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ssignment.aspx Graw-Hill sment test (Assessment Masters) Back | Next Question 3 Indicate the answer choice that best completes the statement or A hotel in Charleston, South Carolina has 110 rooms. The table shov Hotel Occupancy Month 2010 2011 January 64 68 February 46 51 March 72 78 April 80 77 May 84 89 June 92 96 Find any outliers in the data for 2010. a. 92 b. 96 c. 46 d. no outliers

ssignment.aspx\newlineGraw-Hill\newlinesment\newlinetest (Assessment Masters)\newlineBack | Next\newlineQuestion 33\newlineIndicate the answer choice that best completes the statement or A hotel in Charleston, South Carolina has 110110 rooms. The table shov\newline\begin{tabular}{|l|c|c|}\newline\hline \multicolumn{33}{|c|}{ Hotel Occupancy } \\\newline\hline Month & 2010 \mathbf{2 0 1 0} & 2011 \mathbf{2 0 1 1} \\\newline\hline January & 6464 & 6868 \\\newline\hline February & 4646 & 5151 \\\newline\hline March & 7272 & 7878 \\\newline\hline April & 8080 & 7777 \\\newline\hline May & 8484 & 8989 \\\newline\hline June & 9292 & 9696 \\\newline\hline\newline\end{tabular}\newlineFind any outliers in the data for 20102010.\newlinea. 9292\newlineb. 9696\newlinec. 4646\newlined. no outliers

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Q. ssignment.aspx\newlineGraw-Hill\newlinesment\newlinetest (Assessment Masters)\newlineBack | Next\newlineQuestion 33\newlineIndicate the answer choice that best completes the statement or A hotel in Charleston, South Carolina has 110110 rooms. The table shov\newline\begin{tabular}{|l|c|c|}\newline\hline \multicolumn{33}{|c|}{ Hotel Occupancy } \\\newline\hline Month & 2010 \mathbf{2 0 1 0} & 2011 \mathbf{2 0 1 1} \\\newline\hline January & 6464 & 6868 \\\newline\hline February & 4646 & 5151 \\\newline\hline March & 7272 & 7878 \\\newline\hline April & 8080 & 7777 \\\newline\hline May & 8484 & 8989 \\\newline\hline June & 9292 & 9696 \\\newline\hline\newline\end{tabular}\newlineFind any outliers in the data for 20102010.\newlinea. 9292\newlineb. 9696\newlinec. 4646\newlined. no outliers
  1. Calculate Mean: Calculate the mean of the 20102010 data.
  2. Calculate Standard Deviation: Calculate the standard deviation of the 20102010 data.
  3. Find Outlier Boundaries: Find the outlier boundaries using the 1.5×IQR1.5 \times \text{IQR} rule.
  4. Check Data Points: Check each data point to see if it falls outside the boundaries.
  5. Identify Outliers: Determine if there are any outliers.

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