A chi-square test was performed on data to determine whether the age of a driver, 21 years or older, has any association to the number of accidents the driver is involved in. Individuals were grouped into one of the five age groups and asked to report whether they had been in 0, 1, 2, or more than 2 traffic accidents. The data were used to compute the chi-square test statistic x² = 25.38 for a two-way table of the form: Number of accidents 10 |1 12 More than 2 Age of driver 21-30 31-40 41-50 51-60 61-70 Estimate the P-value for this test of significance. P < 0.01 0.01 < P < 0.02 0.02 < P < 0.1 0.1 < P < 0.2

MATLAB: An Introduction with Applications
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A chi-square test was performed on data to
determine whether the age of a driver, 21 years or
older, has any association to the number of
accidents the driver is involved in. Individuals were
grouped into one of the five age groups and asked to
report whether they had been in 0, 1, 2, or more
than 2 traffic accidents. The data were used to
compute the chi-square test statistic x² = 25.38
for a two-way table of the form:
Number
of
accidents
0
|1
12
More
than 2
Age of driver
21-30 31-40 41-50 51-60 61-70
Estimate the P-value for this test of significance.
P < 0.01
0.01 < P < 0.02
0.02 P < 0.1
0.1 < P < 0.2
Transcribed Image Text:A chi-square test was performed on data to determine whether the age of a driver, 21 years or older, has any association to the number of accidents the driver is involved in. Individuals were grouped into one of the five age groups and asked to report whether they had been in 0, 1, 2, or more than 2 traffic accidents. The data were used to compute the chi-square test statistic x² = 25.38 for a two-way table of the form: Number of accidents 0 |1 12 More than 2 Age of driver 21-30 31-40 41-50 51-60 61-70 Estimate the P-value for this test of significance. P < 0.01 0.01 < P < 0.02 0.02 P < 0.1 0.1 < P < 0.2
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