Use the empirical rule (68-95-99.7) to determine if the following maximum daily rainfall totals could be considered to be normally distributed. (16 points) 1.1, 1.2, 1.5, 1.55, 1.71, 1.75, 1.9, 1.94, 1.99, 2.0, 2.05, 2.08, 2.12, 2.18, 2.2, 2.25, 2.36, 2.5, 2.61, 2.81, 2.88, 2.95, 3.0, 3.03, 3.07, 3.16, 3.25, 3.62.

Step-by-step explanation:

Given that:

The number of observations (n) = 28

The mean is the addition of all the given numbers divided  by the total number of observations = 64.76/28

= 2.31

The standard deviation s = 0.65

At 68%; the empirical rule falls between:

=

= 2.31 ± 0,65

= ( 2.31 - 0.65, 2.31 + 0.65)

= (1.66 , 2.96)

From the parameters given:

4 values are < 1.66 and 6 values are > 2.96

Thus, the percentage covered = (28 - (6+4))/28  × 100

= (28 - 10) / 28 × 100

= (18/28) × 100

= 64.29%

Hence, this satisfies the normal distribution

At 95; the empirical rule falls between:

=

= 2.31 ± 2(0.65)

= 2.31 ± 1.30

= ( 2.31 - 1.30, 2.31 + 1.30)

= (1.01 , 3.61)

From the parameters given:

0 values are < 1.01 and 1 values are >  3.61

Thus, the percentage covered = (28 - (1+0))/28  × 100

= (28 - 1) / 28 × 100

= (27/28) × 100

= 96.43%

Hence, this satisfies the normal distribution

At 99.7; the empirical rule falls between:

=

= 2.31 ± 3(0.65)

= 2.31 ± 1.95

= ( 2.31 - 1.95, 2.31 + 1.95)

= (0.36 , 4.26)

From the parameters given:

0 values are < 0.36 and 0 values are >  4.26

Thus, the percentage covered = (28 - (0+0))/28  × 100

= (28 - 0) / 28 × 100

= (28/28) × 100

=100%

Hence, this satisfies the normal distribution and the maximum daily rainfall totals could be considered to be normally distributed.