Answer: 978 in^2
Explanation:
30 x 24 = 720
12 x 9 = 108
(15 x 20)/2 = 150
150 + 108 + 720 = 978
Answer:
Σxi =56.61
Σxi²=196.23
Step-by-step explanation:
X be the random variable represents area of scleral lamina (mm2) from human optic nerve heads
Σxi can be obtain by adding all x values
Σxi=2.79+2.53+2.78+3.79+2.33+2.72+3.88+4.15+3.79+4.43+3.47+4.47+2.5+3.61+2.77+3.53+3.07=56.61
Σxi =56.61
Σxi² can be obtained by squaring x values and then adding them.
Σxi²=2.79²+2.53²+2.78²+3.79²+2.33²+2.72²+3.88²+4.15²+3.79²+4.43²+3.47²+4.47²+2.5²+3.61²+2.77²+3.53²+3.07²=196.233
Σxi²=196.23
Answer:
C
Step-by-step explanation:
this is the associative property, swapping two numbers in/out of the parenthesis, since its all multiplication it does not make any difference
Answer:
P(X > 0.3) = 0.3897
Step-by-step explanation:
Normal probability distribution:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
Central limit theorem:
The Central Limit Theorem estabilishes that, for a random variable X, with mean
and standard deviation
, the sample means with size n of at least 30 can be approximated to a normal distribution with mean
and standard deviation 
Applying the central limit theorem:

P( > 0.3)
This is 1 subtracted by the pvalue of Z when X = 0.3. So

By the Central Limit Theorem



has a pvalue of 0.6103
1 - 0.6103 = 0.3897
So
P(X > 0.3) = 0.3897