Question

the frequency table shows the results of a survey comparing the number of beach towels sold for full price and at a discount during each of the three summer months.

beach towel sales

	full price	discounted	total
month 2	120	5	125
month 3	101	24	125
total	270	30	300

the store owner converts the frequency table to a conditional relative frequency table by row

beach towel sales

	full price	discounted	total

(the rest of the conditional relative frequency table for month 2 and month 3 is not fully shown in the ocr text.)

Explanation:

Since the problem seems incomplete (maybe asking to complete the conditional relative frequency table or analyze it), but assuming we need to find the conditional relative frequencies for Month 2 and Month 3 by row (dividing each cell in the row by the row total).

For Month 2:

Step1: Calculate Full Price relative frequency

Row total for Month 2 is 125. Full Price sales: 120. So relative frequency is $\frac{120}{125} = 0.96$

Step2: Calculate Discounted relative frequency

Discounted sales: 5. So relative frequency is $\frac{5}{125} = 0.04$

For Month 3:

Step1: Calculate Full Price relative frequency

Row total for Month 3 is 125. Full Price sales: 101. So relative frequency is $\frac{101}{125} = 0.808$ (or 0.81 if rounded to two decimal places)

Step2: Calculate Discounted relative frequency

Discounted sales: 24. So relative frequency is $\frac{24}{125} = 0.192$ (or 0.19 if rounded to two decimal places)

If the question was to find these values, the completed table (by row) would be:

	Full Price	Discounted	Total
Month 2	0.96	0.04	1.0
Month 3	0.808	0.192	1.0

(Note: Depending on rounding, Month 3 Full Price could be 0.81 and Discounted 0.19)

If you had a specific question (like finding a particular relative frequency), please clarify, but based on typical problems with such tables, this is the calculation for conditional relative frequencies by row.

Answer:

Since the problem seems incomplete (maybe asking to complete the conditional relative frequency table or analyze it), but assuming we need to find the conditional relative frequencies for Month 2 and Month 3 by row (dividing each cell in the row by the row total).

For Month 2:

Step1: Calculate Full Price relative frequency

Row total for Month 2 is 125. Full Price sales: 120. So relative frequency is $\frac{120}{125} = 0.96$

Step2: Calculate Discounted relative frequency

Discounted sales: 5. So relative frequency is $\frac{5}{125} = 0.04$

For Month 3:

Step1: Calculate Full Price relative frequency

Row total for Month 3 is 125. Full Price sales: 101. So relative frequency is $\frac{101}{125} = 0.808$ (or 0.81 if rounded to two decimal places)

Step2: Calculate Discounted relative frequency

Discounted sales: 24. So relative frequency is $\frac{24}{125} = 0.192$ (or 0.19 if rounded to two decimal places)

If the question was to find these values, the completed table (by row) would be:

	Full Price	Discounted	Total
Month 2	0.96	0.04	1.0
Month 3	0.808	0.192	1.0

(Note: Depending on rounding, Month 3 Full Price could be 0.81 and Discounted 0.19)

If you had a specific question (like finding a particular relative frequency), please clarify, but based on typical problems with such tables, this is the calculation for conditional relative frequencies by row.