1. An aerospace engineering firm produces a new batch of 10,000 titanium bolts used in aircraft assembly. The quality control department wants to investigate the tensile strength, measured in megapascals (MPa), of the bolts in this new batch to ensure they meet strict safety specifications.
The quality control department initially proposes the following investigative question: "Are the new bolts strong?"
Identify one flaw in this investigative question and state a refined investigative question that addresses the flaw and focuses on a quantitative variable.
To collect data, a technician proposes testing the first 100 bolts produced by the manufacturing machine on a Monday morning.
Identify the sampling method proposed. Explain how this method could introduce bias into the estimate of the mean tensile strength of the entire batch, and state the likely direction of the bias.
To avoid the bias identified in Part B, the department decides to use a stratified random sample. The batch of 10,000 bolts is produced across four different shifts (Morning, Afternoon, Evening, Night), with exactly 2,500 bolts produced per shift.
Describe a procedure the department could use to select a stratified random sample of 100 bolts using these four shifts. Explain one statistical advantage of using a stratified random sample over a simple random sample in this context.
The stratified random sample is successfully implemented. The sample mean tensile strength is with a standard deviation of . The distribution of tensile strengths in the sample is approximately symmetric.
One bolt in the sample had a tensile strength of . Calculate the z-score for this bolt's tensile strength and interpret it in context.
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