table of absorption coefficients

(The values given below should be treated as approximate, as they vary with different specimens of the same material) SI. No Substance Yong’s modulus (Y) 10 11 dyne cm -2 or 10 10 N m -2 Bulk modulus (K) 10 11 dyne cm -2 or 10 10 N m -2 Rigidity modulus..

Material α / °C Iron 12x10 -6 Copper 17x10 -6 Steel 11x10 -6 Gold 14x10 -6 Pyrex glass 3x10 -6 soft glass 9x10 -6 ' a ' of iron is 12x10 - 6 / 0 C means, if a rod of length 1m is heated through 1 0 C, then length increases by an amount of 12x1..

A sales manager wishes to know whether there is a relation between the number of sales persons and sales per day. Find correlation coefficient and test the significance of the correlation coefficient of the following data at ∝ = 0.01. No .of sales persons 2 7 1 3 8 3 4 9 2 ..

The life expectancy at birth (years) of males and females in some countries is shown here. Males 67 69 69 57 55 54 50 49 50 48 Females 77 76 72 60 59 57 53 51 49 50 Calculate the correlation coefficient and describe the relation. => + 0.98; strong positive relationship or - 0.98; strong n..

The scores of 10 students in mathematics and statistics examination are shown in the table. Calculate the coefficient of correlation between these two subjects and describe the relationship. Student A B C D E F G H I J Scores in Mathematics 86 96 72 99 90 88 93 78 82 86 Scores i..

The university authorities wants to analyse the relationship between the student's score in a mathematics examination ( y ), age ( x 1 ) and score in statistics examination ( x 2 ). Determine the (i) multiple correlation coefficient (ii) the coefficient of determination and (iii..

The speed traveled and fuel consumed by the new model of a car manufactured by a company is listed here. Speed (kmph) 30 40 50 60 70 80 90 100 110 120 Fuel (litres/100 kms) 10 8 7 6 6.2 7 7.6 8.3 9 10 Calculate the correlation coefficient between the speed and the fuel consumed and descri..

The age and the systolic blood pressure (in mmHg) of 10 people are given here. Find the correlation coefficient and describe the relation between them. Age 42 62 46 38 42 56 54 48 60 36 Systolic Blood pressure 124 148 124 112 140 145 148 144 154 115 => + 0.871; strong positive relationshi..

The supply and price of an item are shown here. Supply (tonnes) 10 20 30 40 50 60 70 80 90 100 Price ($) 100 75 50 40 30 25 20 15 12 10 Calculate the correlation coefficient and describe the relationship between them. => + 0.12; weak positive relationship or - 0.12; weak negative relation..

The average temperature (in °F) and precipitation (in cm) in 9 places of a state in the month of April-2005 are shown. Average temperature (in °F) 46.7 45.1 45.2 49.2 49.2 50.6 50.7 50.9 50.9 Average precipitation (in cm) 0.67 1.65 0.73 2.48 2.77 2.04 3.12 3.54 2.23 Find the correlation ..