Which inequality does the graph represent?
1 answer:
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Answer:
1. The main objective of the study is to test the claim that the distribution of fatal injuries for cyclists wearing helmets and those without
Null hypothesis: the distribution of fatal injuries for cyclists who do not wear a helmet remains the same distribution for all other cyclists
alternative hypothesis: the distribution of fatal injuries for cyclists who do not wear a helmet does not follow the same distribution for all other cyclists.
for the null hypothesis, the formula for the expected frequency is shown below
E=n*p
E=2075*p
Location of Injury Observed Count Probability p Expected Count
Multiple Locations 1044 0.57. 1182.75
Head 868 0.31. 643.25
Neck 35 0.03. 62.25
Thorax 81 0.06. 124.5
Abdomen/lumbar/ 47 0.03. 62.25
spinem. N=2075
according to the data obtained from the table see graphic 1
P value = 0.0
level of statistical significance Alpha= 0.01
null hypothesis will be rejected if p <0.01
so if we have a p value of 0.0 we can reject the null hypothesis with a significance level of 1%
Correct:
B. Reject Upper H 0. There is sufficient evidence that the distribution of fatal injuries for riders not wearing a helmet does not follow the distribution for all riders.
2. Correct
B. Motorcycle fatalities from head injuries occur more frequently for riders not wearing a helmet.
