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A Statistics Course at a Large University Is Taught in Each

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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 65455376538555638577455755608396835552678264628871 Sample of semester 2 final marks 45405358754682547559455487776381605653655265606554\begin{array}{l}\begin{array} { | c | c | c | c | c | } \hline { \text { Sample of semester } 1 \text { final marks } } \\\hline 65 & 45 & 53 & 76 & 53 \\\hline 85 & 55 & 63 & 85 & 77 \\\hline 45 & 57 & 55 & 60 & 83 \\\hline 96 & 83 & 55 & 52 & 67 \\\hline 82 & 64 & 62 & 88 & 71 \\\hline\end{array}&\begin{array} { | c | c | c | c | c | } \hline { \text { Sample of semester } 2 \text { final marks } } \\\hline 45 & 40 & 53 & 58 & 75 \\\hline 46 & 82 & 54 & 75 & 59 \\\hline 45 & 54 & 87 & 77 & 63 \\\hline 81 & 60 & 56 & 53 & 65 \\\hline 52 & 65 & 60 & 65 & 54 \\\hline\end{array}\end{array}  Semester 1 Mean 65.48 Stan dard Error 2.679 Median 63 Mode 55 Standard Deviation 13.395 Sample Variance 179.43 Range 43 Minimum 45 Maximum 88 Sum 1637 Count 25 Semester 2  Mean 60.96 Standard Error 2.5136 Median 59 Mode 54 Standard Deviation 12.568 Sample Variance 157.96 Range 47 Minimum 40 Maximum 87 Sum 1524 Count 25\begin{array}{l}\begin{array} { | l | c | } \hline { \text { Semester } 1 } \\\hline \text { Mean } & 65.48 \\\hline \text { Stan dard Error } & 2.679 \\\hline \text { Median } & 63 \\\hline \text { Mode } & 55 \\\hline \text { Standard Deviation } & 13.395 \\\hline \text { Sample Variance } & 179.43 \\\hline \text { Range } & 43 \\\hline \text { Minimum } & 45 \\\hline \text { Maximum } & 88 \\\hline \text { Sum } & 1637 \\\hline \text { Count } & 25 \\\hline\end{array}&\begin{array} { | l | c | } \hline { \text { Semester 2 } } \\\hline \text { Mean } & 60.96 \\\hline \text { Standard Error } & 2.5136 \\\hline \text { Median } & 59 \\\hline \text { Mode } & 54 \\\hline \text { Standard Deviation } & 12.568 \\\hline \text { Sample Variance } & 157.96 \\\hline \text { Range } & 47 \\\hline \text { Minimum } & 40 \\\hline \text { Maximum } & 87 \\\hline \text { Sum } & 1524 \\\hline \text { Count } & 25 \\\hline\end{array}\end{array} Estimate and interpret a 90% confidence interval of the ratio of population variances of final student marks from semester 1 and semester 2.


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Sociological Imagination

The ability to see the relationship between individual experiences and larger social influences, coined by C. Wright Mills.

Spencer's Idea

Associated with Herbert Spencer, who applied evolutionary theory to sociology and philosophy, advocating that society evolves through survival of the fittest.

Symbolic Interactionism

An approach in sociology that emphasizes the role of symbols and language as core elements of all human interaction.

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Basic concepts or ideas that serve as the foundation for a system, theory, or belief.

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