2 x 2 x 3 x 3
This is really easy to search up btw
The explicit formula for calculating the sum is

The sum of the nth term of a sequence is expressed as;

a is the first term
d is the common difference
n is the number of terms
For the sequence 0 + 1 + 2 + 3 +...

Similarly for the sequence:
1 + 2+ 3 + 4+...

Taking the product of the sum to get the explicit formula for calculating the sum

Learn more here: brainly.com/question/24547297
Answer:
3/10 or three-tenths
Step-by-step explanation:
Hope this helps=D
The angular measure L is : 47°
<h3>What are angles?</h3>
Angles are formed when two lines meet.
Analysis:
Firstly, we calculate for m using cosine rule.
=
+
-2(510)(820) cos 20
= 260100 + 672400 -83600(0.9396)
= 146618.56
m =
= 382.9cm
using sine rule to find ∠L
382.9/sin20 = 820/sinL
sinL = 820sin20/382.9
sinL = 820(0.342)/382.9
sinL = 0.732
L = sin inverse of 0.732 = 47°
In conclusion, ∠L is 47°
Learn more about sine and cosine rule: brainly.com/question/4372174
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Answer:
0.7823 = 78.23% probability that the response time is between 3 and 9 minutes.
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 z-score 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 p-value, we get the probability that the value of the measure is greater than X.
Mean of 7.2 minutes and a standard deviation of 2.1 minutes.
This means that 
For a randomly received emergency call, find the probability that the response time is between 3 and 9 minutes.
This is the pvalue of Z when X = 9 subtracted by the pvalue of Z when X = 3.
X = 9



has a pvalue of 0.8051
X = 3



has a pvalue of 0.0228
0.8051 - 0.0228 = 0.7823
0.7823 = 78.23% probability that the response time is between 3 and 9 minutes.