signature paper

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Question Description

About Your Signature Assignment

This signature assignment is designed to align with specific program student learning outcome(s) in your program. Program Student Learning Outcomes are broad statements that describe what students should know and be able to do upon completion of their degree. The signature assignments might be graded with an automated rubric that allows the University to collect data that can be aggregated across a location or college/school and used for program improvements.

Purpose of Assignment

The purpose of this assignment is for students to synthesize the concepts learned throughout the course. This assignment will provide students an opportunity to build critical thinking skills, develop businesses and organizations, and solve problems requiring data by compiling all pertinent information into one report.

Assignment Steps

Resources: Microsoft Excel®, Signature Assignment Databases, Signature Assignment Options, Part 3: Inferential Statistics

Scenario: Upon successful completion of the MBA program, say you work in the analytics department for a consulting company. Your assignment is to analyze one of the following databases:

• Manufacturing
• Hospital
• Consumer Food
• Financial

Select one of the databases based on the information in the Signature Assignment Options.

Provide a 1,600-word detailed, statistical report including the following:

• Explain the context of the case
• Provide a research foundation for the topic
• Present graphs
• Explain outliers
• Prepare calculations
• Conduct hypotheses tests
• Discuss inferences you have made from the results

This assignment is broken down into four parts:

• Part 1 – Preliminary Analysis
• Part 2 – Examination of Descriptive Statistics
• Part 3 – Examination of Inferential Statistics
• Part 4 – Conclusion/Recommendations

Part 1 – Preliminary Analysis (3-4 paragraphs)

Generally, as a statistics consultant, you will be given a problem and data. At times, you may have to gather additional data. For this assignment, assume all the data is already gathered for you.

State the objective:

• What are the questions you are trying to address?

Describe the population in the study clearly and in sufficient detail:

• What is the sample?

Discuss the types of data and variables:

• Are the data quantitative or qualitative?
• What are levels of measurement for the data?

Part 2 – Descriptive Statistics (3-4 paragraphs)

Examine the given data.

Present the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary).

Identify any outliers in the data.

Present any graphs or charts you think are appropriate for the data.

Note: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations.

Part 3 – Inferential Statistics (2-3 paragraphs)

Use the Part 3: Inferential Statistics document.

• Create (formulate) hypotheses
• Run formal hypothesis tests
• Make decisions. Your decisions should be stated in non-technical terms.

Hint: A final conclusion saying “reject the null hypothesis” by itself without explanation is basically worthless to those who hired you. Similarly, stating the conclusion is false or rejected is not sufficient.

Part 4 – Conclusion and Recommendations (1-2 paragraphs)

Include the following:

• What are your conclusions?
• What do you infer from the statistical analysis?
• State the interpretations in non-technical terms. What information might lead to a different conclusion?
• Are there any variables missing?
• What additional information would be valuable to help draw a more certain conclusion?

Format your assignment consistent with APA format.

This database contains six variables taken from 20 industries and 140 subindustries in the United States. Some of the industries are food products, textile mill products, furniture, chemicals, rubber products, primary metals, industrial machinery, and transportation equipment. The six variables are Number of Employees, Number of Production Workers, Value Added by Manufacture, Cost of Materials, End-of-Year Inventories, and Industry Group. Two variables, Number of Employees and Number of Production Workers, are in units of 1000. Three variables, Value Added by Manufacture, Cost of Materials, and End-of-Year Inventories, are in million-dollar units. The Industry Group variable consists of numbers from 1 to 20 to denote the industry group to which the particular subindustry belongs.

Option 2: Hospital Database

This database contains observations for six variables on U.S. hospitals. These variables include Geographic Region, Control, Service, Census, Number of Births, and Personnel.

The region variable is coded from 1 to 7, and the numbers represent the following regions:

1 = South

2 = Northeast

3 = Midwest

4 = Southwest

5 = Rocky Mountain

6 = California

7 = Northwest

Control is a type of ownership. Four categories of control are included in the database:

1 = government, nonfederal

2 = nongovernment, not-for-profit

3 = for-profit

4 = federal government

Service is the type of hospital. The two types of hospitals used in this database are:

1 = general medical

2 = psychiatric

Option 3: Consumer Food

The consumer food database contains five variables: Annual Food Spending per Household, Annual Household Income, Non-Mortgage Household Debt, Geographic Region of the U.S. of the Household, and Household Location. There are 200 entries for each variable in this database representing 200 different households from various regions and locations in the United States. Annual Food Spending per Household, Annual Household Income, and Non-Mortgage Household Debt are all given in dollars. The variable Region tells in which one of four regions the household resides. In this variable, the Northeast is coded as 1, the Midwest is coded 2, the South is coded as 3, and the West is coded as 4. The variable Location is coded as 1 if the household is in a metropolitan area and 2 if the household is outside a metro area. The data in this database were randomly derived and developed based on actual national norms.

Option 4: Financial Database

The financial database contains observations on seven variables for 100 companies. The variables are Type of Industry, Total Revenues ($ millions), Total Assets ($ millions), Return on Equity (%), Earnings per Share ($), Dividends per Share ($), and Average Price per Earnings (P/E) ratio. The companies represent seven different types of industries. The variable Type displays a company’s industry type as:

1 = apparel

2 = chemical

3 = electric power

4 = grocery

5 = healthcare products

6 = insurance

7 = petroleum

SIC Code	No. Emp.	No. Prod. Wkrs.	Value Added by Mfg.	Cost of Materials	End Yr. Inven.	Indus. Grp.
201	433	370	23518	78713	3630	1
202	131	83	15724	42774	3157	1
203	204	169	24506	27222	8732	1
204	100	70	21667	37040	3407	1
205	220	137	20712	12030	1155	1
206	89	69	12640	13674	3613	1
207	26	18	4258	19130	1946	1
208	143	72	35210	33521	7199	1
209	171	126	20548	19612	3135	1
211	21	15	23442	5557	5506	2
212	3	2	287	163	42	2
213	2	2	1508	314	155	2
214	6	4	624	2622	554	2
221	52	47	2471	4219	929	3
222	74	63	4307	5357	1427	3
223	13	12	673	1061	325	3
224	17	13	817	707	267	3
225	169	147	8986	10421	2083	3
226	51	41	3145	4140	697	3
227	55	44	4076	7125	1446	3
228	84	76	3806	8994	1014	3
229	61	47	4276	5504	1291	3
231	27	22	1239	716	356	4
232	200	178	9423	8926	2314	4
233	294	250	11045	11121	2727	4
234	38	32	1916	2283	682	4
235	17	14	599	364	197	4
236	34	28	2063	1813	450	4
237	1	1	34	71	17	4
238	31	25	1445	1321	526	4
239	224	179	10603	12376	2747	4
241	83	68	5775	9661	578	5
242	172	147	10404	19285	3979	5
243	257	209	13274	18632	3329	5
244	51	43	1909	2170	355	5
245	82	68	4606	7290	580	5
249	94	78	5518	8135	1604	5
251	273	233	12464	12980	3535	6
252	70	53	5447	4011	829	6
253	37	29	2290	5101	447	6
254	81	61	4182	3755	956	6
259	54	39	2818	2694	718	6
261	15	11	2201	3279	725	7
262	116	90	18848	20596	4257	7
263	55	42	9655	10604	1502	7
265	212	163	15668	24634	3976	7
267	232	182	25918	28963	5427	7
271	403	136	30692	8483	894	8
272	121	16	17982	6940	1216	8
273	136	57	17857	8863	3736	8
274	69	25	9699	2823	874	8
275	604	437	38407	29572	4300	8
276	41	28	3878	3811	688	8
277	21	12	3989	1047	577	8
278	65	50	4388	2055	504	8
279	55	39	4055	1098	236	8
281	80	45	16567	11298	2644	9
282	115	79	25025	34596	6192	9
283	213	106	59813	27187	11533	9
284	126	75	31801	19932	4535	9
285	51	28	8497	9849	2178	9
286	126	75	28886	46935	8577	9
287	37	24	12277	11130	2354	9
289	76	45	11547	13085	2749	9
291	67	43	26006	132880	10718	10
295	25	18	3464	6182	658	10
299	14	8	2187	4446	670	10
301	65	54	7079	7091	1067	11
302	8	7	442	496	175	11
305	61	46	4528	3805	1057	11
306	122	95	7275	7195	1411	11
308	763	598	55621	57264	11874	11
311	15	12	1313	1865	404	12
313	3	2	162	163	35	12
314	37	31	1907	1682	716	12
315	2	2	53	85	62	12
316	6	4	747	395	199	12
317	8	7	328	255	75	12
319	7	6	233	177	40	12
321	12	9	1717	943	282	13
322	60	51	6532	3527	1505	13
323	64	50	4850	4254	883	13
324	17	13	3509	2282	828	13
325	31	25	2176	1387	700	13
326	45	36	2696	1183	600	13
327	205	152	15739	17010	1966	13
328	17	13	999	565	263	13
329	72	53	7838	5432	1652	13
331	221	174	29180	45696	12198	14
332	128	106	9061	6913	1543	14
333	35	26	4200	11184	1834	14
334	15	11	1410	5735	694	14
335	162	123	16670	31892	6377	14
336	94	79	5856	4696	938	14
339	32	23	3164	2790	800	14
341	33	27	3999	9364	1453	15
342	140	107	11750	8720	3124	15
343	45	32	4412	3527	1121	15
344	432	315	27974	31527	7204	15
345	104	81	6936	4909	1768	15
346	259	211	19880	21531	3997	15
347	129	99	7793	6232	1181	15
348	40	24	3528	1689	1077	15
349	300	219	21718	19273	6460	15
351	79	55	10513	12954	3679	16
352	94	70	9545	11858	3339	16
353	205	133	18178	23474	7344	16
354	295	211	22673	14343	6730	16
355	192	110	19221	16515	6823	16
356	265	172	23110	18543	7898	16
357	259	96	41135	60857	10277	16
358	201	147	17521	21819	4857	16
359	392	293	25322	13897	4964	16
361	74	51	6700	5523	1495	17
362	171	120	14278	12657	3887	17
363	108	87	9466	12578	2299	17
364	157	117	13428	11065	3076	17
365	49	37	3459	7621	1070	17
366	258	120	38705	29591	9467	17
367	588	368	84059	44486	13145	17
369	151	106	13920	13398	3514	17
371	772	634	105899	223639	15852	18
372	377	190	45220	42367	36814	18
373	141	108	7903	7760	2165	18
374	31	23	2590	4363	1233	18
375	18	14	1435	1674	412	18
376	81	29	9986	8120	4770	18
379	47	35	3564	5476	1102	18
381	186	68	21071	8760	6183	19
382	272	141	29028	18028	7681	19
384	268	157	31051	16787	7761	19
385	27	17	2390	1020	426	19
386	61	36	14032	8114	2290	19
387	6	4	415	382	177	19
391	43	30	2761	3646	1451	20
393	13	10	685	506	328	20
394	103	76	8327	6604	2608	20
395	35	26	2643	1789	799	20
396	24	19	1406	997	415	20
399	179	123	11199	8530	2861	20

Part 3: Inferential Statistics

Option 1: Manufacturing Database

• The National Association of Manufacturers (NAM) contracts with your consulting company to determine the estimate of mean number of production workers. Construct a 95% confidence interval for the population mean number of production workers. What is the point estimate? How much is the margin of error in the estimate?
• Suppose the average number of employees per industry group in the manufacturing database is believed to be less than 150 (1000s). Test this belief as the alternative hypothesis by using the 140 SIC Code industries given in the database as the sample. Let α = .10. Assume that the number of employees per industry group are normally distributed in the population.
• You are also required to determine whether there is a significant difference between mean Value Added by the Manufacturer and the mean Cost of Materials in manufacturing using alpha of 0.01.
• You are requested to determine whether there is a significantly greater variance among values of Cost of Materials than of End-of-Year Inventories.

Option 2: Hospital Database

• As a consultant, you need to use the Hospital database and construct a 90% confidence interval to estimate the average census for hospitals. Change the level of confidence to 99%. What happened to the interval? Did the point estimate change?
• Determine the sample proportion of the Hospital database under the variable “service” that are “general medical” (category 1). From this statistic, construct a 95% confidence interval to estimate the population proportion of hospitals that are “general medical.” What is the point estimate? How much error is there in the interval?
• Suppose you want to “prove” that the average hospital in the United States averages more than 700 births per year. Use the hospital database as your sample and test this hypothesis. Let alpha be 0.01.
• On average, do hospitals in the United States employ fewer than 900 personnel? Use the hospital database as your sample and an alpha of 0.10 to test this figure as the alternative hypothesis. Assume that the number of births and number of employees in the hospitals are normally distributed in the population.

Option 3: Consumer Food

• Suppose you want to test to determine if the average annual food spending for a household in the Midwest region of the U.S. is more than $8,000. Use the Midwest region data and a 1% level of significance to test this hypothesis. Assume that annual food spending is normally distributed in the population.
• Test to determine if there is a significant difference between households in a metro area and households outside metro areas in annual food spending. Let α = 0.01.
• The Consumer Food database contains data on Annual Food Spending, Annual Household Income, and Non-Mortgage Household Debt broken down by Region and Location. Using Region as an independent variable with four classification levels (four regions of the U.S.), perform three different one-way ANOVA’s—one for each of the three dependent variables (Annual Food Spending, Annual Household Income, Non-Mortgage Household Debt). Did you find any significant differences by region?

Option 4: Financial Database

• Use this database as a sample and estimate the earnings per share for all corporations from these data. Select several levels of confidence an

  We have been offering dedicated medical and nursing writing services to nursing students for several years. Our nursing papers are meticulously crafted to meet the highest academic standards and adhere to the prescribed referencing formats, including APA, MLA, and Chicago style. Our team comprises seasoned nursing writers who possess extensive knowledge and expertise across a wide range of nursing topics. Whether it’s assignments, research papers, case studies, literature reviews, or any other task, our writers are well-equipped to handle them proficiently.

   

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