Option B is the correct answer. The TABLES statement with the operator specifies a two-way table between Satisfaction and Product_Category. The CHISQ option ensures that the chi-square test is performed. The OUT=crosstab option saves the results in a dataset named crosstab. Option A creates the table but doesn't calculate the chi-square statistic. Option C uses TEST CHISQ, which is not the correct syntax for calculating chi-square. Option D uses NOCOL option which does not calculate the chi-square statistic. Option E also uses TEST CHISQ which is not the correct syntax for calculating chi-square. This example demonstrates the importance of using the correct options within PROC FREQ to achieve the desired statistical analysis.

Option A is the only correct code snippet that correctly creates two datasets, 'SALES_BY_PRODUCT' and 'SALES_BY_MONTH'. It uses the statement with 'PRODUCT_ID' and to group the data, and the function to calculate the total quantity sold for each group. The 'output' statement is used to write the calculated totals to the corresponding datasets. Option B uses the 'output' statement with dataset names, which is not supported in this scenario. Option C uses the '+4 operator instead of the function for calculating totals, which will not work correctly. Option D only calculates the total quantity for the 'SALES BY_PRODUCT dataset and not for Option E is similar to option A but creates only the 'SALES_BY_MONTH' dataset.

Option C is the correct answer- It uses the PROC MEANS procedure to calculate the mean of 'SALES_AMOUNT' for each region. The WHERE clause ensures that only sales amounts greater than 1000 are included in the calculation. The OUTPUT statement creates a new dataset called 'SALES SUMMARY with the calculated averages. Option A and D are incorrect because they calculate the average within the data step without grouping by region. Option B is incorrect because it does not filter for sales amounts greater than 1000. Option E is incorrect because it uses PROC SQL which is a different approach from the DATA step.

Option B is the correct code snippet. It uses the SUBSTR function to extract the first 3 characters of the 'City' variable and compare them to 'New'. This correctly identifies cities starting with 'New'. Options A and C use incorrect syntax for comparing the string. They use I," which is not a valid wildcard character in this context. Options D and E dont consider cities starting with 'New'. Only option B accurately implements the logic based on the given rules.

The 'FORMAT option in PROC CONTENTS reveals the formats assigned to variables. If a variable has a defined format, it will be listed in the output. For example, a variable named 'SALARY' with the format '$10.2' will be displayed as such, indicating that the variable has a format assigned to it.