60. Refer to the Schools data set in Appendix M, which refers to the 94 school districts in northwest Ohio. Divide the school districts into two groups. Include all schools with less than 2,000 students (small districts) in one group and those with 2,000 or more (large districts) in the other.
a. Compute the mean teacher salary for the two groups. At the .05 significance level, can we
conclude that the mean teacher salary is higher in the larger school districts?
b. Compute the mean amount spent per pupil for the large and the small districts. At the .05 significance level, can we conclude that there is a difference in the mean amount spent?
c. Compute the mean daily percent of students attending for the large and small districts. At
the .05 significance level, can we conclude that there is a difference in the mean daily
attendance?
appendix attached i am in the middle of severe migraine and can not focus need step by step so i can understand this in my current state my mind just went blank
AppendixesTABLES AND DATA SETSABinomial Probability DistributionBFactors for Control ChartsCPoisson DistributionDAreas under the Normal CurveETable of Random NumbersFStudent’s tDistributionGCritical Values of the FDistributionHWilcoxon TValuesICritical Values of ChiSquareJData Set 1 — Real EstateKData Set 2 — Major League BaseballLData Set 3 — OECDMData Set 4 — Northwest Ohio School DistrictsNBanking Data Set — CaseOMegaStat Quick Reference Guide745lin02822_apdx.qxd 10/22/01 7:57 AM Page 745
Appendix ABinomial Probability Distributionn51Probabilityx0.050.100.200.300.400.500.600.700.800.900.9500.9500.9000.8000.7000.6000.5000.4000.3000.2000.1000.05010.0500.1000.2000.3000.4000.5000.6000.7000.8000.9000.950n52Probabilityx0.050.100.200.300.400.500.600.700.800.900.9500.9030.8100.6400.4900.3600.2500.1600.0900.0400.0100.00310.0950.1800.3200.4200.4800.5000.4800.4200.3200.1800.09520.0030.0100.0400.0900.1600.2500.3600.4900.6400.8100.903n53Probabilityx0.050.100.200.300.400.500.600.700.800.900.9500.8570.7290.5120.3430.2160.1250.0640.0270.0080.0010.00010.1350.2430.3840.4410.4320.3750.2880.1890.0960.0270.00720.0070.0270.0960.1890.2880.3750.4320.4410.3840.2430.13530.0000.0010.0080.0270.0640.1250.2160.3430.5120.7290.857n54Probabilityx0.050.100.200.300.400.500.600.700.800.900.9500.8150.6560.4100.2400.1300.0630.0260.0080.0020.0000.00010.1710.2920.4100.4120.3460.2500.1540.0760.0260.0040.00020.0140.0490.1540.2650.3460.3750.3460.2650.1540.0490.01430.0000.0040.0260.0760.1540.2500.3460.4120.4100.2920.17140.0000.0000.0020.0080.0260.0630.1300.2400.4100.6560.815n55Probabilityx0.050.100.200.300.400.500.600.700.800.900.9500.7740.5900.3280.1680.0780.0310.0100.0020.0000.0000.00010.2040.3280.4100.3600.2590.1560.0770.0280.0060.0000.00020.0210.0730.2050.3090.3460.3130.2300.1320.0510.0080.00130.0010.0080.0510.1320.2300.3130.3460.3090.2050.0730.02140.0000.0000.0060.0280.0770.1560.2590.3600.4100.3280.20450.0000.0000.0000.0020.0100.0310.0780.1680.3280.5900.774746Appendixeslin02822_apdx.qxd 10/22/01 7:57 AM Page 746
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