To access the complete data set, click the link for your preferred software format: Excel Minitab JMP SPSS TI R Mac-TXT PC-TXT CSV Crunchlt! The most important question we ask of the data in the table is this: is the increasing trend visible in the plot of these data statistically significant? If so, changes in the Arctic may already be affecting the earth's climate. Use software to answer this question. What hypotheses do we test to answer this question? Ho : a = 0 versus H, : a > 0 Ho : B = 0 versus H, : B >0 Ho : B = 0 versus H, : 0 4 0 Ho : B = 0 versus H. :B <0 What is the value of t, the test statistic? -1.485 4.03 0.019 0.358 What is the P-value for the test? (Round your answer to 3 decimal places.) P-value = Is there strong evidence of a linear increase of Arctic river discharge? Select the correct description. Yes, because the P-value for the one-sided test Họ : 8 = 0, H, : > 0 is small. Yes, because the slope of the least-squares line is positive. No, because the value of the square of the correlation is relatively small. It is impossible to say because the sample size is too small.

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Author:Amos Gilat
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1955
1656
1975
1928
1995
1842
To access the complete data set, click the link for your preferred software format:
Excel Minitab JMP SPSS TI R Mac-TXT PC-TXT CSV Crunchlt!
The most important question we ask of the data in the table is this: is the increasing trend visible in the plot of these data
statistically significant? If so, changes in the Arctic may already be afecting the earth's climate. Use software to answer this
question.
What hypotheses do we test to answer this question?
Ho : a = 0 versus H, : a > 0
Ho : B = 0 versus H. : B > 0
Ho : 8 = 0 versus H. : B + 0
Họ : B = 0 versus H. : B < 0
What is the value of t, the test statistic?
-1.485
4.03
0.019
0.358
What is the P-value for the test? (Round your answer to 3 decimal places.)
P-value =
Is there strong evidence of a linear increase of Arctic river discharge? Select the correct description.
Yes, because the P-value for the one-sided test Họ : ß = 0, H, : ß > 0 is small.
Yes, because the slope of the least-squares line is positive.
No, because the value of the square of the correlation is relatively small.
It is impossible to say because the sample size is too small.
Transcribed Image Text:1955 1656 1975 1928 1995 1842 To access the complete data set, click the link for your preferred software format: Excel Minitab JMP SPSS TI R Mac-TXT PC-TXT CSV Crunchlt! The most important question we ask of the data in the table is this: is the increasing trend visible in the plot of these data statistically significant? If so, changes in the Arctic may already be afecting the earth's climate. Use software to answer this question. What hypotheses do we test to answer this question? Ho : a = 0 versus H, : a > 0 Ho : B = 0 versus H. : B > 0 Ho : 8 = 0 versus H. : B + 0 Họ : B = 0 versus H. : B < 0 What is the value of t, the test statistic? -1.485 4.03 0.019 0.358 What is the P-value for the test? (Round your answer to 3 decimal places.) P-value = Is there strong evidence of a linear increase of Arctic river discharge? Select the correct description. Yes, because the P-value for the one-sided test Họ : ß = 0, H, : ß > 0 is small. Yes, because the slope of the least-squares line is positive. No, because the value of the square of the correlation is relatively small. It is impossible to say because the sample size is too small.
One effect of global warming is to increase the flow of water into the Arctic Ocean from rivers. Such an increase may have major
effects on the world's climate. Six rivers (Yenisey, Lena, Ob, Pechora, Kolyma, and Severnaya Dvina) drain two-thirds of the
Arctic in Europe and Asia. Several of these are among the largest rivers on earth. The table presents the total discharge (amount
of water flowing from these rivers) each year from 1936–2014. Discharge is measured in cubic kilometers of water.
Arctic river discharge (cubic kilometers), 1936–2014
Year Discharge Year Discharge Year Discharge Year Discharge
1976
1936
1721
1956
1721
1653
1996
1849
1937
1713
1957
1762
1977
1698
|1997 2007
1938
1860
1958
1936
1978
2008
1998
1903
1939
1739
1959
1906
1979
1970
1999
1970
1940
1615
1960
1736
1980
1758
2000
1905
1941
1838
1961
1970
1981
1774
2001
1890
1942
1762
1962
1849
1982
1728
2002
2085
1943
1709
1963
1774
1983
1920
2003
1780
1944
1921
1964
1606
1984
1823
2004
1900
1945
1581
1965
1735
1985
1822
2005
1930
1946
1890
1966
1883
1986
1860
2006
1910
1947
1890
1967
1642
1987
1732
2007
2270
1948
1898
1968
1713
1988
1906
2008
2078
1949
1958
1969
1742
1989
1932
2009
1900
1950
1830
1970
1751
1990
1861
2010
1813
1951
1864
1971
1879
1991
1801
2011
1859
1952
1829
1972
1736
1992
1793
2012
1702
1953
1652
1973
1861
1993
1845
2013
1758
1954
1589
1974
2000
1994
1902
2014
1988
Transcribed Image Text:One effect of global warming is to increase the flow of water into the Arctic Ocean from rivers. Such an increase may have major effects on the world's climate. Six rivers (Yenisey, Lena, Ob, Pechora, Kolyma, and Severnaya Dvina) drain two-thirds of the Arctic in Europe and Asia. Several of these are among the largest rivers on earth. The table presents the total discharge (amount of water flowing from these rivers) each year from 1936–2014. Discharge is measured in cubic kilometers of water. Arctic river discharge (cubic kilometers), 1936–2014 Year Discharge Year Discharge Year Discharge Year Discharge 1976 1936 1721 1956 1721 1653 1996 1849 1937 1713 1957 1762 1977 1698 |1997 2007 1938 1860 1958 1936 1978 2008 1998 1903 1939 1739 1959 1906 1979 1970 1999 1970 1940 1615 1960 1736 1980 1758 2000 1905 1941 1838 1961 1970 1981 1774 2001 1890 1942 1762 1962 1849 1982 1728 2002 2085 1943 1709 1963 1774 1983 1920 2003 1780 1944 1921 1964 1606 1984 1823 2004 1900 1945 1581 1965 1735 1985 1822 2005 1930 1946 1890 1966 1883 1986 1860 2006 1910 1947 1890 1967 1642 1987 1732 2007 2270 1948 1898 1968 1713 1988 1906 2008 2078 1949 1958 1969 1742 1989 1932 2009 1900 1950 1830 1970 1751 1990 1861 2010 1813 1951 1864 1971 1879 1991 1801 2011 1859 1952 1829 1972 1736 1992 1793 2012 1702 1953 1652 1973 1861 1993 1845 2013 1758 1954 1589 1974 2000 1994 1902 2014 1988
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