1. New head garb has been ordered

2. INTRODUCTION, APPROXIMATION AND ERRORS

3. This rapper’s name is Tauheed Epps 2 Chainz Tity Boi Kendrick Lamar

4. 01.01 INTRODUCTION

5. To find velocity from location vs time data of the body, the mathematical procedure used is
Differentiation
Integration

6. The form of the exact solution tois

7. Given the f (x) vs x curve, and the magnitude of the areas as shown, the value ofy x a 5 7 2 b c -2 2 12
Cannot be determined

8. A steel cylindrical shaft at room temperature is immersed in a dry-ice/alcohol bath. A layman estimates the reduction in diameter by using
Less
More
Same
while using the value of the thermal expansion coefficient at -108oF.
Seeing the graph below, the magnitude of contraction you as a USF educated engineer would calculate would be ______________than the layman’s estimate.

9. END

10. 01.02 MEASURING ERRORS

11. The number of significant digits in 2350 is4 5
3 or 4

12. The absolute relative approximate error in an iterative process at the end of the tenth iteration is 0.007%. The least number of significant digits correct in the answer is 2 3 4 5

13. Three significant digits are expected to be correct after an iterative process. The pre-specified tolerance in this case needs to be less than or equal to
0.5%
0.05%
0.005%
0.0005%

14. 01.03 SOURCES OF ERROR

15. Round-off error Truncation error
The error caused by representing numbers such as 1/3 approximately is called
Round-off error
Truncation error

16. The number 6.749832 with 3 significant digits with rounding is
6.75
6.749
6.750

17. Truncation Error Round off Error
The error caused by using only a few terms of the Maclaurin series to calculate ex results mostly in
Truncation Error
Round off Error

18. The number 6.749832 with 3 significant digits with chopping is
6.75
6.749
6.750

19. END

20. 01.04 BINARY REPRESENTATION

21. (8)10=(?)2
1110
1011
0100
1000

22. (01011)2 =(?)10 7 11 15 22

23. 01.05 FLOATING POINT REPRESENTATION

24. Relative absolute true error
Using fixed point representation in a computer puts a upper bound on the ________________ in representing a number.
Absolute true error
Relative absolute true error

25. Relative absolute true error
Using floating point representation in a computer puts a upper bound on the ________________ in representing a number.
Absolute true error
Relative absolute true error

26. 2-bits used for exponent
The absolute relative true error in a floating point representation using chopping for a number is less than
Machine epsilon
2-bits used for exponent

27. add 7 subtract 7 add 15 subtract 15
Five bits are used for the biased exponent. To convert a biased exponent to an unbiased exponent, you would
add 7
subtract 7
add 15
subtract 15

28. END