Question

In: Statistics and Probability

Smoking increases the risk of developing more than 50 serious health conditions. Some may be fatal,...

Smoking increases the risk of developing more than 50 serious health conditions. Some may be fatal, and others can cause irreversible long-term health damage.
It is hypothesized that smoking may cause wrinkles around eyes. The smoking behaviour and the information about wrinkles around eyes are recorded and the following frequency table is obtained.

Heavy wrinkles   Moderate wrinkles No wrinkles

Heavy smoker 95 5 50

Light or nonsmoker 103 7 240

Do these data show association between smoking and wrinkles around eyes? Formulate a suitable statistical model and a statistical hypothesis test to analyse these data, and state your conclusion

Solutions

Expert Solution

ANSWER::

Ho: given two variable are independent
H1: Given two variables are not independent

...........

Chi-Square Test of independence
Observed Frequencies
heavy wrinkle moderate wrinkle no wrinkle Total
heavy smoker 95 5 54 154
light smoker 103 7 240 350
Total 198 12 294 504
Expected frequency of a cell = sum of row*sum of column / total sum
Expected Frequencies
heavy wrinkle moderate wrinkle no wrinkle Total
heavy smoker 198*154/504=60.5 12*154/504=3.667 294*154/504=89.833 154
light smoker 198*350/504=137.5 12*350/504=8.333 294*350/504=204.167 350
Total 198 12 294 504
(fo-fe)^2/fe heavy wrinkle moderate wrinkle no wrinkle
heavy smoker 19.674 0.485 14.293
light smoker 8.656 0.213 6.289

................

Chi-Square Test Statistic,χ² = Σ(fo-fe)^2/fe =   49.6107
  
Level of Significance =   0.05
Number of Rows =   2
Number of Columns =   3
Degrees of Freedom=(#row - 1)(#column -1) = (2- 1 ) * ( 3- 1 ) =   2
  
p-Value =   0.0000
Decision:    p-value < α , Reject Ho

...............

so, there is association between smoking and wrinkle around eyes.

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