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Data from the department of motor vehicles indicate that 80% of all licensed dri

ID: 3319933 • Letter: D

Question

Data from the department of motor vehicles indicate that 80% of all licensed drivers are older than age 25. In a sample of n = 60 people who recently received speeding tickets, 38 were older than 25 years and the other 22 were age 25 or younger. Is the age distribution for this sample significantly different from the distribution for the population of licensed drivers? Use = .05.

The null hypothesis? The alternative hypothesis?

What are the degrees of freedom?

What is the critical value?

The OBSERVED frequency of drivers over 25 is

The EXPECTED frequency of drivers over 25 is

The OBSERVED frequency of drivers 25 or younger is

The EXPECTED frequency of drivers 25 or younger is

What is the obtained Chi Square test statistic?

What is the correct decision?

I. Accept Ho II. Reject Ho III. Accept H1 IV. Reject H1

Explanation / Answer

observed frequncies are Oi

38 22   

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expected frequencies are Ei

80%of 60 = 48, 20% of 60 = 12

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and claiming hypothesis is

null, Ho: no association exists b/w them

alternative, H1: sample significantly different from the distribution for the population of licensed drivers

level of significance, = 0.05

from standard normal table, chi square value at right tailed, ^2 /2 =5.9915

since our test is right tailed,reject Ho when ^2 o > 5.9915

we use test statistic ^2 o = (Oi-Ei)^2/Ei

from the table take sum of (Oi-Ei)^2/Ei, we get ^2 o = 10.4166

critical value

the value of |^2 | at los 0.05 with d.f, n - 1 = 3 - 1 = 2 is 5.9915

we got | ^2| =10.4166 & | ^2 | =5.9915

make decision

hence value of | ^2 o | > | ^2 | and here we reject Ho

^2 p_value =0.0055

ANSWERS

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null, Ho: no association exists b/w them

alternative, H1: sample significantly different from the distribution for the population of licensed drivers

test statistic: 10.4166

critical value: 5.9915

p-value:0.0055

decision: reject Ho

Observed (Oi ) Expected ( Ei) Oi-Ei (Oi-Ei)^2 (Oi-Ei)^2/Ei 38 48 -10 100 2.0833 22 12 10 100 8.3333