Using the research scenario and data from Table2 below, conduct appropriate statistical analysis in Jamovi and answer questions 1-5. Research scenario: You hear a lot of talk about increasing global temperature, so you decide to see for yourself if there has been an actual change in recent years. You know that the average land temperature from 1951-1980 was 8.79 degrees Celsius. You find annual average temperature data from 1981-2017 (Table 1) and decide to look at whether there is a difference between the average temperature in the period between 1951-1980 and the average temperature in the period between 1981-2017. Table 2. Average land temperature from 1951-1980 in degrees Celsius. Year Temp Year Temp Year Temp Year Temp 1981 9.301 1991 9.336 2001 9.542 2011 9.65 1982 8.788 1992 8.974 2002 9.695 2012 9.635 1983 9.173 1993 9.008 2003 9.649 2013 9.753 1984 8.824 1994 9.175 2004 9.451 2014 9.714 1985 8.799 1995 9.484 2005 9.829 2015 9.962 1986 8.985 1996 9.168 2006 9.662 2016 10.16 1987 9.141 1997 9.326 2007 9.876 2017 10.049 1988 9.345 1998 9.66 2008 9.581 1989 9.076 1999 9.406 2009 9.657 1990 9.378 2000 9.332 2010 9.828 - i have already established that this is a one-sample means t-test. what are the independent and dependent variables and how are they operationalised?

Using the research scenario and data from Table2 below, conduct appropriate statistical analysis in Jamovi and answer questions 1-5. Research scenario: You hear a lot of talk about increasing global temperature, so you decide to see for yourself if there has been an actual change in recent years. You know that the average land temperature from 1951-1980 was 8.79 degrees Celsius. You find annual average temperature data from 1981-2017 (Table 1) and decide to look at whether there is a difference between the average temperature in the period between 1951-1980 and the average temperature in the period between 1981-2017. Table 2. Average land temperature from 1951-1980 in degrees Celsius. Year Temp Year Temp Year Temp Year Temp 1981 9.301 1991 9.336 2001 9.542 2011 9.65 1982 8.788 1992 8.974 2002 9.695 2012 9.635 1983 9.173 1993 9.008 2003 9.649 2013 9.753 1984 8.824 1994 9.175 2004 9.451 2014 9.714 1985 8.799 1995 9.484 2005 9.829 2015 9.962 1986 8.985 1996 9.168 2006 9.662 2016 10.16 1987 9.141 1997 9.326 2007 9.876 2017 10.049 1988 9.345 1998 9.66 2008 9.581 1989 9.076 1999 9.406 2009 9.657 1990 9.378 2000 9.332 2010 9.828 - i have already established that this is a one-sample means t-test. what are the independent and dependent variables and how are they operationalised?

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 22EQ

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Related questions

Question

Using the research scenario and data from Table2 below, conduct appropriate statistical analysis in Jamovi and answer questions 1-5.

Research scenario: You hear a lot of talk about increasing global temperature, so you decide to see for yourself if there has been an actual change in recent years. You know that the average land temperature from 1951-1980 was 8.79 degrees Celsius. You find annual average temperature data from 1981-2017 (Table 1) and decide to look at whether there is a difference between the average temperature in the period between 1951-1980 and the average temperature in the period between 1981-2017.

Table 2.

Average land temperature from 1951-1980 in degrees Celsius.

Year Temp	Year Temp	Year Temp	Year Temp
1981 9.301	1991 9.336	2001 9.542	2011 9.65
1982 8.788	1992 8.974	2002 9.695	2012 9.635
1983 9.173	1993 9.008	2003 9.649	2013 9.753
1984 8.824	1994 9.175	2004 9.451	2014 9.714
1985 8.799	1995 9.484	2005 9.829	2015 9.962
1986 8.985	1996 9.168	2006 9.662	2016 10.16
1987 9.141	1997 9.326	2007 9.876	2017 10.049
1988 9.345	1998 9.66	2008 9.581
1989 9.076	1999 9.406	2009 9.657
1990 9.378	2000 9.332	2010 9.828