52
Data Interpretation Prepared By: Vagmita Pandya

Maths Data Interpretation

Embed Size (px)

Citation preview

Page 1: Maths Data Interpretation

Data Interpretation

Prepared By:Vagmita Pandya

Page 2: Maths Data Interpretation

Production of sugar by six major production units of India in Million Tonnes

PRODUCTION UNITSMONTH A B C D E FAPR 310 180 169 137 140 120MAY 318 179 177 162 140 122JUN 320 160 188 173 135 130JULY 326 167 187 180 146 130AUG 327 150 185 178 145 128

 

Page 3: Maths Data Interpretation

Q-1. In which month the unit B has a contribution of approximately 15% in the total sugar production?

◦ Jun◦ July◦ April◦ Aug

JulyIn Month July, the Unit B has a contribution of approximately 15% in the total sugar production.

Page 4: Maths Data Interpretation

Total production in April  =310+180+169+137+140+120=1056 15% of 1056 =158.4

Total production in June = 1106 15% of 1106 = 165.9

Total production in July = 1136 15% of 1136 = 170.4

Total Production in August = 1113 15% of 1113 = 166.95 ~ 167

Page 5: Maths Data Interpretation

Q-2. Which of the following units shows continuous increase in production of sugar over months?

◦A◦B◦C◦D

◦A

Unit A shows continuous increases in sugar

Page 6: Maths Data Interpretation

Q-3 .In the case of Unit E, in which of the following pairs of months the production of sugar was equal?

◦April and june◦June and july◦July and august◦April and may

April and May

Page 7: Maths Data Interpretation

Q-4. In the month of June, how many units have a share of more than 25% of the total production of sugar?

◦One◦Two◦Three◦Four

One

Total Production in June =320+160+188+173+135+130 = 1106

25% of 1106= 276.5 unitsUnit A(only one) shows more than 25% of the

total production of sugar in the month of june.

Page 8: Maths Data Interpretation

Q- 5. What was approximate percentage decrease in sugar production of unit B in June as compared to April?

◦8%◦10%◦15%◦18%

◦10%

20/180 x 100 {180-160=20} 11.11%10% 180->20

100->?

Page 9: Maths Data Interpretation
Page 10: Maths Data Interpretation

What was the price difference between commodity A and B in the month of April?

◦250◦150◦100◦90

◦Graph

◦150

Difference = 1150 - 1000 = 150

Page 11: Maths Data Interpretation

What was the difference in average price between commodity A and B from April to August?

◦86◦75◦95◦85

◦Graph

Page 12: Maths Data Interpretation
Page 13: Maths Data Interpretation

• Average price of commodity A from April to August

(1000+1050+975+900+1000)/5 4925/5 985

• Average price of commodity B from April to August :

(1150+1100+1100+1000+950)/5 5300/5 1060

◦ Difference 1060-985 75

Page 14: Maths Data Interpretation

In which of the following pairs of months was the price of commodity A same?

◦January-March◦May-June◦April-August◦July-August

Page 15: Maths Data Interpretation
Page 16: Maths Data Interpretation

April – August

Price of commodity A in April = 1000Price of commodity A in August =

1000

Page 17: Maths Data Interpretation

What was the approximate percentage decrease in the price of commodity A from March to April?

◦1%◦9%◦14%◦12%

Page 18: Maths Data Interpretation
Page 19: Maths Data Interpretation

◦12%

Price of commodity A in March = 1125Price of commodity A in April = 1000=125/1125 x 100 {1125-1000=125}=11.11%=12% 1125->125

100->?

Page 20: Maths Data Interpretation

What was the percentage increase in price of commodity B from January to April?

◦15◦20◦17◦10

Page 21: Maths Data Interpretation
Page 22: Maths Data Interpretation

◦15

Price of commodity B in January = 1000

Price of commodity B in April = 1150=150/1000 x100 {1150-1000=150}

1000->150100-

>?=15%

Page 23: Maths Data Interpretation

INCOME AND EXPENDITURE OF A COMPANY OVER THE YEARS

Page 24: Maths Data Interpretation

What was the difference in profit between 1995 and 1996?

◦10 lakhs◦5 lakhs◦15 lakhs◦No profit

Page 25: Maths Data Interpretation

INCOME AND EXPENDITURE OF A COMPANY OVER THE YEARS

Page 26: Maths Data Interpretation

◦10 lakhs

◦Profit = Income - ExpenditureProfit in 1995 = 50-30=Rs. 20 lakhsProfit in 1996 = 40-30 = Rs. 10 lakhsDifference in profit=20-10=Rs. 10

lakhs

Page 27: Maths Data Interpretation

In the case of how many years was the income more than the average income of the given years ?

◦One◦Two◦Three◦Four

Page 28: Maths Data Interpretation

INCOME AND EXPENDITURE OF A COMPANY OVER THE YEARS

Page 29: Maths Data Interpretation

◦Three

Average Income(30+50+40+60+60)/5=240/5=48 {more than average income 48 is

in three years 1995 1997 1998}

Page 30: Maths Data Interpretation

What was the percentage increase in expenditure from 1996 to 1997?

◦10◦33.33◦66.66◦20

Page 31: Maths Data Interpretation

INCOME AND EXPENDITURE OF A COMPANY OVER THE YEARS

Page 32: Maths Data Interpretation

◦33.33

Expenditure in 1996 = Rs. 30 lakhExpenditure in 1997 = Rs. 40 lakhIncrement {40-30=10}10/30*100=33.33 {30->10

100->?}

Page 33: Maths Data Interpretation

The income in 1996 was equal to the expenditure of which of the following years?

◦1994◦1995◦1997◦1998

Page 34: Maths Data Interpretation

◦1997

The income in 1996 was equal to the expenditure in 1997 ie Rs. 40 lakhs.

Page 35: Maths Data Interpretation

In which of the following years was the profit the maximum?

◦1994◦1995◦1996◦1998

Page 36: Maths Data Interpretation

INCOME AND EXPENDITURE OF A COMPANY OVER THE YEARS

Page 37: Maths Data Interpretation

1998

1998 {Profit=Income-Expenditure}

Page 38: Maths Data Interpretation
Page 39: Maths Data Interpretation

If the total amount spent on sports during the year was Rs. 1,50,00,000, the amount spent on cricket and hockey together was

◦25,00,000◦37,50,000◦50,00,000◦60,00,000

Page 40: Maths Data Interpretation
Page 41: Maths Data Interpretation

The amount spent on Cricket and Hockey

40% of 1,50,00,000 15000000/100*40 (25%+15%=40%)=60,00,000

Page 42: Maths Data Interpretation

Out of the following, the country spent the same amount on

◦Hockey and Tennis◦Golf and foot ball◦Cricket and Foot ball◦Football and Hockey

Page 43: Maths Data Interpretation
Page 44: Maths Data Interpretation

◦Football and Hockey

Same amount on football and hockey

Page 45: Maths Data Interpretation

Pie-chart shows that the most popular game of the country is (on the basis of money spent)

◦Cricket◦Football◦Basketball◦Hockey

Cricket

Page 46: Maths Data Interpretation
Page 47: Maths Data Interpretation

The ratio of the total amount spent on football to that spent on hockey is

◦1:15◦1:1◦15:1◦3:20

Page 48: Maths Data Interpretation
Page 49: Maths Data Interpretation

◦1:1

15:151:1

Page 50: Maths Data Interpretation

If the total amount spent on sports during the year was Rs. 1,20,00,000 , how much was spent on basket ball?

◦9,50,000◦10,00,000◦12,00,000◦15,00,000

Page 51: Maths Data Interpretation
Page 52: Maths Data Interpretation

◦15,00,000

The amount spent on basket ball12.5% of 1,20,00,00012000000/100*12.515,00,000