45=
0.7866
margin of error , E=t*SE = 1.6802
* 0.7866 = 1.3217
confidence interval is
Interval Lower Limit = x̅ - E = 54.49
- 1.321744 = 53.1671
Interval Upper Limit = x̅ + E = 54.49
- 1.321744 = 55.8106
90% confidence interval is (
53.17 < µ < 55.81
)
y)
Sample Size, n= 45
Sample Standard Deviation, s= 5.2770
Confidence Level, CL= 0.90
Degrees of Freedom, DF=n-1 = 44
alpha, α=1-CL= 0.1
alpha/2 , α/2= 0.05
Lower Chi-Square Value= χ²1-α/2 =
29.787
Upper Chi-Square Value= χ²α/2 =
60.481
confidence interval for std dev is
lower bound= √[(n-1)s²/χ²α/2] = √(44*5.277² /
60.4809)= 4.5009
upper bound= √[(n-1)s²/χ²1-α/2] = √(44*5.277² /
29.7875)= 6.4135