Question

In: Statistics and Probability

Please Use R studio and show all the steps to answer this question NY Marathon 2013...

Please Use R studio and show all the steps to answer this question

NY Marathon 2013 the table below shows the winning times (in minutes) for men and women in the new york city marathon between 1978 and 2013. (the race was not run in 2012 because of superstorm sandy.) assuming that performances in the big apple resemble performances elsewhere, we can think of these data as a sample of performance in marathon competitions. Create a 90% confidence interval for the mean difference in winning times for male and female marathon competitors.

Year

Men

Women

Year

Men

Women

1978

132.2

152.5

1996

129.9

148.3

1979

131.7

147.6

1997

128.2

148.7

1980

129.7

145.7

1998

128.8

145.3

1981

128.2

145.5

1999

129.2

145.1

1982

129.5

147.2

2000

130.2

145.8

1983

129.0

147.0

2001

127.7

144.4

1984

1985

1986

1987

1988

1989

1990

1991

1992

1993

1994

1995

134.9

131.6

131.1

131.0

128.3

128.0

132.7

129.5

129.5

130.1

131.4

131.1

149.5

148.6

148.1

150.3

148.1

145.5

150.8

147.5

144.7

146.4

147.6

148.1

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

128.1

130.5

129.5

129.5

130.0

129.1

128.7

129.3

128.3

125.1

Cancelled

128.4

145.9

142.5

143.2

144.7

145.1

143.2

143.9

148.9

148.3

143.3

Cancelled

140.1

Solutions

Expert Solution

Result:

Data are paired on year. paired t test command is used to get confidence interval for mean difference.

RStudio code:

men<-c(132.2,131.7,129.7,128.2,129.5,129,134.9,131.6,131.1,131,128.3,128,132.7,129.5,129.5,130.1,131.4,131.1,129.9,128.2,128.8,129.2,130.2,127.7,128.1,130.5,129.5,129.5,130,129.1,128.7,129.3,128.3,125.1,128.4)

women<-c(152.5,147.6,145.7,145.5,147.2,147,149.5,148.6,148.1,150.3,148.1,145.5,150.8,147.5,144.7,146.4,147.6,148.1,148.3,148.7,145.3,145.1,145.8,144.4,145.9,142.5,143.2,144.7,145.1,143.2,143.9,148.9,148.3,143.3,140.1)

t.test(men,women, paired = TRUE,conf.level=0.90)

output:

t.test(men,women, paired = TRUE,conf.level=0.90)

        Paired t-test

data: men and women

t = -46.236, df = 34, p-value < 2.2e-16

alternative hypothesis: true difference in means is not equal to 0

90 percent confidence interval:

-17.39663 -16.16908

sample estimates:

mean of the differences

            -16.78286

90% confidence interval for the mean difference in winning times for male and female marathon competitors= (-17.39663, -16.16908)


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