| Course Code | BCSL044 |
| Course Title | Statistical Techniques Lab |
| Assignment Number | BCA(4)/044/Assignment/2019-20 |
| Maximum Marks | 50 |
| Weightage | 25% |
| Last Dates for Submission | 15th October, 2019 (for July 2019 Session) 15th April, 2020 (for January 2020 Session) |
BCA 2nd semester solved assignment 2020
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There are six questions in this assignment, which carries 40 marks. Rest 10 marks are for viva-voce. Answer all the questions. Please go through the guidelines regarding assignments given in the Programme Guide for the format of presentation.
All the following questions must be performed using a statistical package. You may use any statistical package for this purpose.
Q1. Height of students of a class having 40 students was recorded. This data is given in the following table. Perform the tasks given in (i) to (iv) on the data given below using a spreadsheet package:
(Height in cms)
| 147 | 157 | 158 | 169 | 146 | 146 | 172 | 178 | 161 | 168 |
| 146 | 156 | 152 | 175 | 148 | 148 | 179 | 170 | 156 | 173 |
| 169 | 173 | 176 | 179 | 169 | 163 | 173 | 154 | 165 | 156 |
| 170 | 175 | 152 | 177 | 155 | 174 | 151 | 147 | 161 | 174 |
(i) Find the minimum and maximum height using spreadsheet formula. (ii) Create 8 classes with suitable class intervals and create the frequency
distribution. You must use Array formula. (iii) Find the percentage of the students whose height is less than the mean height (iv) Draw the histogram for the data above. Also try to relate it to a normal distribution curve.
Q2. Perform the following tasks using a spreadsheet (you must either enter necessary formula that are required to calculate the value or you may use spreadsheet function for the same): (6)
(i) Find the value of t for the given value of degree of freedom and significance
level (alpha):
Degree of freedom
20
12
Significance
0.01
0.05
(ii) A company manufactures bearings of diameter of size 0.5 cm. A sample of 10 such bearings were taken out of a lot consisting of 1000 bearings. The mean sample width was found to be 0.5020 cm having a standard deviation of 0.0009 cm. Assuming random sampling and a confidence level of 95%, will you accept the bearings. Justify your answer. Make suitable assumption, if any.
Q3. A Pharmaceutical Company produces a medicine involving 10 mg of a chemical. The company has four different plants to produce this medicine. Each day five samples of each plant are taken and quantity of the chemical in them is determined. The following tables lists these details: (10)
The Quantity of desired Chemical (in mgs) in Medicine
| Sample | Plant of the Company | |||
| A | B | C | D | |
| 1 | 10.01 | 9.98 | 9.99 | 10.09 |
| 2 | 10.10 | 9.94 | 9.95 | 10.04 |
| 3 | 10.03 | 9.97 | 9.99 | 10.05 |
| 4 | 10.02 | 9.93 | 9.96 | 10.08 |
| 5 | 10.04 | 9.95 | 9.97 | 10.02 |
Perform an ANOVA using any software to test (at 5% level) whether all the four plants are producing the medicine with correct amount of chemical. Justify your findings. Make suitable assumptions, if any.
Q4. Sales of a departmental store are calculated on daily basis. The following table lists the sales data for first 15 days of the September month. Use spreadsheet software to find the moving averages for the length of 3 and 5. Also draw suitable graphs of these moving averages. (6)
Day
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Sales in Thousand Rupees
50 21 23 19 10 22 85 49 32 15 11 14 15 34 46
Q5. A company packs soap solutions in sealed bottle of 2 liters. The quality of process of producing the bottles is controlled statistically. To do so four different samples are taken at different time each day having 5 samples each. Calculate the control limits for mean and range, and plot the control charts using any statistical software. Make suitable assumptions, if any. (6)
The data is given in the following table:
Sample number of the day
1 2 3 4
The volume of soap (in liters)
2.02 1.99 2.01 2.09 2.08
2.10 2.02 2.10 2.06 2.01
2.04 2.11 2.12 1.89 1.93
2.05 2.09 2.08 1.92 2.13
(Please take the suitable values of d2 , d3, d4 , A2 and other variables.)
Q6. An Ice cream vendor records the sale of Ice-cream in different months as given in the following table. Fit a trend line using any statistical software to this sales data. Make suitable assumptions. (6)
Month
Jan Feb Mar Apr May Jun July
Sales of Ice Cream (in Rupees)
100 200 300 500 800 900 800