Materials Errors An Dr. Ebrah

Materials Errors An Dr. Ebrah (1) Mean, An experi repeat me 25.8, 26.1 approach;

(2) Mean, 12 measur 4.96, 5.02 (2.3); (iii) (3) Reduc In a magn picotesla.

10?

 

4) Error Consider address the quest columns column w and fourt interested etc. Veri tens of th the three α = 0.123 collected (5) Repo Fifteen m Only thre (i) (99.8 (iii) (100 (v) 97.1 (vii) 98.

(viii) 99.

(x) (99.8 (xii) 98, (xiv) 98,  

s Engineering nalysis Proble himi

standard dev iment was co easurements o 1, 25.8 and 2

; (iii) the stan standard dev rements of th 2, 4.99, 5.24, ) the standard ction of the sta

netometry ex For how muc

in the error r a set of mea tion of how m

. The first col write α to the th columns sh d in the varia fy the statem housands befo e columns bec

3 456 789, i.e d before the th orting results measurements ee of them ob

± 0.270) × 10 0.0 ± 0.3) × 10

× 10³±276 Ω 6 × 103 ± 3 × 4 × 103 ± 36 8 ± 0.3) × 10³ 714 ± 378 Ω 714 ± 3 × 10

g Department ems- 1

viation and st onducted to d of the volum 26.3. Calculat dard deviatio viation and st he sensitivity

5.25, 5.23 a error.

andard error xperiment, aft

ch longer sho

asurements wi many significa lumn should b nine significa hould be

 

tion over a la ent from Sect ore the second come equal to e. the first sign hird significan

s of a resistan bey the five go

0³ Ω 0³ Ω

× 10² Ω .0 × 10² Ω

Ω 0³ Ω

t, Islamic Aza

tandard error etermine the e of hydroch te (i) the mea n using eqn ( tandard error

of a photodio nd 5.01. Calc

ter a minute ould data be c

ith the standar ant figures sh be N, the num ant figures qu

 



 

2 2 1 1

N

arge dynamic

tion 2.7.1 that d significant f o the second s

nificant digit nt figure can b

nce are quoted olden rules. I

ad University

r (1)

concentration hloric acid titr an, (ii) the sta 2.3); (iv) the r (2)

ode circuit (in culate (i) the

of collecting ollected in or

rd error calcu ould be quote mber of measu uoted above. T

 



2

^and





 



range, choose t the number figure in the e ignificant figu

of the error i be quoted?

d here, based dentify the m

(ii) (100 ± 0 (iv) (100.1 (vi) (99.864 (ix) 101.5 × (xi) 95.2 × (xiii) 99000 (xv) 98900

y, Najafabad

n of a sodium rated (all in m andard devia

standard erro

n amps/watt) a mean, (ii) th

g data the sta rder to reduce

ulated to be α ed. Construct urements on w

The third





 

2 2 1 1

N

e values for N

of data points error can be q gure. Repeat th

s 1. How man

on approxima mistakes in the 0.3) × 10³ Ω

± 0.3) × 10³ 45 ± 0.2701)

× 103 ± 0.3 × 10³ ± 273 Ω 0 ± 278 Ω 0 ± 300 Ω

Branch

m hydroxide s ml) are: 25.8 ation using th or of the volum

are: 5.33, 4.9 he standard d

atistical noise e the random e

= 0.987 654 a spreadshee which α is bas

 



2

respective N such as 2, 3

s, N, needs to quoted, i.e. wh

he analysis fo ny data points

ately 10 repea e other results

, Ω

× 10³ Ω 10¹ Ω

.

solution. The 8, 26.2, 26.0, he rough-and-

me.

5, 4.93, 5.08, deviation usin

was reduced error by a fac

321. Here we et with four

sed. In the sec

ely. As we are , 5, 10, 20, 30 o approach a f

hen the value or the case wh

s must be

at measureme s.

e eight 26.5, -ready

, 4.95, ng eqn

d to 1 ctor of

e

cond

e 0, few es in

here

ents.