Question
Categorize each of the following variables Quantitative (Discrete or Continuous) or Qualitative (Nominal or Ordinal). Place an X in the correct cell of the following
Categorize each of the following variables Quantitative (Discrete or Continuous) or Qualitative (Nominal or Ordinal). Place an X in the correct cell of the following table. A variable can ONLY be Quantitative OR Qualitative NOT both.
Variable | Quantitative | Qualitative | ||
Discrete | Continuous | Nominal | Ordinal | |
Male Height | ||||
Male Weight | ||||
Female Height | ||||
Female Weight | ||||
Birth Country | ||||
Education Level | ||||
Female Pulse | ||||
Male Pulse |
Choose 1 Quantitative variable from above and use the data in the information at the very end of these questions for that variable to provide its descriptive statistics. If you use Excel to get the descriptive statistics, you can simply cut the output chart from Excel and paste it here. If you use your calculator (1-Var Stats), be sure to report all the descriptive stats from your calculator screen using the correct symbols.
Use the same quantitative variable that I chose in the previous question. Find the 60th percentile and the 35th percentile of this data set for that variable.Interpret what the 60th percentile and 35th percentile mean. Note: This is sample data.
Male Height | Female Height | Male Weight | Female Weight | |
60.1 | 54.2 | 107.7 | 75.3 | |
60.6 | 54.7 | 122.7 | 90.9 | |
61.4 | 55.6 | 125.6 | 93.9 | |
62.6 | 56.8 | 127.8 | 96.2 | |
64.4 | 58.7 | 137.3 | 106.0 | |
65.1 | 59.5 | 140.0 | 108.8 | |
65.3 | 59.6 | 140.3 | 109.1 | |
65.4 | 59.7 | 140.8 | 109.7 | |
65.9 | 60.2 | 141.4 | 110.3 | |
66.0 | 60.4 | 142.0 | 110.9 | |
66.0 | 60.4 | 149.2 | 118.4 | |
66.0 | 60.4 | 156.8 | 126.3 | |
66.1 | 60.5 | 157.0 | 126.5 | |
66.1 | 60.4 | 158.1 | 127.6 | |
66.5 | 60.8 | 161.6 | 131.2 | |
66.8 | 61.2 | 166.8 | 136.6 | |
66.8 | 61.3 | 178.9 | 149.2 | |
66.9 | 61.3 | 185.6 | 156.1 | |
67.1 | 61.5 | 193.8 | 164.6 | |
67.3 | 61.8 | 198.0 | 169.0 | |
67.9 | 62.4 | 199.8 | 170.8 | |
68.3 | 62.8 | 199.8 | 170.8 | |
68.7 | 63.2 | 199.8 | 170.8 | |
68.9 | 63.4 | 199.8 | 170.8 | |
69.0 | 63.5 | 199.8 | 170.8 | |
69.3 | 63.8 | 205.0 | 176.2 | |
69.4 | 63.9 | 207.0 | 178.3 | |
69.4 | 63.9 | 207.0 | 178.3 | |
69.4 | 63.9 | 208.1 | 179.4 | |
70.4 | 65.0 | 227.5 | 199.5 | |
71.0 | 65.6 | 239.8 | 212.2 | |
71.1 | 65.7 | 241.0 | 213.5 | |
71.6 | 66.2 | 250.5 | 223.4 | |
71.7 | 66.3 | 253.4 | 226.4 | |
73.3 | 68.0 | 285.4 | 259.6 | |
73.6 | 68.3 | 291.5 | 265.9 | |
74.0 | 68.7 | 299.7 | 274.4 | |
75.4 | 70.2 | 327.7 | 303.3 | |
75.8 | 70.6 | 335.7 | 311.6 | |
78.9 | 73.8 | 396.9 | 375.1 | |
80.0 | 74.9 | 417.1 | 396.1 |
Male-PULSE | Female-PULSE |
68 | 76 |
64 | 72 |
88 | 88 |
72 | 60 |
64 | 72 |
72 | 68 |
60 | 80 |
88 | 64 |
76 | 68 |
60 | 68 |
96 | 80 |
72 | 76 |
56 | 68 |
64 | 72 |
60 | 96 |
64 | 72 |
84 | 68 |
76 | 72 |
84 | 64 |
88 | 80 |
72 | 64 |
56 | 80 |
68 | 76 |
64 | 76 |
60 | 76 |
68 | 80 |
60 | 104 |
60 | 88 |
56 | 60 |
84 | 76 |
72 | 72 |
84 | 72 |
88 | 88 |
56 | 80 |
64 | 60 |
56 | 72 |
56 | 88 |
60 | 88 |
64 | 124 |
72 | 64 |
Birth Country | Immigrants 2018 (thousands) |
Mexico | 162 |
Cuba | 76 |
China | 65 |
India | 60 |
Dominican Republic | 57 |
Philippines | 47 |
Vietnam | 34 |
El Salvador | 28 |
Haiti | 21 |
Jamaica | 20 |
Percent of students projected proficiency | Fall 2020 | Fall 2021 |
All Schools | 51.8% | 49.1% |
Low Poverty Schools | 74.7% | 73.1% |
Low to Moderate Poverty Schools | 55.7% | 54.4% |
Moderate to High Poverty Schools | 42.4% | 39.5% |
High Poverty Schools | 24.7% | 17.6% |
Education Level (U.S. 2018) | Age 25 and over | Age 25-30 |
High school diploma orGED | 100% | 92.95% |
Some college | 61.28% | 66.34% |
Associate and/or bachelor's degree | 45.16% | 46.72% |
Bachelor's degree | 34.98% | 36.98% |
Master's and/or doctorate and/or professional degree | 13.04% | 9.01% |
Doctorate and/or professional degree | 3.47% | 2.02% |
Doctorate | 2.03% | 1.12% |
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