Asimple random sample of front-seat occupants involved in car crashes is obtained. among 2902 occupants not wearing seat belts, 30 were killed. among 7866 occupants wearing seat belts, 20 were killed. use a 0.05 significance level to test the claim that seat belts are effective in reducing fatalities. complete parts (a) through (c) below. a. test the claim using a hypothesis test. consider the first sample to be the sample of occupants not wearing seat belts and the second sample to be the sample of occupants wearing seat belts. what are the null and alternative hypotheses for the hypothesis? test?

Null hypothesis:  

Alternative hypothesis:  

The p value is a very low value and using the significance given we see that so we can conclude that we have enough evidence to reject the null hypothesis, and we can say the the proportion of people death using seat belts is significant lower than the proportion of deaths no using seat belts .  

Step-by-step explanation:

1) Data given and notation  

represent the number of people killed not using seat belts

represent the number of people killed using seat belts

sample of people not wearing seat belts

sample of people wearing seat belts

represent the proportion of people killed not using seat belts

represent the proportion of people killed using seat belts

z would represent the statistic (variable of interest)  

represent the value for the test (variable of interest)

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that seat belts are effective in reducing fatalities (If using seat belts reduce the proportion of deaths we need to see that the proportion of death using seat belts is lower than not using seat belts) , the system of hypothesis would be:  

Null hypothesis:  

Alternative hypothesis:  

We need to apply a z test to compare proportions, and the statistic is given by:  

  (1)

Where

3) Calculate the statistic

Replacing in formula (1) the values obtained we got this:  

4) Statistical decision

Using the significance level provided , the next step would be calculate the p value for this test.  

Since is a one side lower test the p value would be:  

So the p value is a very low value and using the significance given we see that so we can conclude that we have enough evidence to reject the null hypothesis, and we can say the the proportion of people death using seat belts is significant lower than the proportion of deaths no using seat belts .  

step-by-step explanation:

i have done this all on a piece of paper but idk how to put it on here cuz it needs to be drawn