The following data represents the GPA of a sample of 15 students enrolled in a math class. Use technology and round to 4 decimal places. GPA2.63.083.473.311.832.812.243.993.322.541.822.822.822.72.01(a) Find the first quartile. (b) Find the third quartile. (c) Find the mean. (d) Find the median. (e) Find the range. (f) Find s. (g) Find the interquartile range. (h) What are the lower and upper limits to find outliers?      LL: UL:(i) Find s2.

(a) First Quartile (Q1): To find the first quartile, we first need to sort the data in ascending order. Then, Q1 is the median of the first half of the data.

(b) Third Quartile (Q3): Similarly, Q3 is the median of the second half of the data.

(c) Mean: The mean is the sum of all the data points divided by the number of data points.

(d) Median: The median is the middle value when the data is sorted in ascending order. If there is an even number of data points, the median is the average of the two middle values.

(e) Range: The range is the difference between the highest and lowest data points.

(f) s (Standard Deviation): The standard deviation is a measure of how spread out the numbers are from the mean. It is calculated by taking the square root of the variance.

(g) Interquartile Range (IQR): The IQR is the range of the middle 50% of the data, calculated as Q3 - Q1.

(h) Lower Limit (LL) and Upper Limit (UL) for Outliers: The LL is calculated as Q1 - 1.5IQR and the UL is calculated as Q3 + 1.5IQR. Any data points outside these limits are considered outliers.

(i) s^2 (Variance): The variance is the average of the squared differences from the mean. It is calculated by squaring the standard deviation.

Please note that the actual calculations would require the specific GPA values and a calculator or statistical software.