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The relationship between smoking habits and academic performance among different age groups in the uk. It provides statistical analysis and visualizations to understand the trends in smoking prevalence among men and women across various age groups. The document also investigates the correlation between the number of hours students spend watching television and their test scores, revealing a negative correlation. This comprehensive analysis offers valuable insights into the complex interplay between lifestyle factors and academic outcomes, which can inform public health policies and educational strategies aimed at promoting student well-being and academic success.
Typology: Exercises
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distribution?
68% of x values lie between -1σ and +1σ of the mean
between 137.5cm and 182.5 cm?
z =
௫ – ఓ
σ
ଵଷ.ହ - ଵ
11
ଵ଼ଶ .ହ - ଵ
11
About 95% of x values lie between - 2σ and +2σ of the mean
distribution(i.e., –3).
z =
௫ – ఓ
σ
௫ – (-ଷ)
1
௫ ା ଷ
1
-2 = x + 3 X = -2 -3 X = -
௫ – (-ଷ)
1
௫ ା ଷ
1
+2 = x + 3 X = 2 -3 X = -
About 95% of x values lie between - 5σ and -1σ of the mean
student who took a test the following Monday.
a.) Display the scatter plot.
b.) Calculate the correlation coefficient r.
Hours, x 0 1 2 3 3 5 5 5 6 7 7 10
Test score, y 96 85 82 74 95 68 76 84 58 65 75 50
b.)
∑௫௬ି (∑௫)(∑௬)
ඥ∑௫
మ
ି
( ∑௫
)
మ
ඥ∑௬
మ
ି
( ∑௬
)
మ
ଵଶ(ଷଶସ)ି (ହସ)(ଽ଼ )
ඥଵଶ(ଷଷଶ)ିହସ
మ
ඥଵଶ(଼ଷ )ି
( ଽ଼
)
మ
0
10
20
30
40
50
60
70
0 5 10 15 20 25 30 35 40
Mid-Interval Age
Number of Smokers - Men
2
0
10
20
30
40
50
60
70
0 5 10 15 20 25 30 35
Mid-Interval Age
Number of Smokers - Women
ଶ
ଶ
ଶ
ଶ
(ହଵଽ.ହ)ି (ଶଷ)(ଵସ)
ඥ(ଵହହହ)ିଶଷ
మ
ඥ(ଷଵସ)ି (ଵସ)
మ