X | (X - X̄)² |
362 | 428.49 |
415 | 1043.29 |
358 | 610.09 |
396 | 176.89 |
375 | 59.29 |
389 | 39.69 |
367 | 246.490 |
371 | 136.890 |
409 | 691.690 |
385 | 5.290 |
X | (X - X̄)² | |
total sum | 3827 | 3438.10 |
n | 10 | 10 |
a)
average=ΣX/n = 3827.000 /
10 = 382.7000
std dev = √ [ Σ(X - X̄)²/(n)] = √
(3438.1/10) = 18.54
b)
Z value at 0.95 =
1.645 (excel formula =NORMSINV(
0.95 ) )
z=(x-µ)/σ
so, X=zσ+µ= 1.645 * 18.54
+ 382.7
X = 413.20
(answer)
c)
P( X ≤ 400 ) = P( (X-µ)/σ ≤ (400-382.7)
/18.54)
=P(Z ≤ 0.933 ) =
0.8246 (answer)
The shear strength of each of ten test spot welds is determined, yielding the following data...
The shear strength of each of ten test spot welds is determined,
yielding the following data (psi).
409 415 362 375 367 389 398 403 387 358
The shear strength of each of ten test spot welds is determined, yielding the following data (psi) 409 415362 375 367389 398 403 387 358 (a) Assuming that shear strength is normally distributed, estimate the true average shear strength and standard deviation of shear strength using the method of maximum likelihood. (Round your...
The shear strength of each of ten test spot welds is determined, yielding the following data (psi). 389 382 415 390 362 375 358 409 388 367 (a) Assuming that shear strength is normally distributed, estimate the true average shear strength and standard deviation of shear strength using the method of maximum likelihood. (Round your answers to two decimal places.) average standard deviation (b) Again assuming a normal distribution, estimate the strength value below which 95% of all welds will...
The shear strength of each of ten test spot welds is determined, yielding the following data (psi). 364 415 389 367 375 358 409 362 375 365 (a) Assuming that shear strength is normally distributed, estimate the true average shear strength and standard deviation of shear strength using the method of maximum likelihood. (Round your answers to two decimal places.) average psi standard deviation psi (b) Again assuming a normal distribution, estimate the strength value below which 95% of all...
The shear strength of each of ten test spot welds is determined, yielding the following data (psi). 364 415 389 367 375 358 409 362 375 365 (a) Assuming that shear strength is normally distributed, estimate the true average shear strength and standard deviation of shear strength using the method of maximum likelihood. (Round your answers to two decimal places.) average 377.9 psi standard deviation 20.03 x psi (b) Again assuming a normal distribution, estimate the strength value below which...
The shear strength of each of ten test spot welds is determined, yielding the following data (psi). 409 393 358 361 367 362 374 389 375 415 (a) Assuming that shear strength is normally distributed, estimate the true average shear strength and standard deviation of shear strength using the method of maximum likelihood. (Round your answers to two decimal places.) average 380.3 psi standard deviation psi (b) Again assuming a normal distribution, estimate the strength value below which 95% of...
Shear strength measurements for spot welds have been found to have standard deviation 10 pounds per square inch(psi). (a): If 100 test welds are to be measured, what is the approximate probability that the sample mean will be within 1 psi of the true population mean? (b): If we want the difference between the sample mean to be within 1 psi of the true population mean, with probability of 0.9, how many test welds need to be measured?
The accompanying data resulted from an experiment in which weld diameter x and shear strength y (in pounds) were determined for five different spot welds on steel. A scatterplot shows a pronounced linear pattern. The least-squares line is -940.908.60x. Because 1 lb 0.4536 kg, strength observations can be re-expressed in kilograms through multiplication by this conversion factor: new y = 0.4536(old y), what is the equation of the least-squares line when y is expressed in kilograms? (Give the answer to...