Descriptive Statistics Kelly Calle QNT/561 February 15‚ 2015 John Carroll Descriptive Statistics and Interpretation Descriptive statistics is the term given to the analysis of data that helps describe‚ show‚ or summarize data in a meaningful way. Descriptive statistics does not allow conclusions beyond the data analyzed or reach conclusions regarding any hypotheses made. It is only a way to describe the data gathered. Descriptive statistics allows data to be presented in a more meaningful way
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Week 5 Problems Applied Business and Research Statistics 561 1. SupplyCo. is a supplier to a number of firms in an industry. By carefully mining its customer data warehouse‚ SupplyCo. reveals a plausible new model for manufacturing and distributing industry products that would increase the overall efficiency of the industry system‚ reduce costs of production (leading to greater industry profits and more sales for SupplyCo.)‚ and result in greater sales and profits for some of the industry’s
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II. Each influences can be negative influences. A. Supporting details 1. Some parental influence can be negative when parents have bad habits such as: violence‚ bad language and drunks and alcohol. 2. Some parents drop out of school and don’t set standards for their children. B. Supporting details 1. Celebrities tend to be in the media doing negative things such as receiving DUI’s and getting charges. 2. Celebrities often tend to sag‚ curse‚ and be gang related and teens try to imitate them
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cycle: A Christian model for group therapy. By Hook‚ Jan Paul; Hook‚ Joshua N. Journal of Psychology and Christianity‚ Vol 29(4)‚ 2010‚ 308-316. The Healing Cycle is a Christian model that is designed to promote healing and growth from emotional problems in group therapy. In the context of an interpersonal therapy group‚ group members work through the following steps: grace‚ safety‚ vulnerability‚ truth‚ ownership‚ and confession. The final step of confession leads back to grace. For each step of
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NAME December 14‚ 2014 Week 6 Practice Problem 1 XACC/290 General Journal Date Account Titles Debit Credit July 01 Cash 12‚000 Common Stock 12‚000 1 Equipment 8‚000 Accounts Payable 6‚000 Cash 2‚000 3 Cleaning Supplies 900 Accounts Payable 900 5 Prepaid Insurance 1‚800 Cash 1‚800 12 Accounts Receivable 3‚700 Service Revenue 3‚700 18 Accounts Payable 1‚500 Cash 1‚500 20 Salaries Expense
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This archive file of QNT 351 Week 1 Discussion Question 1 includes: What is the importance of statistics in business decision making? Describe a business situation where statistics was used in making a decision. Deadline: ( )‚ Business - General Business I need tutorials from week 1-5 with all assignments!!! Please help me Look for the study areas of your dorm first thing. Every dorm has quiet areas and study corners. Get to know where they are‚ and the vibe in each one. Yes
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This work of QNT 351 Week 5 Discussion Question 2 includes: How do you know you have validated a research study based on data gathered from primary or secondary sources? Have you been involved with any product test-marketing project? Explain. How did the resulting statistics affect the product Deadline: ( )‚ Business - General Business I need tutorials from week 1-5 with all assignments!!! Please help me Keep a notebook and a folder for each class. Even if it isn’t required
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Minda Furgeson Week 6 Acc/290 problem 4-8 Dana La Fontsee opened Pro Window Washing Inc. on July 1‚ 2012. During July the following transactions were completed. July 1 Issued 12‚000 shares of common stock for $12‚000 cash. July 1 Purchased used truck for $8‚000‚ paying $2‚000 cash and the balance on account. July 3 Purchased cleaning supplies for $900 on account. July 5 Paid $1‚800 cash on 1-year insurance policy effective July 1. July 12 Billed customers $3‚700 for cleaning services. July 18
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discount 5. Cu = 16-11 = $5 Co = 9-7 = $2 Critical ratio = 5/(5+2) = 0.7143 μ = 40‚000 σ = 10‚000 Using normal distribution (=norminv(0.7143‚40000‚10000))‚ the optimum order quantity is 45660 jerseys in the first order to maximize profit. 6. Cu = 0.02-0.01 = $0.01 Co = 0.01-0 = $0.01 Critical ratio = 0.01/(0.01+0.01) = 0.5 μ = 300 σ = 75 Using normal distribution (=norminv(0.5‚300‚75))‚ the optimum order quantity is 300 million minutes from Vmail to minimize the expected capacity
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Nicola Elvy Week Five Questions Chapter 11 (#1‚ 11‚ 12) 1. Why do we use the overall cost of capital for investment decisions even when only one source of capital will be used (e.g.‚ debt)? One may think that an investment financed with a low-cost debt facility is adequate on paper but in the long run that very use of that debt can be the cause of an increase the general risk of the firm and in turn will make any future financing more costly. Every project should be scrutinized to
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