A market researcher is interested in studying the relationship between gender and smartphone brand preferences among male and female university students. A total sample of 350 students reveals the following information. The following output is obtained using the Pearson's Chi-Squared test in RStudio at a 5% level of significance: Pearson's Chi-squared test data: phonepreference X-squared = 10.31, df = 2, p-value = 0.005769 #EXPECTED VALUES chi $expected Samsung i Phone others Male 68. 35714 65.05714 31.58571 Female 76. 64286 72.94286 35.41429 At a 5% level of significance, use the above RStudio output to determine whether there is evidence of the relationship between gender and smartphone brand preferences. a. State the hypothesis statements. [1] b. State any assumptions made. [1] c. Write the test statistic and the degrees of freedom. [1]