Data I Data II

Sample Defective Observations Sample Quanity of Discrepancies per Aircraft

$1613$

$2623$

$3731$

$4544$

$5755$

$6864$

$7674$

$8683$

$9895$

$108104$

$116113$

$126126$

$136$

$145$

$156$

$165$

$173$

$184$

$1912$

$203$

$216$

$226$

$234$

$243$

$256$

$266$

$275$

$289$

$295$

$303$

$314$

$324$

$333$

$346$

$356$ Data I

A manufacturing operation has collected $12$ samples containing $75$ observations each. The components are evaluated based on a defective, or nonconforming state.

$1)$ List the Control Chart Type

$2)$ Calculate the Target, LCL and UCL $($z $=2)$

$3)$ Is the process in or out of control? What evidence supports this assessment?

Data II

A HEMS overhaul shop has collected data on EMS aircraft that have been overhauled and released for inspection. The discrepancies are typically resultant from abnormal vibration, fluid leaks and electrical malfunctions. Using $35$ samples, or aircraft, discrepancies per aircraft have been recorded.

$1)$ List the Control Chart Type

$2)$ Calculate the Target, LCL and UCL $($z $=3)$

$3)$ Is the process in or out of control? What evidence supports this assessment?