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electric_work
Course: PEOPLE 159, Fall 2009School: Ohlone
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Word Count: 123
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Period Time Year 1: Jan/Feb Year 1: March/Apr Year 1: May/June Year 1: July/Aug Year 1: Sept/Oct Year 1: Nov/Dec Year 2: Jan/Feb Year 2: March/Apr Year 2: May/June Year 2: July/Aug Year 2: Sept/Oct Year 2: Nov/Dec Year 3: Jan/Feb Year 3: March/Apr Year 3: May/June kWh 3375 2661 2073 2579 2858 2296 2812 2433 2266 3128 3286 2749 3427 578 3792 Cost (dollars) 321.94 221.11 205.16 251.07 279.8 183.84 244.93 218.59...
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Period Time Year 1: Jan/Feb Year 1: March/Apr Year 1: May/June Year 1: July/Aug Year 1: Sept/Oct Year 1: Nov/Dec Year 2: Jan/Feb Year 2: March/Apr Year 2: May/June Year 2: July/Aug Year 2: Sept/Oct Year 2: Nov/Dec Year 3: Jan/Feb Year 3: March/Apr Year 3: May/June
kWh 3375 2661 2073 2579 2858 2296 2812 2433 2266 3128 3286 2749 3427 578 3792
Cost (dollars) 321.94 221.11 205.16 251.07 279.8 183.84 244.93 218.59 213.09 333.49 370.35 222.79 316.18 77.39 385.44
Heating Degree Days 2421 1841 438 15 152 1028 1967 1627 537 26 116 1457 253 1811 632
Average Daily Temp 26 34 58 72 67 48 33 39 66 71
Electricity, x 3375 2661 2073 2579 2858 2296 2812 2433 2266 3128 3286 2749 3427 578 3792 40313
Cost, y x^2 y^2 321.94 11390625 221.11 7080921 205.16 4297329 251.07 6651241 279.8 8168164 183.84 5271616 244.93 7907344 218.59 5919489 213.09 5134756 333.49 9784384 370.35 10797796 222.79 7557001 316.18 11744329 77.39 334084 385.44 14379264 3845.17 116418343
xy 103645.36 48889.63 42090.63 63036.14 78288.04 33797.15 59990.7 47781.59 111215.58 45407.35 137159.12 49635.38 99969.79 5989.21 148563.99 1075459.68 1086547.5 588373.71 425296.68 647509.53 799668.4 422096.64 688743.16 531829.47 482861.94 1043156.72 1216970.1 612449.71 1083548.86 44731.42 1461588.48 11135372.32
SSxx = SSyy = SSxy = r= b1 = b0 =
8075811.73 89770.86 801349.77 0.94 0.1 -10.33
y_bar = x_bar =
256.34 2687.53
SSRegression =
79516.65
Electricity, x 3375 2661 2073 2579 2858 2296 2812 2433 2266 3128 3286 2749 3427 578 3792
Cost, y 321.94 221.11 205.16 251.07 279.8 183.84 244.93 218.59 213.09 333.49 370.35 222.79 316.18 77.39 385.44
SUMMARY OUTPUT Regression Statistics ...
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Ohlone - PEOPLE - 159
Ex 1a F_test two-tailed test p-value = F_crit =2.56 0.0636 greater than alpha 2.70271b right-tailed test p-value = 0.0318 less than alpha F_crit = 2.3002 Ex 2 F_test = 1.88 right-tailed test p-value = 0.0223 less than alpha F_crit = 1.6760Orang
Ohlone - PEOPLE - 159
Date Sept. 1 Sept. 2 Sept. 3 Sept. 4 Sept. 5 Sept. 6 Sept. 7 Sept. 8 Sept. 9 Sept. 10 Sept. 11 Sept. 12 Sept. 13 Sept. 14 Sept. 15 Sept. 16 Sept. 17 Sept. 18 Sept. 19 Sept. 20 Sept. 21 Sept. 22 Sept. 23 Sept. 24 Sept. 25 Sept. 26 Sept. 27 Sept. 28 Se
Ohlone - PEOPLE - 159
MON 0 0 0 0 0.05 0 0.01 0 0 0.12 0 0 1.41 0 0 0 0.47 0 0 0.92 0.01 0.01 0 0 0 0 0.03 0 0.01 0 0.11 0.01 0.49 0 0.01 0 0 0 0.12 0 0 0 0.59 0 0.01 0 0 0.41 0 0 0TUES 0 0 0 0.44 0 0 0 0 0.01 0.06 0 0.02 0.65 0 0 0 0 0.09 0.14 0.36 0 0 0 0 0 0 0 0.11 0
Ohlone - PEOPLE - 159
Ex 1 Right-tailed n= s= alpha = chitest = p-value = chi_crit =81 sigma = 1.28 df = 0.05 108.32 0.02 101.881.1 80Ex 2 Left-tailed n= s= alpha = sigma_sq = df = chi_test = p-value = chi_crit =20 2.5 0.05 10 19 11.88 0.11 10.12Ex 3 Two-tailed
Ohlone - PEOPLE - 159
Ex 1. x_bar = s= n= mu =289 56 16 250alpha =0.01t_test =2.79Ex 2. Two-tailed test p-value = 0.0139 t_crit = 2.95Right-tailed test p-value = 0.01 t_crit = 2.6Ex 3. x_bar = s= n= df = mu = alpha = t_test = Left-tailed test p-value = t_c
Ohlone - PEOPLE - 159
Blue 0.881 0.863 0.775 0.854 0.810 0.858 0.818 0.868 0.803 0.932 0.842 0.832 0.807 0.841 0.932 0.833 0.881 0.818 0.864 0.825 0.855 0.942 0.825 0.869 0.912 0.887 0.886n= s= conf = alpha = alpha/2 = area =27 0.04 0.98 0.02 0.01 0.99 chisqL = chisqR
Ohlone - PEOPLE - 159
Red 0.751 0.841 0.856 0.799 0.966 0.859 0.857 0.942 0.873 0.809 0.890 0.878 0.905x_bar = s= n= confidence = alpha = df = t= E=0.864 0.06 13 0.94 0.06 12 2.08 0.030.8304 < mu <0.8967
Ohlone - PEOPLE - 159
Red 0.751 0.841 0.856 0.799 0.966 0.859 0.857 0.942 0.873 0.809 0.890 0.878 0.905Orange 0.735 0.895 0.865 0.864 0.852 0.866 0.859 0.838 0.863 0.888 0.925 0.793 0.977 0.850 0.830 0.856 0.842 0.778 0.786 0.853 0.864 0.873 0.880 0.882 0.931Yellow 0.
Ohlone - PEOPLE - 159
Name _ Fall 08Computer Assignment #2 Math 159Make sure that you use the correct Excel document for this assignment. You will not receive credit if you use the wrong data. 1. (20 pts) Let x be a random variable with the probability distribution gi
Ohlone - PEOPLE - 159
Name _ Fall 08Computer Assignment #3 Math 159Do ALL calculations in Excel, and email your completed Excel document to rsmedfjeld@ohlone.edu by the beginning of class on Monday November 10th. 1. (10 pts) When there is a large number of trials in a
Ohlone - PEOPLE - 159
Name _ Fall 08Computer Assignment #4 Math 159Do ALL calculations in Excel, and email your completed Excel document to rsmedfjeld@ohlone.edu by the beginning of class on Wednesday November 26th. 1. (25 pts) For all parts of this problem, use the s
UCSB - ECON - 100
Chapter OneThe MarketThe Theory of Economics does not furnish a body of settled conclusions immediately applicable to policy. It is a method rather than a doctrine, an apparatus of the mind, a technique of thinking which helps its possessor to dra
UCSB - ECON - 100
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Chapter FiveChoiceEconomic RationalityThe principal behavioral postulate is that a decisionmaker chooses its most preferred alternative from those available to it. x The available choices constitute the choice set. x How is the most preferred bun
UCSB - ECON - 100
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UCSB - ECON - 100
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UNC Wilmington - CHM - 101
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UNC Wilmington - CHM - 101
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UNC Wilmington - CHM - 101
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Utah State - CS - 5600
Utah State - CS - 5600
Utah State - CS - 5600
Utah State - CS - 5600
Utah State - CS - 5600
Utah State - CS - 5600
Utah State - CS - 5600
Utah State - CS - 5600
Utah State - CS - 5600
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