In: Statistics and Probability
following data
safety injury severity | Fatal | non-fatal | no injuries | total |
yes | 669 | 155,071 | 467,362 | 623,102 |
no | 487 | 4294 | 3824 | 8605 |
total | 1,156 | 159,365 | 471,186 | 631,707 |
using this data, we wish to determine if there is any association between using safety restraints and injury severity. as such we will use a chi-square test for independence
Q10: state the null and alternative hypotheses
Q11:fill in the table below with the expected counts assuming the null hypothesis is true
safety restraint/injury severity | fatal | non-fatal | no injuries |
yes | |||
no |
Q12: perform the chi-square test for independence at the .05 significance level.
we have given
safety injury severity | Fatal | non-fatal | no injuries | total |
yes | 669 | 155,071 | 467,362 | 623,102 |
no | 487 | 4294 | 3824 | 8605 |
total | 1,156 | 159,365 | 471,186 | 631,707 |
Ans 10_)the null and alternative hypotheses is
Statistics and Probability
following data
safety injury severity | Fatal | non-fatal | no injuries | total |
yes | 669 | 155,071 | 467,362 | 623,102 |
no | 487 | 4294 | 3824 | 8605 |
total | 1,156 | 159,365 | 471,186 | 631,707 |
Ans : the null and alternative hypotheses is
Ho: there is no association between using safety restraints and injury severity.
Ha: there is association between using safety restraints and injury severity.
using excel>addin>phstat>multiple sample test >chi square
we have
Chi-Square Test | ||||||||
Observed Frequencies | ||||||||
Column variable | Calculations | |||||||
saftey injury | fatel | non fatel | no injuries | Total | fo-fe | |||
yes | 669 | 155071 | 467362 | 623102 | -471.253 | -2123.16 | 2594.412 | |
no | 487 | 4294 | 3824 | 8605 | 471.2532 | 2123.158 | -2594.41 | |
Total | 1156 | 159365 | 471186 | 631707 | ||||
Expected Frequencies | ||||||||
Column variable | ||||||||
saftey injury | fatel | non fatel | no injuries | Total | (fo-fe)^2/fe | |||
yes | 1140.253 | 157194.2 | 464767.6 | 623102 | 194.7634 | 28.67665 | 14.48245 | |
no | 15.74683 | 2170.842 | 6418.412 | 8605 | 14103.13 | 2076.523 | 1048.697 | |
Total | 1156 | 159365 | 471186 | 631707 | ||||
Data | ||||||||
Level of Significance | 0.05 | |||||||
Number of Rows | 2 | |||||||
Number of Columns | 3 | |||||||
Degrees of Freedom | 2 | |||||||
Results | ||||||||
Critical Value | 5.991465 | |||||||
Chi-Square Test Statistic | 17466.27 | |||||||
p-Value | 0 | |||||||
Reject the null hypothesis |
Ans 11)
Expected Frequencies | ||||
Column variable | ||||
saftey injury | fatel | non fatel | no injuries | Total |
yes | 1140.253 | 157194.2 | 464767.6 | 623102 |
no | 15.74683 | 2170.842 | 6418.412 | 8605 |
Total | 1156 | 159365 | 471186 | 631707 |
Ans 12 ) the value of chi-square test = 17466.27
p value is 0.0000 which is less than 0.05 so we reject Ho and conclude that there is association between using safety restraints and injury severity.