Answer:
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Answer:
1 - NORM.DIST(625, 600, 15 ,TRUE)
Step-by-step explanation:
Normal Probability Distribution:
Problems of normal distributions 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.
In Excel:
We use the norm.dist command.
NORM.DIST(x, mean, standard_dev ,cumulative)
x is the tested value, mean and standard_dev are the mean and the standard deviation, while cumulative we use true to find a probability of a value lower than x, so for a value higher than x, we use:
1 - NORM.DIST(x, mean, standard_dev ,TRUE)
Mean of 600 copies and a standard deviation of 15 copies.
mean = 600, standard_dev = 15
You want to find the probability of selling more than 625 newspapers on any given day.
x = 625
What is the Excel Command
1 - NORM.DIST(625, 600, 15 ,TRUE)
Answer:
The scale factor is 0.25
Step-by-step explanation:
we know that
The dilation is a non-rigid transformation that produce similar figures
If two figures are similar, then the ratio of its corresponding sides is proportional and this ratio is called the scale factor
In this problem
ABCD and A'B'C'D' are similar
therefore
Find the scale factor
Looking at the graph
we have
Let
z ---> the scale factor
substitute the values