Using the data below, determine if there is evidence to conclude that the variance of weekly prices during 2009 is less than 10% at 5% significance level.
Date Gasoline Price
Jan 03, 2000$1.26
Jan 10, 2000$1.25
Jan 17, 2000$1.27
Jan 24, 2000$1.31
Jan 31, 2000$1.31
Feb 07, 2000$1.32
Feb 14, 2000$1.35
Feb 21, 2000$1.40
Feb 28, 2000$1.41
Mar 06, 2000$1.49
Mar 13, 2000$1.51
Mar 20, 2000$1.51
Mar 27, 2000$1.48
Apr 03, 2000$1.48
Apr 10, 2000$1.45
Apr 17, 2000$1.42
Apr 24, 2000$1.41
May 01, 2000$1.39
May 08, 2000$1.43
May 15, 2000$1.47
May 22, 2000$1.49
May 29, 2000$1.51
Jun 05, 2000$1.54
Jun 12, 2000$1.61
Jun 19, 2000$1.66
(The data is much longer that this, so if you could just show me the formulas on excel so I can do it on my own, I would appreciate that much more.)
Thanks
using excel we have
Chi-Square Test of Variance | |||
Formula used | |||
Data | |||
Null Hypothesis s^2= | 0.1 | ||
Level of Significance | 0.05 | ||
Sample Size | 25 | COUNT(A2:A26) | |
Sample Standard Deviation | 0.105748 | STDEV.S(A2:A26) | |
Intermediate Calculations | |||
Degrees of Freedom | 24 | C6-1 | |
Half Area | 0.025 | C5/2 | |
Chi-Square Statistic | 2.6838 | C10*C7^2/C4 | |
Lower-Tail Test | |||
Lower Critical Value | 13.8484 | CHISQ.INV.RT(1-C5, C10) | |
p-Value | 0.0000 | 1-CHISQ.DIST.RT(C12, C10) | |
Reject the null hypothesis |
since p value is 0.0000 which is less than 0.05 so we conclude that the variance of weekly prices during 2000 is less than 10%
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