I have first part graphs if you need them

2. The student wants to investigate if there is any difference in students' IQ test scores between different genders. We will still use the sample in Question 1. but this time we should consider gender difference. [For R. you may want to create 2 new variables. one for male scores and one for female scores. ] 2.1 Calculate sample mean and sample standard deviation separately for male and female students . hs 2.2 Which hypothesis testing method should be used? What is the basis for your choice? What assumptions do we need before using this hypothesis testing method? 2.3 Given this sample, use proper hypothesis testing method to analysis data and provide results and conclusion. Alpha level = 0.05, Your results should include Hypothesis test scores, results, corresponding conclusions, and 95% Confidence Intervals.Gender IQ test score # Gender IQ test score Male 115 21 Female 109 2 Male 114 22 Female 101 3 Male 110 23 Female 115 Male 110 24 Female 109 Male 109 25 Female 109 6 Male 112 26 Female 118 Male 112 27 Female 117 Male 108 28 Female 121 9 Male 110 29 Female 107 10 Male 115 30 Female 116 11 Male 110 31 Female 121 12 Male 108 32 Female 101 13 Male 112 33 Female 103 14 Male 108 34 Female 101 15 Male 107 35 Female hi 99 16 Male 109 36 Female 1 11 Male 111 37 Female 116 18 Male 109 38 Female 122 19 Male 104 39 Female 119 Male 107 40 Female 105 1 . It is known that IQ test scores follows a normal distribution. Ten years ago, the average value of IQ test score is 100 in the population, while the standard deviation is 15. According to the Flynn effect, researchers believe the average IQ test score in the population should have increased (at least) by 6 points. [For R, you may want to create a new variable including all scores.]