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Fall-Line, Inc., is a Great Falls, Montana, manufacturer of a variety of downhill skis. Fall-Line is considering four locations for a new plant: Aspen, Colorado; Medicine Lodge, Kansas; Broken Bow, Nebraska; and Wounded Knee, South Dakota. Annual fixed costs and variable costs per pair of skis are shown in the attached table. a. Plot the total cost curves for all of the communities on a single graph. Identify on the graph the range in volume over which each location would be best. b. What break-even quantity defines each range? Although Aspen’s fixed and variable costs are dominated by those of the other communities, Fall-Line believes that both the demand and the price would be higher for skis made in Aspen than for skis made in the other locations. The attached table also shows those projections. c. Determine which location yields the highest total profit per year. d. Is this location decision sensitive to forecast accuracy? At what minimum sales volume does Aspen become the location of choice?

FOR TUTOR DANIEL ONLY 

need help with math/stastics

Hello just show the same quality of work that you have always shown. Thank you.   Homework 4 Chapter 7: #2, 6, 8, 10, 12, 14, 16, 18, 19, 22

  Newborn weight. A study takes an SRS from a population of full-term infants. The standard deviation of birth weights in this population is 2 pounds. Calculate 95% confidence intervals for ? for samples in which: a)      n = 81 and = 6.1 pounds b)      n = 36 and = 7.0 pounds c)       n = 9 and = 5.8 pounds       SIDS. A sample of 49 sudden infant death syndrome (SIDS) cases had a mean birth weight of 2998 g. Based on other births in the county, we will assume ? = 800 g. Calculate the 95% confidence interval for the mean birth weight of SIDS cases in the county. Interpret your results.       Hemoglobin. Hemoglobin levels in 11-year-old boys vary according to a Normal distribution with ? = 1.2 g/dL. (a) How large a sample is needed to estimate mean ? with 95% confidence so the margin of error is no greater than 0.5 g/dL? (b) How large a sample is needed to estimate ? with margin of error 0.5 g/dL with 99% confidence?                     P-value and confidence interval. A two-sided test of H0: ? = 0 yields a P-value of 0.03. Will the 95% confidence interval for ? include 0 in its midst? Will the 99% confidence interval for ? include 0? Explain your reasoning in each instance.     Critical values for a t-statistic. The term critical value is often used to refer to the value of a test statistic that determines statistical significance at some fixed ? level for a test. For example, ±1.96 are the critical values for a two-tailed z-test at ? = 0.05. a)      In performing a t-test based on 21 observations, what are the critical values for a one-tailed test when ? = 0.05? That is, what values of the tstat will give a one-sided P-value that is less than or equal to 0.05? What are the critical values for a two-tailed test at ? = 0.05?     Menstrual cycle length. Menstrual cycle lengths (days) in an SRS of nine women are as follows: {31, 28, 26, 24, 29, 33, 25, 26, 28}. Use this data to test whether mean menstrual cycle length differs significantly from a lunar month. (A lunar month is 29.5 days.) Assume that population values vary according to a Normal distribution. Use a two-sided alternative. Show all hypothesis-testing steps.       Menstrual cycle length. Exercise 6 calculated the mean length of menstrual cycles in an SRS of n = 9 women. The data revealed days with standard deviation s = 2.906 days. a)      Calculate a 95% confidence interval for the mean menstrual cycle length. b)      Based on the confidence interval you just calculated, is the mean menstrual cycle length significantly different from 28.5 days at ? = 0.05 (two sided)? Is it significantly different from ? = 30 days at the same ?-level? Explain your reasoning. (Section 10.4 in your text considered the relationship between confidence intervals and significance tests. The same rules apply here.)       Water fluoridation. A study looked at the number of cavity-free children per 100 in 16 North American cities BEFORE and AFTER public water fluoridation projects. The table below lists the data. You will need to manually type the data into StatCrunch to use that tool to calculate the requested information. a)      Calculate delta values for each city. Then construct a stemplot of these differences. Interpret your plot. b)      What percentage of cities showed an improvement in their cavity-free rate?   c)       Estimate the mean change with 95% confidence.  

I need these simple 10 questions answered correctly. Must show work and complete work within the hour. 

Question #1   Suppose in the population, the Anger-Out score for men is two points higher than it is for women. The population variances for men and women are both 20. Assume the Anger-Out scores for both genders are normally distributed. Given this information about the population parameters: (a) What is the mean of the sampling distribution of the difference between means? (b) What is the standard error of the difference between means? (c) What is the probability that you would have gotten this mean difference (see #24) or less in your sample?   Question #2   Calculate the 95% confidence interval for the difference between the mean Anger-In score for the athletes and non-athletes. What can you conclude?     Question #3   Is there a difference in how much males and females use aggressive behavior to improve an angry mood? For the "Anger-Out" scores, compare the means for each gender.   Note regarding the attached spreadsheet: the first worksheet is the data. The second worksheet includes a description of the study and a description of the variables. 

Week 1 Assignment The application assessment consists of six short answer questions. All work must be neat, detailed and clearly labeled. Final answers should be identified by either circling or underlining. Submit your work to the appropriate drop box as a Microsoft Word or PDF document. 1.    Math Tutors charges $21 per hour for tutors. The tutors are paid $12 per hour. If Math Tutors has 30 tutors, each working a 30-hour week, how much profit did the company make last week? 2.    An electrician starts off the day with 600 feet of copper wiring on his truck. During the course of the day he uses pieces 100, 82, 25, and 40 feet long. The next day, he purchases another 400 feet and puts it on his truck and later in the day uses pieces of 41, 39, and 44 feet long. How many feet of wiring are still on the truck at the end of the second day? 3.    A driveway requires 4 2/3 truckloads of gravel. If a truck holds 3 1/3 cubic yards of gravel, how many total cubic yards of gravel are used for the foundation? 4.    A board is 7 3/4 feet in length.  How many full sizes pieces of board 1 1/3 feet in length can a carpenter cut from that board of wood? 5.    On a business trip Bob traveled 245.22 miles. If gasoline was $2.87 per gallon and the car averaged 25.3 miles per gallon, determine the cost of the trip. (Round to the nearest cent) 6.    Rally sold 30 flower baskets at a market. She purchased 30 baskets for $142.65, 185 yards of ribbon for $.07 per yard, and $252.50 of assorted flowers. a.    What was Rally’s cost per basket? b.    What was Rally’s profit if she sold all the baskets for $25.99 each?

    Case Study 2: Improving E-Mail Marketing Response Due Week 8 and worth 160 points   Read the following case study.   Students, please view the "Submit a Clickable Rubric Assignment" in the Student Center. Instructors, training on how to grade is within the Instructor Center.   A company wishes to improve its e-mail marketing process, as measured by an increase in the response rate to e-mail advertisements. The company has decided to study the process by evaluating all combinations of two (2) options of the three (3) key factors: E-Mail Heading (Detailed, Generic); Email Open (No, Yes); and E-Mail Body (Text, HTML). Each of the combinations in the design was repeated on two (2) different occasions. The factors studied and the measured response rates are summarized in the following table.      Write a two to three (2-3) page paper in which you:   Use the data shown in the table to conduct a design of experiment (DOE) in order to test cause-and-effect relationships in business processes for the company. Determine the graphical display tool (e.g., Interaction Effects Chart, Scatter Chart, etc.) that you would use to present the results of the DOE that you conducted in Question 1. Provide a rationale for your response.  Recommend the main actions that the company could take in order to increase the response rate of its e-mail advertising. Provide a rationale for your response. Propose one (1) overall strategy for developing a process model for this company that will increase the response rate of its e-mail advertising and obtain effective business process. Provide a rationale for your response.    Your assignment must follow these formatting requirements:   Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions. Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.    The specific course learning outcomes associated with this assignment are:   Build regression models for improving business processes. Design experiments to test cause-and-effect relationships in business processes. Use technology and information resources to research issues in business process improvement. Write clearly and concisely about business process improvement using proper writing mechanics. Points: 160 Case Study 2: Improving E-Mail Marketing Response Criteria Unacceptable Below 70% F Fair 70-79% C Proficient 80-89% B Exemplary 90-100% A 1. Use the data shown in the table to conduct a design of experiment (DOE) in order to test cause-and-effect relationships in business processes for the company. Weight: 20% Did not submit or incompletely used the data shown in the table to conduct a design of experiment (DOE) in order to test cause-and-effect relationships in business processes for the company. Partially used the data shown in the table to conduct a design of experiment (DOE) in order to test cause-and-effect relationships in business processes for the company. Satisfactorily used the data shown in the table to conduct a design of experiment (DOE) in order to test cause-and-effect relationships in business processes for the company. Thoroughly used the data shown in the table to conduct a design of experiment (DOE) in order to test cause-and-effect relationships in business processes for the company. 2. Determine the graphical display tool (e.g., Interaction Effects Chart, Scatter Chart, etc.) that you would use to present the results of the DOE that you conducted in Question 1. Provide a rationale for your response. Weight: 20% Did not submit or incompletely determined the graphical display tool (e.g., Interaction Effects Chart, Scatter Chart, etc.) that you would use to present the results of the DOE that you conducted in Question 1. Did not submit or incompletely provided a rationale for your response. Partially determined the graphical display tool (e.g., Interaction Effects Chart, Scatter Chart, etc.) that you would use to present the results of the DOE that you conducted in Question 1. Partially provided a rationale for your response. Satisfactorily determined the graphical display tool (e.g., Interaction Effects Chart, Scatter Chart, etc.) that you would use to present the results of the DOE that you conducted in Question 1. Satisfactorily provided a rationale for your response. Thoroughly determined the graphical display tool (e.g., Interaction Effects Chart, Scatter Chart, etc.) that you would use to present the results of the DOE that you conducted in Question 1. Thoroughly provided a rationale for your response. 3. Recommend the main actions that the company could take in order to increase the response rate of its e-mail advertising. Provide a rationale for your response. Weight: 25% Did not submit or incompletely recommended the main actions that the company could take in order to increase the response rate of its e-mail advertising. Did not submit or incompletely provided a rationale for your response. Partially recommended the main actions that the company could take in order to increase the response rate of its e-mail advertising. Partially provided a rationale for your response. Satisfactorily recommended the main actions that the company could take in order to increase the response rate of its e-mail advertising. Satisfactorily provided a rationale for your response. Thoroughly recommended the main actions that the company could take in order to increase the response rate of its e-mail advertising. Thoroughly provided a rationale for your response. 4. Propose one (1) overall strategy for developing a process model for this company that will increase the response rate of its e-mail advertising and obtain effective business process. Provide a rationale for your response. Weight: 25% Did not submit or incompletely proposed one (1) overall strategy for developing a process model for this company that will increase the response rate of its e-mail advertising and obtain effective business process. Did not submit or incompletely provided a rationale for your response. Partially proposed one (1) overall strategy for developing a process model for this company that will increase the response rate of its e-mail advertising and obtain effective business process. Partially provided a rationale for your response. Satisfactorily proposed one (1) overall strategy for developing a process model for this company that will increase the response rate of its e-mail advertising and obtain effective business process. Satisfactorily provided a rationale for your response. Thoroughly proposed one (1) overall strategy for developing a process model for this company that will increase the response rate of its e-mail advertising and obtain effective business process. Thoroughly provided a rationale for your response. 5. Writing / Support for ideas Weight: 5% Never uses reasons and evidence that logically support ideas. Rarely uses reasons and evidence that logically support ideas. Partially uses reasons and evidence that logically support ideas. Mostly uses reasons and evidence that logically support ideas. 6. Writing / Grammar and mechanics Weight: 5%   Serious and persistent errors in grammar, spelling, and punctuation. Numerous errors in grammar, spelling, and punctuation. Partially free of errors in grammar, spelling, and punctuation. Mostly free of errors in grammar, spelling, and punctuation.      

Complete questions in the file