Recently, a large music streaming service has taken steps to try to rid its "new music" recommendation algorithm of gender bias. Specifically, when suggesting a group of new artists to its users, the company's goal is for the gender distribution of the recommended artists to match the gender distribution of all artists on the streaming platform. Listed below are the proportion of all artists on the streaming service from each gender group (that the company collects information about): The company collects a random sample of 120 recommended artists from its new algorithm. Here is the gender information for the 120 sampled recommended artists: Perform a chi-squared test for goodness of fit to determine if the algorithm is truly making recommendations proportional to the total number of artists of each gender category on the streaming platform. Make sure to include the hypotheses, expected counts, degrees of freedom, chi-squared test statistic, p-value, and conclusion. Use a significance level of α=0.05. You may want to use the Chi-Squared Test tool to answer this question: 1- Provide the hypothesis and conclusion of the hypothesis test. 2- As the federal employee responsible for monitoring the national highway system bridges in these three states and ensuring that they maintain a similar distribution of bridge conditions would you see a need to change your current plan of distributing bridge maintenance equally among the three states explain your answer in 1 to 2 sentences.