The director of the advertising section in a large newspaper is studying the relationship between the Community type in which a subscriber resides and the section of the newspaper he reads first. A sample of readers is collected and the results are shown below Community Type Section Read New Spor Com S ts ics Total City 171 100 89 360 2.30 0.59 1.22 Chi_sq 13 26 67 Suburb 121 111 99 331 2.68 1.30 0.48 Chi_sq 99 48 7 Rural 131 89 90 310 0.00 Chi_sq 39 Total 423 300 278 1001 the test statistic is 4.473 8.602 4.834 9.488 8.955

In a study to estimate the proportion of residents in a certain city and its suburbs who favor the construction of a nuclear power plant, it is found that 63 of 100 urban residents favor the construction while only 59 of 125 suburban residents are in favor. Is there a significant difference between theproportions of urban and suburban residents who favor construction of the nuclear plant? Use 0.01 level of significance

The Bureau of Transportation tracks the flight arrival performances of the 10 biggest airlines in the UnitedStates. Flights that arrive within 15 minutes of schedule are considered on time. Using sample data consistentwith Bureau of Transportation statistics, in January 2001, a sample of 924 flights showed 742 on time and inJanuary 2002, a sample of 841 flights showed 714 on time. Test the hypothesis at a 0.05 level of significanceto determine whether the major airlines improved on-time flight performance during the one-year period.   Compute for: null and alternative hypothesis in words level of significance and critical value/s and region (graph it please) compute the test statistic decision state the conclusion

A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained. Table 2: Cross tabulation of employee grade and level of absenteeism   Contingency Tables   Grade   LAbsence   1 2 3 Total low   Observed   8   1   0   9     Expected   2.90   3.48   2.61   9.00   high   Observed   2   11   9   22     Expected   7.10   8.52   6.39   22.00   Total   Observed   10   12   9   31     Expected   10.00   12.00   9.00   31.00         2.1 State the appropriate measurement scales for the variables.    2.2 State the null and alternative hypotheses.     2.3 Calculate the expected frequency corresponding to a Grade 3 academic with a high level of absenteeism.    2.4 Find the Chi-Square critical value and test statistic.…