Quilcene Oysteria farms and sells oysters in the Pacific Northwest. The company harvested and sold 7,100 pounds of oysters in August. The company’s flexible budget for August appears below: Quilcene Oysteria Flexible Budget For the Month Ended August 31 Actual pounds (q) 7,100 Revenue ($4.10q) $ 29,110 Expenses: Packing supplies ($0.25q) 1,775 Oyster bed maintenance ($3,500) 3,500 Wages and salaries ($2,600 + $0.45q) 5,795 Shipping ($0.55q) 3,905 Utilities ($1,270) 1,270 Other ($450 + $0.01q) 521 Total expense 16,766 Net operating income $ 12,344 The actual results for August appear below: Quilcene Oysteria Income Statement For the Month Ended August 31 Actual pounds 7,100 Revenue $ 27,500 Expenses: Packing supplies 1,945 Oyster bed maintenance 3,360 Wages and salaries 6,205 Shipping 3,635 Utilities 1,080 Other 1,141 Total expense 17,366 Net operating income $ 10,134 Required: Calculate the company’s revenue and spending variances for August. (Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i. e., zero variance). Input all amounts as positive values.)

revenue variance = (standard quantity x standard price) - (actual quantity x actual price) = (7,100 x $4.10) - (7,100 x $3.8732) = $29,110 - $27,500 = $1,610 unfavorable (actual revenue was lower than budgeted revenue due to a decrease in sales price).

spending variances:

oyster bed maintenance variance = $3,360 - $3,500 = -$140 favorable

packing supplies variance = $1,945 - $1,775 = $170 unfavorable

wages and salaries variance = $6,205 - $5,795 = $410 unfavorable

shipping costs variance = $3,635 - $3,905 = -$270 favorable

utilities cost variance = $1,080 - $1,270 = -$190 favorable

other expenses variance = $1,141 - $521 = $620 unfavorable

total spending variance = $17,366 - $16,766 = $600 unfavorable (actual expenses were higher than budgeted)

previous business sales - c.

answer: a. the kind of population living in your neighbourhood.

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the tool needs to needs to be used twice – once in order to find what type of people reside in a neighbourhood, and then to see the age groups of the people in the same neighbourhood.