In: Statistics and Probability
1. Listed below are the temperatures from nine males measured at 8 AM and again at 12 AM.
(a) Construct a scatter plot.
(b) Find the coefficient of correlation and corresponding p value.
(c) Based on the graph, does there appear to be a relationship between 8 AM temperatures and 12 AM temperatures? How significant is this relationship? State the null hypothesis and accept or reject it. Give your reason for the decision.
8 AM | 12 AM |
98.0 |
98.0 |
97.0 | 97.6 |
98.6 | 98.8 |
97.4 | 98.0 |
97.4 | 98.8 |
98.2 | 98.8 |
98.2 | 97.6 |
96.6 | 98.6 |
97.4 | 98.6 |
At least how many values are two standard deviations away from the mean if
(d) the distribution is normal? (e) the distribution is skewed?
a)
b)
x | y | (x-x̅)² | (y-ȳ)² | (x-x̅)(y-ȳ) |
98 | 98 | 0.1264 | 0.0968 | -0.1106 |
97 | 97.6 | 0.4153 | 0.5057 | 0.4583 |
98.6 | 98.8 | 0.9131 | 0.2390 | 0.4672 |
97.4 | 98 | 0.0598 | 0.0968 | 0.0760 |
97.4 | 98.8 | 0.0598 | 0.2390 | -0.1195 |
98.2 | 98.8 | 0.3086 | 0.2390 | 0.2716 |
98.2 | 97.6 | 0.31 | 0.51 | -0.40 |
96.6 | 98.6 | 1.09 | 0.08 | -0.30 |
97.4 | 98.6 | 0.06 | 0.08 | -0.07 |
ΣX | ΣY | Σ(x-x̅)² | Σ(y-ȳ)² | Σ(x-x̅)(y-ȳ) | |
total sum | 878.80 | 884.80 | 3.34 | 2.09 | 0.28 |
mean | 97.64 | 98.31 | SSxx | SSyy | SSxy |
sample size , n = 9
here, x̅ = Σx / n= 97.644 ,
ȳ = Σy/n = 98.311
SSxx = Σ(x-x̅)² = 3.3422
SSxy= Σ(x-x̅)(y-ȳ) = 0.3
correlation coefficient , r = Sxy/√(Sx.Sy)
= 0.1043
Ho: ρ = 0
Ha: ρ ╪ 0
n= 9
alpha,α = 0.05
correlation , r= 0.1043
t-test statistic = r*√(n-2)/√(1-r²) =
0.277
DF=n-2 = 7
p-value = 0.7895
Decison: P value > α, So, Do not reject
Ho
c)
there does not appear to be a relationship between 8 AM temperatures and 12 AM temperatures
relationship is not significant.
because P value =0.7895 > α, So, Do not reject Ho