the folowing answer and interpretition shows you what i want from you in the las

Question

the folowing answer and interpretition shows you what i want from you in the last question

Since the P-Value in the above table is less than 0.1, this indicates that there is a statistical difference between driver’s age and their responsibilities about accidents. The difference clearly appears in those with less than 20 years old where the responsible expected value is less than what is observed. This indicates that although young drivers highly participate in accidents, they are less responsible about it.

Q/ IS THE SOLUTION TRUSTED OR NOT ? IF IT IS TRUSTED SOLUTION THEN SOLVE THE FOLOWING QUESTION JUST LIKE THE ABOBE TABLE AND THE EXPLANAITION AS IN THE BOLD PLEASE

If the mean=m, variance= v, observed value=o

We have four groups, g1 age 18-28, the observed responsibility of accident=127, m=0.809, v=0.848

For the same group the observed (not responsible) of accidents=192, m=1.22, v=1.849

Group2 age 29-39 years, o=155(responsible), m=0.5961, v=0.838

Same group o=397 (not responsible), m=1.5269, v1=0.8336

Group 3 age 40-50 o=127(responsible), m=0.635, v=0.841

Same group o=277(not responsible), m=1.385, v=1.835

Group 4 age >=51, o=54(responsible), m=0.446, v=0.849

Same group o=54(not responsible), m=1.628, v=1.856

1-for the data shown which type of test we must use and why

2- Using the test find the expected value for all responsible and not responsible accidents participations

3-if the test used is kai square find using (observed-expected) ^2/expected for all the data groups (responsible and not)

4- Give an explanation or interpret the statistical test results for the significant values after finding p-value for the test

PLEASE I WANT FAST SOLUTION NOTE THIS PAPER SOLUTION ONLINE TITLED AS

Effect of driver's personal characteristics on traffic accidents in Tabuk city in Saudi

Arabia FOR MORE INFORMATION TO HELP ME IN THE SOLUTION .......THANK YOU

Age Responsible Not Responsible Less than 20 yeas 7.43 5.57 2.289 15 15.00 20 *20.00 **0.000 14 *14.29 0.006 21-30 31-40 10.71 0.008 41-50 4.00 3.00 1.333 **1.000 More than 50 2.29 0.723 1.71 0.964 Chi-Sq= 8.041, DF =4, P-value -0.090 sObserved value *Expected value Contribution in 2

Explanation / Answer

SOLUTION GIVEN WAS WRONG.COMPLETELY WRONG.

THE SOLUTION NOT TRUSTED.

ONE SMALL REQUEST THESE ARE 4 QUESTIONS ,EVEN THOUGH I SOLVED THEM IN 1 QUESTION,KINDLY POST AS 4 DIFFERENT QUESTIONS,IT WILL BE QUEUED .ITS A REQUEST.

PLEASE CHECK BELOW SOLUTION

Solution1:

1-for the data shown which type of test we must use and why

we should use chi sq test for independence because we want to check if there is a relationship between age and responsibility.

We are given the counts in each category.

Null hypothesis for the test is

H0:there is no relationship between age and drivers responsibility

and alternative hypothesis is

H1:there is relationship between age and drivers responsibility.

SOLUTION2:

2- Using the test find the expected value for all responsible and not responsible accidents participations

Expected frequecies are already calculated

5*2 contingency table is given below:

Given data is

Coming to answer the question the expected frequencies are given below:

Expected frequencies table are given below:

Solution3:

O----observed frequenices

E----expected frequencies

Solution4:

4- Give an explanation or interpret the statistical test results for the significant values after finding p-value for the test

Chi sq test statistic=8.041

degrees of freedom=(r-1)(c-1)  

=(5-1)(2-1)

=4

that is what degrees of freedom=4

p=0.090

p<0.10

reject null hypothesis

Accept alternative hypothesis.

Conclusion:

there is sufficient statistical evidence at 5% level of significance to conclude that there is a relationship between driver’s age and their responsibilities about accidents.

DRIVERS AGE AND THEIR RESPONSIBILITES ABOUT ACCIDENTS ARE RELATED.

Responsible Not responsible row Total <20 yrs 11 2 13 21-30 20 15 35 31-40 14 11 25 41-50 2 5 7 >50 1 3 4 Column total 48 36 84

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