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ive a life expectancy of x = 71.5 years with a standard deviation of s, = 6.6 years. A sample of 6 people from la = 74.3 years and su = 9.52 years. Does this provide evidence that people living in rural Idaho communities hav xpectancy than those in more urban communities? Use a 1% level of significance. ) State the null and alternative hypotheses: (Type "mu_r" for the symbol μ,, e.g. mu_r not = mu_u for the me u_r > mu_u for the rural mean is larger, mu_r< mu_u, for the rural mean is smaller.) -0 =

ive a life expectancy of x = 71.5 years with a standard deviation of s, = 6.6 years. A sample of 6 people from la = 74.3 years and su = 9.52 years. Does this provide evidence that people living in rural Idaho communities hav xpectancy than those in more urban communities? Use a 1% level of significance. ) State the null and alternative hypotheses: (Type "mu_r" for the symbol μ,, e.g. mu_r not = mu_u for the me u_r > mu_u for the rural mean is larger, mu_r< mu_u, for the rural mean is smaller.) -0 =

MATLAB: An Introduction with Applications
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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Mike thinks that there is a difference in quality of life between rural and urban living. He collects information from obituaries in 

newspapers from urban and rural towns in Idaho to see if there is a difference in life expectancy. A sample of 16 people from rural towns give a life expectancy of x = 71.5 years with a standard deviation of s, = 6.6 years. A sample of 6 people from larger towns give x₁ = 74.3 years and s₁ = 9.52 years. Does this provide evidence that people living in rural Idaho communities have different life expectancy than those in more urban communities? Use a 1% level of significance. (a) State the null and alternative hypotheses: (Type ‘mu_r" for the symbol μµ₁, e.g. mu_r not = mu_u for the means are not equal, mu_r > mu_u for the rural mean is larger, mu_r< mu_u, for the rural mean is smaller.) Ho = Ha = (b) The degree of freedom is (c) The test statistic is — — — … (d) Based on this data, Mike concludes: ●●▪●▪ ••• ●●● OA. There is not sufficient evidence to show that life expectancies are different for rural and urban communities. OB. The results are significant. The data seems to indicate that people living in rural communities have a different life expectancy than those in urban communities.
Transcribed Image Text:newspapers from urban and rural towns in Idaho to see if there is a difference in life expectancy. A sample of 16 people from rural towns give a life expectancy of x = 71.5 years with a standard deviation of s, = 6.6 years. A sample of 6 people from larger towns give x₁ = 74.3 years and s₁ = 9.52 years. Does this provide evidence that people living in rural Idaho communities have different life expectancy than those in more urban communities? Use a 1% level of significance. (a) State the null and alternative hypotheses: (Type ‘mu_r" for the symbol μµ₁, e.g. mu_r not = mu_u for the means are not equal, mu_r > mu_u for the rural mean is larger, mu_r< mu_u, for the rural mean is smaller.) Ho = Ha = (b) The degree of freedom is (c) The test statistic is — — — … (d) Based on this data, Mike concludes: ●●▪●▪ ••• ●●● OA. There is not sufficient evidence to show that life expectancies are different for rural and urban communities. OB. The results are significant. The data seems to indicate that people living in rural communities have a different life expectancy than those in urban communities.
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