should have the right to marry. (The 2014 data were collected before the 2015 U.S.C2. GSS 2014 and GSS 2018 respondents were asked their opinion on whether homosexuals30measured on a 5-point scale from strongly agree (1) to strongly disagree (5).Supreme Court decision granting same-sex couples the right to marry. Responses wermeasured on a 5-point scale from strongly agree (1) to strong!y aisagiee (2).CumulativePercentageHomosexuals Should HaveRight to Marry (2014)PercentageFrequency32.532.5Strongly agree25157.525.2Agree19567.3Neither agree nor disagree9.67479.2Disagree9211.9100.0Strongly disagree16120.8Total773100.0Homosexuals Should HaveCumulativeRight to Marry (2018)FrequencyPercentagePercentageStrongly agree29339.539.5Agree20027.066.5Neither agree nor disagree709.475.9Disagree679.084.9Strongly disagree11115.099.9Total74199.9a. What is the level of measurement for this variable?b. What is the mode for 2014? For 2018? c. Calculate the median for this variable. In general, how would you characterize thepublic's attitude about same-sex marriage? Is there a difference in attitudes betweenthe 2 years?

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Description: should have the right to marry. (The 2014 data were collected before the 2015 U.S.C2. GSS 2014 and GSS 2018 respondents were asked their opinion on whether homosexuals30measured on a 5-point scale from strongly agree (1) to strongly disagree (5).Sup

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C2. GSS 2014 and GSS 2018 respondents were asked their opinion on whether homosexuals should have the right to marry. (The 2014 data were collected before the 2015 U.S. Supreme Court decision granting same-sex couples the right to marry.) Responses were measured on a 5-point scale from strongly agree (1) to strongly dissagree (5). Cumulative Percentage Homosexuals Should Have Right to Marry (2014) Frequency Percentage Strongly agree 32.5 32.5 251 Agree 25.2 57.5 195 Neither agree nor disagree 67.3 9.6 74 Disagree 11.9 79.2 92 Strongly disagree 20.8 100.0 161 Total 773 100.0 Homosexuals Should Have Cumulative Right t

C2. GSS 2014 and GSS 2018 respondents were asked their opinion on whether homosexuals should have the right to marry. (The 2014 data were collected before the 2015 U.S. Supreme Court decision granting same-sex couples the right to marry.) Responses were measured on a 5-point scale from strongly agree (1) to strongly dissagree (5). Cumulative Percentage Homosexuals Should Have Right to Marry (2014) Frequency Percentage Strongly agree 32.5 32.5 251 Agree 25.2 57.5 195 Neither agree nor disagree 67.3 9.6 74 Disagree 11.9 79.2 92 Strongly disagree 20.8 100.0 161 Total 773 100.0 Homosexuals Should Have Cumulative Right t

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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3. Consumer Reports recently followed up with a survey to its readers asking about political preferences and primary choice of mobile device. There was a total of 11,214 Republican respondents. Of the 9,500 Democrats responding, 470 reported using a device not listed and 292 said they used a Windows phone. The total usage of Android devices recorded totaled 8,926; 3,921 of Android users were Republicans. Interestingly, there were an equal number of Apple and Android users reporting as Republicans. There were 4,528 Democrats using an Apple device. Only 2,672 of those surveyed reported as Independent, 51 said they used a Windows device and 428 said they used an Apple device. There were 3,652 total Windows device users surveyed. Consumer Reports Survey of Political Preference and Preferred Mobile Device Republican Independent Democrat Total Apple Android Windows Other Total Part A: Complete the two-way frequency table above. Part B: What is the joint relative frequency of Independents…
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4. A college student is contemplating a possible career option. One factor that will influence his decision is the amount of money he is likely to make. He decides to look up the average salary of graduates in that profession. Which information would be more useful to him, the mean salary or the median salary? Why?
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