Imagine you are the Lead Business Analyst atModern Motors, an automobile conglomerate that manufactures cars across a large range of price points. Given the scale of your firm, you have different brands for different consumer segments.

For the price-conscious working-class consumers, Modern Motors manufactures cars under the brandRocinante.The various models of Rocinante fall in the range of5-10 lakh.The brand is known for cars that arevalue for money and very attractive mileage.

For the consumers willing to purchase a luxury car, Modern Motors operates under the brandMarengo.Marengo models fall in the range of30-60 lakh.They are considered sports cars and havehigh horsepower and top speed.

Every time Modern Motors launches a new model, it advertises the model's specifications, such as price, mileage, and top speed, because consumers usually take these factors into account before purchasing cars.

Suppose your chief engineer has recently come up with two new models:Rocinante36 and Marengo32.He promises that they will outperform the existing competitors in the market.

Rocinante36is priced at7 lakhand has been designed to deliver a mileage of22 km/litreand a top speed of140 km/hr.

Marengo32is priced at41 lakhand has been designed to deliver a mileage of15 km/litreand a top speed of210 km/hr.

The chief engineer has built 20 prototypes of each of the two models to check if the cars are performing as per the desired specifications. If the cars are performing better than expected, then the engineer wants to revise the specifications. However, if they are performing worse than expected, then it is an indication that more investment is needed in the design to improve their performance.

The test drive results for the 20 prototypes of each of the two models are provided below titledData Exhibit 1.During the test, the mileage and the top speed is recorded for each of the prototypes. The data will be used for performing hypothesis testing for the claims made on the specifications.

Additionally, the chief engineer reported that the cost of manufacturing the Rocinante36 model would be6 lakh per carand that of the Marengo32 model would be33 lakh per car, including all the overhead expenses. Given the business scenario, you need to invest the total manufacturing cost upfront. The manufacturing cost will be recovered slowly by the next financial year as sales start happening. These details are summarised in the table given below.

Specifications	Rocinante36	Marengo32
Price	7 lakh	41 lakh
Manufacturing cost	6 lakh	33 lakh
Mileage	22 km/litre	15 km/litre
Top speed	140 km/hr	210 km/hr

Currently, the company hasenough cash reserves to invest in only one model.Therefore, as the Lead Business Analyst, you need to carefully choose the right model and decide the number of cars that you want to produce. Since you believe in making data-based decisions, you ask your team to provide you with the sales data of all the past models released under the brands Rocinante and Marengo. The sales data is provided below titledData Exhibit 2.

Remember that you need to present your findings to the CEO by next week. You need to demonstrate these findings in an easy-to-understand presentation, which should also include the analysis that you have performed on the data.

The data in Exhibit 1 and Exhibit 2 will be used to predict the sales for Rocinante36 and Marengo32 and to make decisions regarding which model will generate maximum revenue for the company.

Project objective:

Perform hypothesis testing using MS Excel to verify the claims that the engineering team has made about the specifications (mileage and top speed) of the Rocinante36 and Marengo32 models. .

DataExhibit 1

Rocinante 36	Marengo 32
Car No.	Mileage (km/ltr)	Top speed (km/hr)	Car No.	Mileage (km/ltr)	Top speed (km/hr)
1	21.2	151.9	1	15.04	211.3
2	21.79	147.6	2	15.41	207
3	21.87	145.6	3	15.43	206.2
4	22.71	136.1	4	15.92	213.4
5	22.52	139.7	5	15.2	204.2
6	21.41	146.1	6	15.22	208.7
7	22.71	139.6	7	14.6	200
8	21.71	143	8	14.41	210.9
9	19.95	136.4	9	14.79	208.5
10	20.65	146.6	10	14.81	214.2
11	22.86	139.9	11	15.61	215.8
12	21.12	136.6	12	15.76	215.8
13	22.8	148.5	13	14.97	215.2
14	20.89	143.4	14	14.71	218.7
15	22.49	134.2	15	15.55	208
16	20.94	140.5	16	15.19	212.2
17	20.37	137.8	17	15.36	219.7
18	22.72	135.1	18	15.93	216.4
19	20.54	138.8	19	14.54	205.8
20	21.14	132	20	14.76	209

DataExhibit 2

Rocinante Model

Cars	Sales (in 1,000 units)	Price (in lakh rupees)	Mileage (Km/ltr)	Top speed (Km/hr)
Rocinante 1	171.877	6.1	15.8	168.2
Rocinante 2	139.796	6.1	12.1	149.6
Rocinante 3	178.947	9.9	17	173.4
Rocinante 4	140.022	5.8	11.6	170.6
Rocinante 5	186.476	10	17.2	175
Rocinante 6	192.123	6.5	17.6	173.1
Rocinante 7	175.085	5.5	16	184.6
Rocinante 8	146.882	8.4	13	175.7
Rocinante 9	202.847	6.6	19.3	166.7
Rocinante 10	149.933	8.8	13.3	175.4
Rocinante 11	171.579	9.5	15.8	150.9
Rocinante 12	201.512	9.2	19.2	140.5
Rocinante 13	142.604	8.1	11.7	150.2
Rocinante 14	135.158	5.4	11.2	146.2
Rocinante 15	107.322	5.6	7.8	151.2
Rocinante 16	199.699	6.3	19	143.2
Rocinante 17	202.875	5.8	19.7	178.9
Rocinante 18	204.406	7.7	19.5	168.2
Rocinante 19	107.331	7.2	7.5	164.7
Rocinante 20	190.345	8.4	18.1	182.7
Rocinante 21	108.419	8.4	7.9	165.7
Rocinante 22	150.249	5.7	12.6	137
Rocinante 23	155.882	5.5	12.9	173.9
Rocinante 24	100.98	8.4	7.6	165.1
Rocinante 25	182.679	5.6	16.7	160.1
Rocinante 26	166.752	9.9	15.5	155.6
Rocinante 27	121.561	6.2	9.5	155.4
Rocinante 28	174.256	9.9	16.3	161.9
Rocinante 29	119.018	6.5	9.1	146.8
Rocinante 30	169.842	7.1	15.3	149.5
Rocinante 31	198.311	9.6	19.1	146.5
Rocinante 32	204.875	5.8	19.4	178.9
Rocinante 33	119.561	6.2	9.4	175.4
Rocinante 34	203.875	5.9	19.4	175.9
Rocinante 35	118.561	6.1	9.4	165.4

Marengo Model

Cars	Sales (in 1,000 units)	Price (in lakh rupees)	Mileage (Km/ltr)	Top speed (Km/hr)
Marengo 1	20.896	42.5	9.3	199.4
Marengo 2	31.048	36	9.7	235.2
Marengo 3	29.904	54.7	16.6	240.8
Marengo 4	28.792	42.7	11.7	232.5
Marengo 5	16.776	44.9	13.7	188.8
Marengo 6	18.928	35.5	9.6	184.2
Marengo 7	22.776	51.3	13.7	207.7
Marengo 8	36.824	30.4	12.6	249.5
Marengo 9	22.216	38.4	16.2	175.8
Marengo 10	35.456	32.2	9.6	245.6
Marengo 11	28.576	59.4	11.3	223.3
Marengo 12	33.648	50.8	13.6	240
Marengo 13	33.44	57.5	13.5	250
Marengo 14	34.912	44.6	11.1	247.4
Marengo 15	24.016	34.6	14.1	192
Marengo 16	20.992	56.4	13.4	201.2
Marengo 17	21.696	41.4	12.8	193.3
Marengo 18	17.832	53.7	16	202
Marengo 19	25.624	44.8	12.7	208.9
Marengo 20	21.92	32.4	13.6	176.9
Marengo 21	24.792	40.9	11.6	218.2
Marengo 22	22.256	44.1	11.4	190
Marengo 23	15.488	46.6	16.3	176.8
Marengo 24	21.64	31.4	14.5	178.9
Marengo 25	23.264	54.7	14.3	192.3
Marengo 26	19.328	37.9	9.4	184.1
Marengo 27	27.216	52.9	15.3	240.3
Marengo 28	23.096	42.7	15	192.1
Marengo 29	17.824	54.9	13.5	199
Marengo 30	19.144	44	11.8	181.1
Marengo 31	21.6	42.2	9.3	181.2