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Solved: Hart Labs Inc provides mad cow disease testing for both

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The safety of America’s livestock is crucial to the country’s agricultural industry and economy. Mad cow disease, also known as bovine spongiform encephalopathy (BSE), is a serious concern for farmers and consumers alike. That’s where Hart Labs, Inc. comes in. This innovative laboratory provides state and federal governmental agriculture agencies with the latest in testing technology and expertise to prevent the spread of this harmful disease.

Hart Labs, Inc.: Safeguarding America’s Livestock!

Hart Labs, Inc. is a top-tier testing facility that specializes in mad cow disease testing. This dangerous disease can be transmitted through contaminated feed and can cause severe neurological damage in humans. Hart Labs’ cutting-edge equipment and experienced staff ensure that all samples are processed accurately and efficiently, allowing federal and state agencies to take the necessary steps to prevent an outbreak of this harmful disease.

With an extensive portfolio of services, Hart Labs is known for its commitment to quality and accuracy. Their state-of-the-art laboratory equipment and skilled technicians provide reliable results to government agencies, allowing them to make informed decisions for the safety of America’s livestock. Hart Labs is always on the lookout for new ways to improve their testing methods, ensuring that they stay at the forefront of the industry.

We’re Your Trusted Partner in Mad Cow Disease Testing!

At Hart Labs, we pride ourselves on being a trusted partner to both federal and state agricultural agencies. Our team of experts has extensive experience in the field of mad cow disease testing, and we are committed to providing accurate and reliable results. Our laboratory adheres to the highest standards of quality, safety, and efficiency, ensuring that our customers receive the best possible service.

Our clients can count on us to provide timely results and exceptional customer service. We understand the importance of quick turnaround times, especially when it comes to the safety of America’s livestock. That’s why we utilize the latest technology and streamlined processes to provide fast and accurate testing results. Our commitment to excellence has made us a leading lab in the industry and a trusted partner to federal and state agencies.

Hart Labs, Inc. is a leader in mad cow disease testing, safeguarding America’s livestock through the latest technology and expert guidance. With a commitment to quality, accuracy, and customer service, we are your trusted partner in preventing the spread of this harmful disease. Trust Hart Labs to keep your livestock safe and healthy!


Hart Labs, Inc. provides mad cow disease testing for both state and federal governmental agricultural agencies. Because the company’s customers are governmental agencies, prices are strictly regulated. Therefore, Hart Labs must constantly monitor and control its testing costs. Shown below are the standard costs for a typical test.
Direct materials (2 test tubes @ $1.46 per tube) …… $ 2.92
Direct labor (1 hour @ $24 per hour) ……….. 24.00
Variable overhead (1 hour @ $6 per hour) ……… 6.00
Fixed overhead (1 hour @ $10 per hour) ……… 10.00
Total standard cost per test ………….. $42.92
The lab does not maintain an inventory of test tubes. As a result, the tubes purchased each month are used that month. Actual activity for the month of November 2017, when 1,475 tests were conducted, resulted in the following.
Direct materials (3,050 test tubes) …… $4,270
Direct labor (1,550 hours) ………. 35,650
Variable overhead …………. 7,400
Fixed overhead ………….. 15,000
Monthly budgeted fixed overhead is $14,000. Revenues for the month were $75,000, and selling and administrative expenses were $5,000.

Instructions
(a) Compute the price and quantity variances for direct materials and direct labor.
(b) Compute the total overhead variance.
(c) Prepare an income statement for management.
(d) Provide possible explanations for each unfavorable variance.

Hart Labs Inc provides mad cow disease testing for both

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