Variant group

2.5^{th}percentile^{b}

97.5^{th}percentile^{c}

Interquartile range (IQR) (75%25%)^{d}

Number of outliers (>±1.5xIQR)

Shapiro Wilk test of normality (p)^{e}

Melting point interval without overlaps


      
Confidence (%)


LR3.HRM4
        
Group I

83.22

84.08

0.43

0.00

0.103^{e}

83.20

83.70

67.74

Group II

83.22

84.18

0.45

0.00

0.000

83.15

84.56

100

Group III

84.91

85.65

0.13

6.00

0.000

84.57

85.64

95.89

Group VI

85.35

86.28

0.15

12.00

0.000

85.65

86.37

92.96

LR3.HRM6
        
Group I

84.79

85.39

0.09

7.00

0.002

84.78

85.69

100

Group II

86.01

86.78

0.42

0.00

0.000

85.70

86.90

100

 ^{a}The data generated for each variant group was tested for normality in order to calculate the largest interval with the highest confidence without overlaps between variant groups. These intervals are indicated in bold. Intervals where all data points (100% confidence) fell within the maximum range, the limits were adjusted to the 2.5^{th} to 97.5^{th} percentile to incorporate a margin of error to ensure accurate classification.
 ^{b}2.5^{th} percentile is the melting point temperature where 2.5% of data points is less than or equal to that temperature.
 ^{c}97.5^{th} percentile is the melting point temperature where 2.5% of data points is greater than or equal to that temperature.
 ^{d}Interquartile range is the interval where the middle 50% of melting point temperatures can be expected.
 ^{e}Assume a normal distribution if p > 0.05, meaning approximately 95% of melting point temperatures of the variant group will be within ±1.96 standard deviations of the mean.