Hi-square comparison of perceptions versus age data

This study aims to perform inferential comparisons between the profiles of fraudsters and perceptions held by a sample of industry experts in order to assess how accurate expert perceptions actually are.
This assignment focuses on age. The data is split into motor fraudsters age (tab 2), household fraudsters age (tab 4) and the perceptions of what age a fraudster is likely to be (described by an allocated percentage of weighting against each age group banding).
The bandings are :
Group 1 17-21 years of age
Group 2 22-26 years of age
Group 3 27-31 years of age
Group 4 32-36 years of age
Group 5 37-41 years of age
Group 6 42-46 years of age
Group 7 47-51 years of age
Group 8 52-56 years of age
Group 9 57-61 years of age
Group 10 62 years of age or older.

The questionnaire question was i??Please assign a percentage to the age groups you think fraudsters most commonly fit into? Your answer should total 100%i??.

Please perform chi-square analysis in order to describe how accurate the perceptions of the participants (tabs 1 and 3) are when compared with the actual ages of fraudsters (tabs 2 and 4).
You may need to recode the data in order to perform the analysis. Please take into account the standard deviation when performing/discussing the chi-square analysis so to best describe how accurate the perceptions are. Missing data has been coded as 99. Please be sure not to make Type I or Type II errors.
Please write up the findings of the chi-square, including an initial full descriptive analysis (mean, range, standard deviation etc) of each data set. Please structure the paper by dealing with motor comparisons first and then the household comparisons, concluding with a discussion which compares the differences and similarities between the findings in the respective sections.