A biologist is studving the composition of birds on a lake and counts 61 ducks, 1? geese, 11 cranes, 15 swans, and 6 herons. From previous studies performed around the same time of the vear, she expects 50% of the birds to be ducks, 23% to be geese, 12% to be cranes, 10% to be swans, and 5% to be herons. What are the expected and observed counts? Select one. F\". Expected = 61 ducks, 1? geese, 11 cranes, 15 swans, and 6 herons \\_/ Observed = 55 ducks, 25 geese, 13 cranes, 11 swans, and 6 herons ('5, Expected = 55 ducks, 25 geese, 13 cranes, 11 swans, and 6 herons \\_/ Observed = 55 ducks, 25 geese, 13 cranes, 11 swans, and 6 herons ('5, Expected = 61 ducks, 1? geese, 11 cranes, 15 swans, and 6 herons 'x._./ Observed = 61 ducks, 1? geese, 11 cranes, 15 swans, and 6 herons K's, Expected = 55 ducks, 25 geese, 13 cranes, 11 swans, and 6 herons \\_.x' Observed = 61 ducks, 1? geese, 11 cranes, 15 swans, and 6 herons A university conducted a survey of its recent graduates. The university wanted to measure the quality of a new Engineering course. A survey was conducted during the first offering of the course to evaluate its overall quality. The results of the survey are shown below: Needs Improvement: 55% Meets Expectations: 30% Excellent: 15% The university made improvements to the course earlier this year. Then it conducted another survey to evaluate how these improvements worked. A total of 500 students were surveyed. Their results are shown below: Needs Improvement: 175 students Meets Expectations: 225 students Excellent: 100 students You want to perform a chi-square test for goodness of fit, to see if students' views have changed about the course. Which of the following Python scripts prints the P- value and test statistic for the chi-square test? Select one. from scipy.stats import chisquare statistic, pvalue = goodness_of_fit([275,150,75], f_exp=[175,225,100]) print(statistic) print(pvalue) from scipy.stats import chisquare statistic, pvalue = goodness_of_fit([175,225,100], f_exp=[275,150,75]) print(statistic) print(pvalue) from scipy.stats import chisquare statistic, pvalue = chisquare([275,150,75], f_exp=[175,225,100]) print(statistic) print(pvalue) from scipy.stats import chisquare statistic, pvalue = chisquare([175,225,100], f_exp=[275,150,75]) print(statistic) print(pvalue)A biologist is studying the composition of birds on a lake and counts 61 ducks, 1? geese, 11 cranes, 1S swans, and 6 herons. From previous studies performed around the same time of the year, she expects 50% of the birds to be ducks, 23% to be geese, 12% to be cranes, 10% to be swans, and 5% to be herons. What are the correct null and alternative hypotheses for performing a chisquare goodness of fit test? Select one. F\". Null Hypothesis H0: The distribution of birds observed follows the distribution \\_/ from previous studies. Alternative Hypothesis H1: The distribution of birds observed does not follow the distribution from previous studies. F\". Null Hypothesis HG: The distribution of birds observed follows the Student's t \\_/ distribution. Alternative Hypothesis H1: The distribution of birds observed does not follow the Student's tdistribution. (W, Null Hypothesis H0: The distribution of birds observed does not follow the \\_/ distribution from previous studies. Alternative Hypothesis H1: The distribution of birds observed follows the distribution from previous studies. (W, Null Hypothesis H0: The distribution of birds observed follows the Normal \\_/ distribution. Alternative Hypothesis H1: The distribution of birds observed does not follow the Normal distribution. What is the use of the chisquare goodness of fit test? Select one. C. To test the difference in three or more population means 0. To test how close the distribution of a population is to an expected distribution 0. To test how close the distribution of a population is to a Student's tdistribution C. To test how close the distribution of a population is to a Normal distribution Which of the following Python methods is used to perform chi-square goodness of fit tests? Select one. tukeyhad from scipy.stats submodule O f_oneway from scipy.stats submodule O anova_Im from scipy.stats submodule chisquare from scipy.stats submodule