A researcher would like to determine whether any particular age group has a greater risk of influenza-related complications. A sample of 50 such cases is categorized according to the victim’s age. The observed frequencies are as follows: UNDER 30 30-60 OVER 60 5 5 40 In the city from which the sample was selected, 30% of the population is in the “under 30” bracket, 40% is in “30-60” and 30% is in “over 60.” This information should be used in determining expected frequency values, since they cannot be based on equal expected frequencies of 1/3 (33%) in each age category. Can the investigator conclude that risk differs with age? Test with the .05 level of significance. What is the value of chi-square that you calculated? 0.25 5.99 48.99 59.58
A researcher would like to determine whether any particular age group has a greater risk of influenza-related complications. A sample of 50 such cases is categorized according to the victim’s age. The observed frequencies are as follows:
UNDER 30 | 30-60 | OVER 60 |
5 | 5 | 40 |
In the city from which the sample was selected, 30% of the population is in the “under 30” bracket, 40% is in “30-60” and 30% is in “over 60.” This information should be used in determining
What is the value of chi-square that you calculated?
0.25 |
||
5.99 |
||
48.99 |
||
59.58 |

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