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A company manufactures 2,000 units of its flagship product in a day. The quality control department takes a random sample of 40 units to test for quality. The product is put through a wear-and-tear test to determine the number of days it can last. If the product has a lifespan of less than 26 days, it is considered defective. The table gives the sample data that a quality control manager collected.

[tex]\[
\begin{tabular}{|c|c|c|c|c|}
\hline
39 & 31 & 38 & 40 & 29 \\
\hline
32 & 33 & 39 & 35 & 32 \\
\hline
32 & 27 & 30 & 31 & 27 \\
\hline
30 & 29 & 34 & 36 & 25 \\
\hline
30 & 32 & 38 & 35 & 40 \\
\hline
29 & 32 & 31 & 26 & 26 \\
\hline
32 & 26 & 30 & 40 & 32 \\
\hline
39 & 37 & 25 & 29 & 34 \\
\hline
\end{tabular}
\][/tex]

The point estimate of the population mean is [tex]$\square$[/tex], and the point estimate of the proportion of defective units is [tex]$\square$[/tex].