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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

Appendixes TABLES AND DATA SETS A Binomial Probability Distribution B Factors for Control Charts C Poisson Distribution D Areas under the Normal Curve E Table of Random Numbers F Student’s t Distribution G Critical Values of the F Distribution H Wilcoxon T Values I Critical Values of Chi-Square J Data Set 1 — Real Estate K Data Set 2 — Major League Baseball L Data Set 3 — OECD M Data Set 4 — Northwest Ohio School Districts N Banking Data Set — Case O MegaStat Quick Reference Guide 745 lin02822_apdx.qxd 10/22/01 7:57 AM Page 745
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Appendix A Binomial Probability Distribution n 5 1 Probability x 0.05 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 0.95 0 0.950 0.900 0.800 0.700 0.600 0.500 0.400 0.300 0.200 0.100 0.050 1 0.050 0.100 0.200 0.300 0.400 0.500 0.600 0.700 0.800 0.900 0.950 n 5 2 Probability x 0.05 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 0.95 0 0.903 0.810 0.640 0.490 0.360 0.250 0.160 0.090 0.040 0.010 0.003 1 0.095 0.180 0.320 0.420 0.480 0.500 0.480 0.420 0.320 0.180 0.095 2 0.003 0.010 0.040 0.090 0.160 0.250 0.360 0.490 0.640 0.810 0.903 n 5 3 Probability x 0.05 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 0.95 0 0.857 0.729 0.512 0.343 0.216 0.125 0.064 0.027 0.008 0.001 0.000 1 0.135 0.243 0.384 0.441 0.432 0.375 0.288 0.189 0.096 0.027 0.007 2 0.007 0.027 0.096 0.189 0.288 0.375 0.432 0.441 0.384 0.243 0.135 3 0.000 0.001 0.008 0.027 0.064 0.125 0.216 0.343 0.512 0.729 0.857 n 5 4 Probability x 0.05 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 0.95 0 0.815 0.656 0.410 0.240 0.130 0.063 0.026 0.008 0.002 0.000 0.000 1 0.171 0.292 0.410 0.412 0.346 0.250 0.154 0.076 0.026 0.004 0.000 2 0.014 0.049 0.154 0.265 0.346 0.375 0.346 0.265 0.154 0.049 0.014 3 0.000 0.004 0.026 0.076 0.154 0.250 0.346 0.412 0.410 0.292 0.171 4 0.000 0.000 0.002 0.008 0.026 0.063 0.130 0.240 0.410 0.656 0.815 n 5 5 Probability x 0.05 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 0.95 0 0.774 0.590 0.328 0.168 0.078 0.031 0.010 0.002 0.000 0.000 0.000 1 0.204 0.328 0.410 0.360 0.259 0.156 0.077 0.028 0.006 0.000 0.000 2 0.021 0.073 0.205 0.309 0.346 0.313 0.230 0.132 0.051 0.008 0.001 3 0.001 0.008 0.051 0.132 0.230 0.313 0.346 0.309 0.205 0.073 0.021 4 0.000 0.000 0.006 0.028 0.077 0.156 0.259 0.360 0.410 0.328 0.204 5 0.000 0.000 0.000 0.002 0.010 0.031 0.078 0.168 0.328 0.590 0.774 746 Appendixes lin02822_apdx.qxd 10/22/01 7:57 AM Page 746
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