Maria also collected information about the gender identity of the newborn and the respondent's employment status. She ran two univariate chi-square tests to see if: (a) the genders of newborns were represented in equal proportions; and (b) if different types of employment status were equally represented. She ran the tests in SPSS, and the results of each test are shown below.

(a) State the hypothesis being tested below (H0 and Ha). Analyze the results of the test. Be detailed in your answer, and include specific numbers from the results.(use first image for this one)

(b) State the hypothesis being tested below (H0 and Ha). Analyze the results of the test. Be detailed in your answer and include specific numbers from the results.(use the second image for this part)

Test Statistics Gender Of Chi-Square Test Baby Chi-Square .013 Frequencies df Asymp. Sig. .908 Gender Of Baby a. 0 cells (0.0%) have Observed N Expected N Residual expected frequencies less Boy 149 150.0 -1.0 than 5. The Girl 151 150.0 1.0 minimum expected cell frequency is Total 300 150.0.Test Statistics Employed Frequencies Chi-Square 16.220a df 2 Employed Asymp. Sig. 000 Observed N Expected N Residual a. 0 cells (0.0%) have expected not employed 75 100.0 -25.0 frequencies less employed part-time than 5. The 94 100.0 -6.0 minimum Employed full-time 131 100.0 31.0 expected cell Total frequency is 300 100.0