Answer:
0.7486 = 74.86% observations would be less than 5.79
Step-by-step explanation:
I suppose there was a small typing mistake, so i am going to use the distribution as N (5.43,0.54)
Problems of normally distributed samples can be 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.
The general format of the normal distribution is:
N(mean, standard deviation)
Which means that:

What proportion of observations would be less than 5.79?
This is the pvalue of Z when X = 5.79. So



has a pvalue of 0.7486
0.7486 = 74.86% observations would be less than 5.79
21-3= 18 and 18 divided by 6 equals 3 so v=3
Answer:
Statement D is correct.
Step-by-step explanation:
Solution:
Data Given:
Linear Regression Relationship = Speed = 10.3 + 5.4 (hour)
Linear Regression Relationship = y = mx + c
Here,
m = slope = 5.4
c = 10.3 = y - intercept
The correct Answer is D)
Because:
As, the residual value is positive, it means the typist attained faster speed than the model predicted. As we know, residuals is the result of difference between predicted values of the model and data values. On the contrary, if residual would be negative then we would say that typist speed is slower than the model predicted.
Hence, Statement D is correct.
28.56-24.99= $3.57
Sam payed $3.57 in sales tax.
It is 21 g What are the benefits and what are the drawback to certifying/licensing computer/IT professionals?