Problem 1:With this data about high temperatures in Phoenix, AZ in May 2012, weâre going to generalize about hightemps in the whole state.One-Sample StatisticsNHigh Temperatures, MayMean31Std. Deviation97.83876.76805Std. Error Mean1.215582012, Phoenix AZ inDegrees FahrenheitOne-Sample TestTest Value = 095% Confidence Interval of theDifferencetHigh Temperatures, May80.487dfSig. (2-tailed)30.000Mean Difference97.83871Lower95.3562Upper100.32122012, Phoenix AZ inDegrees FahrenheitWrite a statement interpreting the confidence interval here, assuming a 95% confidence level, andgeneralizing to weather in the whole state.Problem 2:With the reminder that the GSS data is from interviews with English speaking adults in the United Statesâ¦Group StatisticsWOMEN NOT SUITEDFOR POLITICSHIGHEST YEAR OFSCHOOL COMPLETEDdimension1NMeanStd. DeviationStd. Error MeanAGREE13412.823.204.277DISAGREE46913.693.342.154Independent Samples TestLevene’s Test forEquality ofVariancest-test for Equality of MeansMeanSig. (2FHIGHEST YEAR Equal variancesOF SCHOOLassumedCOMPLETEDEqual variancesSig..249not assumed.618tdf-tailed)Std.95% ConfidenceErrorInterval of theDifferenc DifferenceeDifferenceLowerUpper601.008-.866.324-1.503-.229- 222.4.007-.866.317-1.490-.2412.6682.73103a) What is the test variable here?b) What is the grouping variable here?c) Write an applicable null hypothesis for the above tables.d) Write an appropriate test hypothesis for the above tables.e) What can you conclude from the SPSS output about your hypotheses? Why?