TM Let X denote the number of flaws observed on a large coil of galvanized steel. 75 coils are inspected and the following data were observed for the values of X. 2 3 4 5 13 11 Number of ≤1 flaws UTMUT Frequency 26 31 Does the assumption of a Poisson distribution seem appropriate as a probability model for this data? Use a = 0.01.

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UTM) Let X denote the number of flaws observed on a large coil of galvanized steel. 75 coils are
inspected and the following data were observed for the values of X.
1
2
4
5
Number of
flaws
UTMUT Frequency
26
31
Does the assumption of a Poisson distribution seem appropriate as a probability model
for this data? Use a = 0.01.
1
11
3
Method I
31
19
8
13
UTM) Four methods are under development for making discs of a superconducting material. 50
discs are made by each method and they are checked for superconductivity when cooled
with liquid nitrogen.
11
Method 2
42
8
Method 3
22
28
Method 4
25
25
Failures
UTMUT Superconductors
Use the 0.05 level of significance to test whether the proportions of superconductors are
the same for the four methods.
Transcribed Image Text:UTM) Let X denote the number of flaws observed on a large coil of galvanized steel. 75 coils are inspected and the following data were observed for the values of X. 1 2 4 5 Number of flaws UTMUT Frequency 26 31 Does the assumption of a Poisson distribution seem appropriate as a probability model for this data? Use a = 0.01. 1 11 3 Method I 31 19 8 13 UTM) Four methods are under development for making discs of a superconducting material. 50 discs are made by each method and they are checked for superconductivity when cooled with liquid nitrogen. 11 Method 2 42 8 Method 3 22 28 Method 4 25 25 Failures UTMUT Superconductors Use the 0.05 level of significance to test whether the proportions of superconductors are the same for the four methods.
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