The table shows data on the percentage change in the total mass (in tons) of wildlife in several West African game preserves in the years 1971 to 1999..Percent change in Total Mass19711972197319741975197619771978197919802.92.93.13.1−1.2−1.2−1.1−1.1−3.3−3.3−3.7−3.71.91.9−0.3−0.3−5.9−5.9−7.9−7.91981198219831984198519861987198819891990−5.5−5.5−7.2−7.2−4.1−4.1−8.6−8.6−5.5−5.5−0.7−0.7−5.1−5.1−7.1−7.1−4.2−4.20.90.9199119921993199419951996199719981999 −6.1−6.1−4.1−4.1−4.8−4.8−11.3−11.3−9.3−9.3−10.7−10.7−1.8−1.8−7.4−7.4−22.9−22.9 To access the data, click the link for your preferred software format. Software gives the 95% confidence interval for the mean annual percentage change as −6.66%− to −2.55%.. There are several reasons why we might not trust this interval. Examine the distribution of the data. What feature of the distribution throws doubt on the validity of statistical inference?The sample is too small.The distribution has an outlier.The distribution is skewed.There is a lot of variability in the data.

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Answered: The table shows data on the percentage…

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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The table shows data on the percentage change in the total mass (in tons) of wildlife in several West African game preserves in the years 1971 to 1999..

Percent change in Total Mass

1971	1972	1973	1974	1975	1976	1977	1978	1979	1980
2.92.9	3.13.1	−1.2−1.2	−1.1−1.1	−3.3−3.3	−3.7−3.7	1.91.9	−0.3−0.3	−5.9−5.9	−7.9−7.9
1981	1982	1983	1984	1985	1986	1987	1988	1989	1990
−5.5−5.5	−7.2−7.2	−4.1−4.1	−8.6−8.6	−5.5−5.5	−0.7−0.7	−5.1−5.1	−7.1−7.1	−4.2−4.2	0.90.9
1991	1992	1993	1994	1995	1996	1997	1998	1999
−6.1−6.1	−4.1−4.1	−4.8−4.8	−11.3−11.3	−9.3−9.3	−10.7−10.7	−1.8−1.8	−7.4−7.4	−22.9−22.9

To access the data, click the link for your preferred software format.

Software gives the 95% confidence interval for the mean annual percentage change as −6.66%− to −2.55%.. There are several reasons why we might not trust this interval.

Examine the distribution of the data. What feature of the distribution throws doubt on the validity of statistical inference?

The sample is too small.

The distribution has an outlier.

The distribution is skewed.

There is a lot of variability in the data.

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