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Suds & Cuts is a local pet grooming shop owned by Collin Bark. Collin has prepared the following standard cost card for each dog bath

image text in transcribedimage text in transcribed Suds \\& Cuts is a local pet grooming shop owned by Collin Bark. Collin has prepared the following standard cost card for each dog bath given: During the month of July, Collin's employees gave 330 baths. The actual results were 715 ounces of shampoo used (cost of \\( \\$ 400 \\). 6,300 gallons of water used (cost of \\( \\$ 441 \\) ), and labor costs for 270 hours (cost of \\( \\$ 2,916 \\) ). Required: 1. Calculate Suds \\& Cuts, direct materials variances for both shampoo and water for the month of July. 2. Calculate Suds \\& Cuts, direct labor variances for the month of July. Complete this question by entering your answers in the tabs below. Calculate Suds \\& Cuts, direct labor variances for the month of July. Note: Indicate the effect of each variance by selecting \"F\" for favorable, \"U\" for unfavorable, and \"None\" for no effect (i.e., zero variance). Round your answers to nearest dollar amount. Suds \\& Cuts is a local pet grooming shop owned by Collin Bark. Collin has prepared the following standard cost card for each dog path given: During the month of July, Collin's employees gave 330 baths. The actual results were 715 ounces of shampoo used (cost of \\( \\$ 400.4 \\) 6,300 gallons of water used (cost of \\( \\$ 441 \\) ), and labor costs for 270 hours (cost of \\( \\$ 2,916 \\) ). Required: 1. Calculate Suds \\& Cuts, direct materials variances for both shampoo and water for the month of July. 2. Calculate Suds \\& Cuts, direct labor variances for the month of July. Complete this question by entering your answers in the tabs below. Calculate Suds \\& Cuts, direct materials variances for both shampoo and water for the month of July. Note: Round your intermediate calculations and final answers to 2 decimal places. Indicate the effect of each variance by selecting \"F\" for favorable, \"U\" for unfavorable, and \"None\" for no effect (i.e., zero variance)

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