In this assignment, you will be required to calculate descriptive statistics for each numeric variable in the Heart Rate Dataset

Steps

1. Open the Heart Rate Dataset in Excel
2. Sort the quantitativevariables by class(e.g., Male at-rest heart rate and Female at-rest heart rate)
3. Use the Excel Data Analysis ToolPak* tools to calculate each of the following statistics:
   1. Mean of each quantitative variable
   2. Sample variance of each quantitative variable
   3. Sample standard deviation of each quantitative variable
4. Create a table in Excel that summarizes the statistics for each variable.
5. Transfer your summary results to Word.
6. Interpret what the mean and standard deviation specifically tell you about the heart rates of males and females in the sample. Are the heart rates for males or females higher? Which data is more spread out and which is closest to the overall mean rate? Explain your responses.

Heart rate before and after exercise
M=0 F=1	Resting	After Exercise
0	55.0	65.0
0	67.7	79.4
0	80.3	93.4
0	85.2	97.7
0	86.3	99.7
0	76.6	83.7
0	94.4	101.9
0	86.4	100.6
0	83.4	97.4
0	89.8	97.4
0	88.7	97.1
0	78.4	87.2
0	67.0	79.9
0	85.0	100.0
0	86.2	95.9
0	83.9	93.9
0	78.1	87.2
0	64.0	70.7
0	72.8	86.7
0	65.0	75.0
0	80.2	83.3
0	78.2	86.0
0	62.0	88.0
0	75.5	84.4
0	82.7	89.1
0	87.7	95.1
0	76.0	88.7
0	73.4	82.7
0	80.1	94.6
0	77.6	84.6
0	76.6	86.4
0	85.6	96.2
0	74.2	82.1
0	79.0	91.6
0	74.6	86.7
0	88.8	98.8
0	82.1	85.6
0	77.6	80.6
0	77.9	83.8
0	72.0	93.9
0	81.6	90.3
0	91.2	100.6
0	80.3	88.0
0	76.7	91.8
0	88.4	103.0
0	75.2	86.5
0	75.2	84.9
0	73.1	71.9
0	77.0	84.7
0	59.0	68.2
0	84.9	96.0
0	87.5	105.9
0	75.6	84.3
0	84.0	90.4
0	78.2	94.0
0	86.6	90.6
0	84.9	95.1
0	78.8	90.4
0	69.4	82.6
0	78.3	91.1
0	76.9	92.3
0	84.2	87.9
0	76.3	85.9
0	86.3	99.7
0	72.3	80.9
0	81.8	93.8
0	92.8	99.8
0	74.8	90.2
0	91.7	99.2
0	71.0	87.0
0	96.1	100.2
0	82.5	95.1
0	81.9	97.5
0	89.7	94.8
0	81.4	100.9
0	74.8	94.0
0	88.1	102.1
0	69.2	81.4
0	78.8	90.9
0	85.3	94.2
0	74.8	81.3
0	77.7	89.9
0	78.0	89.8
0	80.5	95.3
0	75.4	84.8
0	81.5	84.2
0	73.9	85.2
0	69.4	74.1
0	89.4	96.7
0	70.9	82.0
0	82.9	90.2
0	60.1	79.0
0	74.5	75.6
0	92.3	102.2
0	87.7	98.0
0	78.9	89.7
0	79.8	81.5
0	85.5	97.4
0	87.3	94.1
0	77.8	97.8
0	71.0	80.1
0	70.0	90.7
0	74.8	83.7
1	69.2	79.4
1	80.5	87.4
1	89.4	99.2
1	74.5	88.0
1	70.0	100.0
1	60.0	78.1
1	79.2	90.4
1	80.5	101.3
1	75.4	93.1
1	83.7	90.5
1	73.9	89.1
1	76.0	90.8
1	85.2	93.5
1	82.1	93.5
1	76.3	87.0
1	97.0	104.5
1	81.5	86.5
1	65.3	86.3
1	60.8	86.7
1	78.5	89.9
1	60.4	97.6
1	89.8	92.9
1	87.8	98.5
1	76.2	89.9
1	74.2	88.8
1	67.4	78.8
1	75.5	80.2
1	80.0	90.2
1	76.4	88.0
1	60.0	95.7
1	89.2	96.9
1	83.3	87.7
1	85.8	90.4
1	75.3	84.1
1	77.9	99.0
1	70.0	83.0
1	88.0	94.2
1	86.9	95.0
1	87.1	95.9
1	60.3	82.7
1	81.2	90.7
1	82.9	91.9
1	87.4	103.6
1	83.0	90.0
1	76.8	83.3
1	76.9	87.7
1	79.8	88.2
1	83.2	93.0
1	79.5	88.6
1	82.4	89.3
1	80.8	84.2
1	83.2	94.5
1	71.6	81.5
1	82.8	93.1
1	76.8	92.8
1	93.2	89.4
1	91.4	100.9
1	97.3	103.3
1	88.3	90.1
1	80.6	85.2
1	87.4	91.7
1	96.5	99.3
1	77.9	91.6
1	76.1	84.1
1	85.2	89.7
1	68.6	72.8
1	79.4	91.0
1	85.2	99.1
1	74.3	85.6
1	74.3	89.2
1	78.5	98.5
1	80.4	90.8
1	82.9	85.9
1	78.9	90.7
1	78.6	87.0
1	87.5	93.9
1	78.9	91.4
1	80.0	89.1
1	80.4	89.2
1	88.3	90.5
1	80.6	95.9
1	85.8	90.5
1	84.6	93.0
1	90.5	101.2
1	92.4	101.2
1	84.4	96.7
1	82.3	86.9
1	77.2	85.8
1	83.3	82.1
1	86.2	98.9
1	81.3	97.7
1	90.2	96.4
1	78.4	85.5
1	84.7	90.9
1	89.7	94.3
1	78.4	88.0
1	70.0	80.0