QUESTION 1 1 points Save Answer Use the Chapter 18 dataset NY Marathon in StatCrunch to complete this exercise. For each year from 1978 to 2016, we have the winning times for the men's race and the women's race for the New York City Marathon. Assuming that performances in the Big Apple resemble performances elsewhere, we can think of these data as a sample of performances in marathon competitions. We want to know if there is a difference between men's marathon times and women's marathon times, on average. Let a=0.05. What is the symbol for the parameter of interest here? OHM HF OH OP QUESTION 2 1 points Save Answer Choose the appropriate set of hypotheses. OH : u #O vs. H u =0 OHMy-H=O vs. H H - 1,#0 OH : 1 =0 vs. H :u #0 OHH -H #0 vs. H H - HF=0QUESTION 3 1 points - Use StatCrunch to perform the hypothesis test with Men as Sample 1. What is the average winning time for men (measured in minutes)? QUESTION4 1 points - What is the average winning time for women (in minutes)? QUESTION 5 1 points - What is the average difference in winning times (in minutes)? QUESTION 6 1 points - What is the value Of the test statistic? QUESTION 7 1 points Save Answer Based on the p-value in the output, what is your conclusion? Fleject the null hypothesis Do not reject the null hypothesis Accept the null hypothesis QUESTION 8 1 points Save Answer Using StatCrunch, the 95% confidence interval for the difference in winning times is (-17.696883,-16.092591). True \" False QUESTION 9 1 points Save Answer Based on the 95% confidence interval, 17 minutes is a reasonable value for the difference in winning times for men and women. True \" False QUESTION 10 1 points Save Answer It is possible to make a Type II error here. \" True T", False \fNY_Marathon.txt StatCrunch Applets Edit Data Stat Graph Help Row Year Men Women var4 var5 var6 22 1999 129.2 145.1 23 2000 130.2 145.8 24 2001 127.7 144.4 25 2002 128.1 145.9 26 2003 130.5 142.5 27 2004 129.5 143.2 28 2005 129.5 144.7 29 2006 130 145.1 30 2007 129.1 143.2 31 2008 128.7 143.9 32 2009 129.3 148.9 33 2010 128.3 148.3 34 2011 125.1 143.3 35 2012 36 2013 128.4 140.1 37 2014 120.9 145.1 38 2015 130.6 144.4 39 2016 127.9 144.4 40 41