A statistics course at a large university is taught in each semester. A student has noticed that the students in semester 1 and semester 2 are enrolled in different degrees. To investigate, the student takes a random sample of 25 students from semester 1 and 25 students from semester 2 and records their final marks (%) provided in the table below. Excel was used to generate descriptive statistics on each sample.
Assume that student final marks are normally distributed in each semester. Sample of semester 1 final marks 65854596824555578364536355556276856052885377836771 Sample of semester 2 final marks 45464581524082546065535487566058757753657559636554 Semester 1 Mean Stan dard Error Median Mode Standard Deviation Sample Variance Range Minimum Maximum Sum Count 65.482.679635513.395179.43434588163725 Semester 2 Mean Standard Error Median Mode Standard Deviation Sample Variance Range Minimum Maximum Sum Count 60.962.5136595412.568157.96474087152425 Estimate and interpret a 95% confidence interval for the population average final mark for semester 1 students.
Understand the classification of structural steel shapes by their designated letter codes.
Identify and interpret thread notes in structural design documents.
Understand basic welding symbols and their placements on technical drawings.
Differentiate between weld symbols and welding symbols.
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