Business Statistics- NMIMS Latest solved assignments

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Business Stats

April 2021 Examination

Question 1) Nemi Mehta is owning 50 Hectares of land near Junagadh. On his Farm, he cultivates Giloy, which is a medicinal plant in Ayurveda. The below-given table shows the sales of ‘Giloy Vati’ that his team is preparing as per one Ayurveda script (book), and the amount they spend on the Advertisement of it.

Nemi’s problem is to analyze the effect of Advertisement on sales. Firstly, He wants to understand the presence of a linear relationship between the sales and ‘amount spent in advertisement’. He also wants to run a correlation and regression to know whether he should keep spending money on Advertisements or not. If sales figures are not affected by advertisement, he should not spend money on it. So, Calculate Karl Person’s correlation, Regression Model (with bo and b1), R-square, ANOVA Table. Also, provide EXCEL- Generated Output Along with your calculations.

Region codeSales (1NR 000s)Advertising (TV spots per month) (in INR, 000s)
1260.35
2286.17
3279.46
4410.89
5438.212
6315.38
7565.111
8570.016
9426.113
10315.07
11403.610
12220.54
13343.69
14644.617
15520.419
16329.59
17426.011
18343.28
19450.413
20421.814

Ans 1.

To find Karl Person’s correlation the following calculations are need to be done.

Now, for regression output Excel has been used. Since,

Question 2) The table given below is the ‘single year age population’ (taken from census 2011). This table shows the population of people (age-wise) living in Leh at the time of the census 2011 survey. Transform this ungrouped data into Grouped data by forming age groups then find out Mean, Median, Variance, Standard deviation, Ogive, and Histogram. Write the summary based on your calculations.

Age in YearsPopulationAge in YearsPopulationAge in YearsPopulationAge in YearsPopulationAge in YearsPopulation
0992111998222839332696441652
11958121916232935342781451806
21725132138243601352799461460
31814142139254110362450471226
41768152096264089372142481225
51871162044273716382114491006
61888172027283702391725501454
71768182065293084402218
81712192013303475411802
91780202459312844421751
101862212594322684431659

Ans 2.

To transform the given data from ungrouped to grouped data. Consider we want 6 age groups then we need to find class width. The class width is equal to range divided by number of classes. Now, to find range the minimum value inage column is 0 and maximum value is 50.

Since, Range = Maximum – Minimum hence, it becomes Range = 50 – 0 = 50

Now, the class width = Range/6 = 50/6 = 8.33.Hence, by rounding to whole

  1. Mean
  • Median
  • Variance

The standard deviation is nothing but square root of variance.

  • Standard deviation
  • Ogive (Cumulative frequency graph)

Based on the data provided, we can construct the cumulative frequencies associated to each class, by adding all the frequencies up to that class, or equivalently,

Question 3a) The given table shows the rainfall of Gujarat Region. Forecast the rainfall using Exponential Smoothing. Use Alpha =0.2, 0.5 and 0.8. Data is available from 1997 to 2016, use this series for the calculation and forecast the rainfall for the year 2017. To know, the extent the prediction is correct the actual rainfall for 2017 (1024.4 millimeters) is provided. Find out which alpha values among the three suggestions are near to accurate value?

   
SUBDIVISIONYEARANNUAL (in MM)
Gujarat Region19971068.9
Gujarat Region19981070
Gujarat Region1999568.4
Gujarat Region2000550.6
Gujarat Region2001849
Gujarat Region2002637.2
Gujarat Region20031160.3
Gujarat Region20041005.8
Gujarat Region20051316.4
Gujarat Region20061478
Gujarat Region20071178.9
Gujarat Region2008911.1
Gujarat Region2009641.6
Gujarat Region20101088.7
Gujarat Region2011890.5
Gujarat Region2012714
Gujarat Region20131118.6
Gujarat Region2014705.7
Gujarat Region2015622.9
Gujarat Region2016764.9

Ans 3a.

For \alpha=0.2

The exponential smoothing (ES) forecast with smoothing constant α=0.2 for the nth period is computed using the following formula:

Fn​=Fn−1​+α(An−1​−Fn−1)

Question 3b) A new gas-electric hybrid car has recently hit the market. The distance traveled on 1 gallon of fuel is normally distributed with a mean of 65 miles and a standard deviation of 4 miles. Find the probability of the following events. (show the concerned region by z curve)

1. The car travels more than 70 miles per gallon.

2. The car travels less than 60 miles per gallon.

3. The car travels between 55 and 70 miles per gallon.

Ans 3b.

It is given that the distance travelled on 1 gallon of fuel is normally distributed with a mean of 65 miles and a standard deviation of 4 miles. In symbolic form the mean and standard deviation are

\mu = 65 And  \sigma = 4

  1. To find the probability that car travels more than 70 miles per
  • To find the probability that car travels less than 60 miles per gallon i.e. P(X <60)
  • To find probability that the car travels between 55 and 70 miles per gallon i.e. P (55 < X < 70)

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