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?
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