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deborah simmons

deborah s.

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Question 43 A pizza parlor owner collected data and developed a histogram which indicated his delivery times to be exponentially distributed with a mean of 25 minutes. He advertises a maximum order fulfillment time of 35 minutes or the product is free. The probability of an on-time or early delivery is 0.88. A successful delivery earns $12.50 in marginal profits, but a late delivery results in a $3.86 marginal loss. [Fixed costs and overhead ignored.] Determine the expected value of the deliveries. Round your result to the nearest penny. 3 pts

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Thought that is based on emotion rather than reasoning would be considered ______ thought. inductive deductive logical illogical

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6 $a$ m k m_1 f_n = \frac{1}{2\pi} \sqrt{\frac{k}{m + m_1 (L/a)^2}}$

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A liquid boils when a) Vapor pressure equals to external pressure b)

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For April, A total of $66,000 of raw materials was requisitioned from the storeroom for use in production. These requisitioned raw materials included $6,000 of indirect materials. Prepare journal entries to record the use of material in production. a. Debit Work in Process for 66,000 ; credit raw materials for 66,000 b. Debit direct material for 66,000 ; credit raw material for 66,000 . c. Debit Direct material for 60,000 ; debit indirect material for 6,000 ; credit raw materials for 66,000 d. Debit work in process for 60,000 ; debit factory overhead for 6,000 ; credit raw materials for 66,000

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True or False: According to the information on page 204, Table 7-20, soy foods have phytoestrogens which may increase the risk of breast cancer. O True O False

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What is the transformation efficiency of your competent E. coli cell?

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Question Solve: $a - \frac{1}{5} = -\frac{1}{7}$. Provide your answer below: a =

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Criteria to Implement in Your Code The code should contain a while loop. Each pass of the while loop allows the user to create a single spectral band or other simple line shape that spans the entire x-axis range. The x-axis range should contain 1000 data points. Upon exiting the while loop, each band or line shape spectrum, each 1000 points long, should be added together (the y-values should be summed at each x-value) to result in a single complex spectrum. Within the while loop, the user should be given line shape choices using the menu() function that can be selected at runtime. The choices should include: 1. Gaussian curve (y = A * exp(-((x - u)^2) / (2 * sigma^2)), where A is the amplitude, u is the center of the Gaussian curve or its mean position along the x-axis, and sigma serves as the width parameter for the Gaussian curve. 2. Sinusoidal curve (y = A - sin(fx)), where A is the amplitude, f is the frequency, and x is the x-axis position in radians. 3. DC offset (y = C, where C is a constant). 4. A sloped line (y = mx + b, where m is the slope and b is the intercept). 5. Noise (use the rand() function as shown in the code below). The use of the menu() function will require you to use its return value to specify which case or lines of code within the while loop will be executed for that particular line shape. The if, elseif, and else statements can be used to do this as demonstrated below. After exiting the while loop, the summed spectrum result, along with the individual line shape from which it was made, should be plotted using the plot() function. Be sure to add a title and labels on both the x and y axes. Your output should look something like that below, but with a title and axis labels.

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In the chart below, how much is output when L = 2? L Q MP AP 0 0 - - 1 8 2 9 3 27 4 35/4 5 40 17 9 19 18 None of the above

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