Year Number of Cases
2018 9025
2017 9088
2016 9253
2015 9539
2014 9389
2013 9554
2012 9928
2011 10491
2010 11088
2009 11512
2008 12886
2007 13277
2006 13727
2005 14062
2004 14499
2003 14836
2002 15055
2001 15945
2000 16308
1999 17499
1998 18286
1997 19752
1996 21210
1995 22726
1994 24207
1993 25102
1992 26673
1991 26283
1990 25701
1989 23495
1988 22436
1987 22517
1986 22768
1985 22201
1984 22255
1983 23846
1982 25520
1981 27373
1980 27749
1979 27669
1978 28521
1977 30145
1976 32105
1975 33989
1974 30122
1973 30998
1972 32882
1971 35217
1970 37137
1969 39120
1968 42623
1967 45647
1966 47767
1965 49016
1964 50874
1963 54042
1962 53315
1961 53726
1960 55494
1959 57535
1958 63534
1957 67149
1956 69895
1955 77368
1954 79775
1953 84304
Tuberculosis (TB) is one of the world’s deadliest diseases. One third of the world’s population is infected with TB. In 2013, nine million people around the world became sick with TB disease and there were 1.5 million TB-related deaths worldwide.
The data in the JMP file shows the number of TB incidences in the US that were reported from 1953 to 2018.
Note: we will treat the incidence of TB as if it is a simple random sample and as continuous data (even though it is not necessarily so).
1. Perform a regression analysis of TB incidences in the US vs Year. Paste your graph and results output.
2. Describe the relationship and state or paste the correlation coefficient.
3. What is the slope? Interpret it (what is it exactly telling you?
4. State the test statistic and p-value from your regression analysis. State the null and alternative in words and equation. Based on these results, what do you conclude?
5. Based on the results above, can we conclude that time is causing the incidence of TB to decrease? Why or why not? Explain your thoughts, and what are possible reasons for the decrease in incidence of TB
6. Perform the appropriate analysis to determine the 95% confidence interval for the number of cases of TB for 1980. Paste results.
7. What is this confidence interval telling you?
