3 A statistician believes that the number of telephone calls received by an advice centre in a 10 -minute interval can be modelled by the Poisson distribution \(\mathrm { Po } ( 1.9 )\). The number of calls received in a randomly chosen 10-minute interval was recorded on each of 100 days. The results are summarised in the table, together with some of the expected frequencies corresponding to the distribution \(\operatorname { Po } ( 1.9 )\).
| Number of calls | 0 | 1 | 2 | 3 | 4 | 5 | 6 or more |
| Observed frequency | 10 | 18 | 35 | 21 | 11 | 4 | 1 |
| Expected frequency | 14.957 | 28.418 | 26.997 | | | | 1.322 |
- Complete the table.
- Carry out a goodness of fit test, at the \(10 \%\) significance level, to determine whether the statistician's belief is reasonable.
\includegraphics[max width=\textwidth, alt={}, center]{8b2a13d7-62f4-45a7-84c5-7d5bc870b8ce-07_2726_35_97_20}