Where people turn for news is different for various age groups. A study indicated where different age groups primarily get their news. The results are in the table below. At the 0.05 level of significance, is there evidence of a significant relationship between the age group and where people primarily get their news? If so, explain the relationship.
View the contingency table.
Under 36 | 36-50 | 50+ | |
Local TV | 104 | 118 | 139 |
National TV | 71 | 105 | 129 |
Radio | 78 | 97 | 104 |
Local newspaper | 54 | 79 | 105 |
Internet | 97 | 86 | 74 |
The null and alternative hypotheses to test is
H0: There is no relationship between where people primarily get their news and age group.
H1: There is a relationship between where people primarily get their news and age group.
Calculate the test statistic.
X2 STAT =
(Type an integer or a decimal. Round to three decimal places as needed.)
The following cross tablulation have been provided. The row and column total have been calculated and they are shown below:
Column 1 | Column 2 | Column 3 | Total | |
Row 1 | 104 | 118 | 139 | 361 |
Row 2 | 71 | 105 | 129 | 305 |
Row 3 | 78 | 97 | 104 | 279 |
Row 4 | 54 | 79 | 105 | 238 |
Row 5 | 97 | 86 | 74 | 257 |
Total | 404 | 485 | 551 | 1440 |
Expected Values | Column 1 | Column 2 | Column 3 | Total |
Row 1 | 404*361/1440 = 101.281 | 485*361/1440 = 121.587 | 551*361/1440 = 138.133 | 361 |
Row 2 | 404*305/1440 = 85.569 | 485*305/1440 = 102.726 | 551*305/1440 = 116.705 | 305 |
Row 3 | 404*279/1440 = 78.275 | 485*279/1440 = 93.969 | 551*279/1440 = 106.756 | 279 |
Row 4 | 404*238/1440 = 66.772 | 485*238/1440 = 80.16 | 551*238/1440 = 91.068 | 238 |
Row 5 | 404*257/1440 = 72.103 | 485*257/1440 = 86.559 | 551*257/1440 = 98.338 | 257 |
Total | 404 | 485 | 551 | 1440 |
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