In: Statistics and Probability
Group Meetings Face-to-Face Meetings
with Individuals E-mails Other
Generation Y 180 240
50 30
Generation X 230 165
50 55
Boomer 220 185 60
35
Mature 205 150 70
75
A newspaper reported on preferred types of office communication by different age groups. Suppose the results were based on a survey of 500 respondents in each age group. The results are cross-classified in the table found below. At the 0.10 level of significance, is there evidence of a relationship between age group and type of communication preferred? Calculate the test statistic
Null hypothesis : Ho : There is no relationship between age group and type of communication preferred(Age group and type of communication are independent)
Alternate Hypothesis : Ha: There is relationship between age group and type of communication preferred(Age group and type of communication are not independent)
Test Statistic
O : Observed Frequency
E: Expected Frequency
Observed Counts/Frequency | Group Meetings | Face-to-Face Meetings with Individuals | E-mails | Other | Row Total |
Generation Y | 180 | 240 | 50 | 30 | 500 |
Generation X | 230 | 165 | 50 | 55 | 500 |
Boomer | 220 | 185 | 60 | 35 | 500 |
Mature | 205 | 150 | 70 | 75 | 500 |
Column Total | 835 | 740 | 230 | 195 | 2000 |
E: Expected Count/Frequency | Group Meetings | Face-to-Face Meetings with Individuals | E-mails | Other |
Generation Y | (500*835) / 2000 | (500*740) / 2000 | (500*230) / 2000 | (500*195) / 2000 |
Generation X | (500*835) / 2000 | (500*740) / 2000 | (500*230) / 2000 | (500*195) / 2000 |
Boomer | (500*835) / 2000 | (500*740) / 2000 | (500*230) / 2000 | (500*195) / 2000 |
E: Expected Count/Frequency | (500*835) / 2000 | (500*740) / 2000 | (500*230) / 2000 | (500*195) / 2000 |
E: Expected Count/Frequency | Group Meetings | Face-to-Face Meetings with Individuals | E-mails | Other |
Generation Y | 208.75 | 185 | 57.5 | 48.7500 |
Generation X | 208.75 | 185 | 57.5 | 48.7500 |
Boomer | 208.7500 | 185 | 57.5000 | 48.7500 |
Mature | 208.7500 | 185 | 57.5000 | 48.7500 |
O | E | O-E | (O-E)2 | (O-E)2/E |
180 | 208.75 | -28.75 | 826.5625 | 3.9596 |
240 | 185 | 55 | 3025 | 16.3514 |
50 | 57.5 | -7.5 | 56.25 | 0.9783 |
30 | 48.75 | -18.75 | 351.5625 | 7.2115 |
230 | 208.75 | 21.25 | 451.5625 | 2.1632 |
165 | 185 | -20 | 400 | 2.1622 |
50 | 57.5 | -7.5 | 56.25 | 0.9783 |
55 | 48.75 | 6.25 | 39.0625 | 0.8013 |
220 | 208.75 | 11.25 | 126.5625 | 0.6063 |
185 | 185 | 0 | 0 | 0.0000 |
60 | 57.5 | 2.5 | 6.25 | 0.1087 |
35 | 48.75 | -13.75 | 189.0625 | 3.8782 |
205 | 208.75 | -3.75 | 14.0625 | 0.0674 |
150 | 185 | -35 | 1225 | 6.6216 |
70 | 57.5 | 12.5 | 156.25 | 2.7174 |
75 | 48.75 | 26.25 | 689.0625 | 14.1346 |
Total | 62.7398 |
Value of the test statistic = 62.7398
Degrees of freedom = (Number of rows -1)x(Number of columns -1)=(4-1)x(4-1)=9
For 9 degrees of freedom,
p-value = 0.0000
As p-value < 0.10:level of significance ; Reject the null hypothesis.
There is sufficient evidence to conclude that There is relationship between age group and type of communication preferred(Age group and type of communication are not independent)