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GarryVolchara [31]
4 years ago
10

What is the sum of the arithmetic sequence 3, 9, 15..., if there are 34 terms?

Mathematics
2 answers:
gladu [14]4 years ago
8 0
I believe its 3,468.
Naily [24]4 years ago
3 0
Notice that the difference between 2 consecutive terms is 6,

Let a_n mean the n'th term of the sequence, so:

a_1=3,
a_2=a_1+6=3+6=9,  
a_3=a_2+6=9+6=15

The sequence is "arithmetic" means that every term, is its previous term + 6, the common difference.

So the sequence is 3, 9, 15, 21, 27, ....

write again each term of the sequence to see how we get it, so that we are able to figure out a general formula:

a_1=3

a_2=3+6

a_3=[3+6]+6

a_4=[3+6+6]+6


a_5=[3+6+6+6]+6
.
.
so we notice that to find the 6.th term we need to add 5 sixes to 3.
                            to find the 7.th term we add 6 sixes to 3, 

In general, to find the n.th term, we add (n-1) sixes to 3
 
Thus, the general formula is  a_n=3+6(n-1), 


The sum of the first 34 terms of the sequence is 

a_1+a_2+a_3+ ..... + a_3_3+a_3_4=

3 + (3+6*1)+(3+6*2)+(3+6*3)+...+(3+6*33)=

3*34+(6*1+6*2+...6*33)=102+6(1+2+3+4+...+33)


the sum of the first A consecutive numbers 1+2+3+4+...+A is equal to :

A(A+1)/2 ,  according to the famous Gauss formula, 

so 1+2+3+...+33= 33(33+1)/2=(33*34)/2=17*33=561


Thus, 102+6(1+2+3+4+...+33)= 102+6*561=102+ 3366=3,468


Answer:  D)  3,468 



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KatRina [158]

Answer:

a. 0.0582 = 5.82% probability that the heart rate is less than 25 beats per minute.

b. 0.1762 = 17.62% probability that the heart rate is greater than 60 beats per minute.

c. 0.7656 = 76.56% probability that the heart rate is between 25 and 60 beats per minute

Step-by-step explanation:

Empirical Rule:

The Empirical Rule states that, for a normally distributed random variable:

Approximately 68% of the measures are within 1 standard deviation of the mean.

Approximately 95% of the measures are within 2 standard deviations of the mean.

Approximately 99.7% of the measures are within 3 standard deviations of the mean.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

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:

\mu = 47

(95% of data) range from 19 to 75 beats per minute.

This means that between 19 and 75, by the Empirical Rule, there are 4 standard deviations. So

4\sigma = 75 - 19

4\sigma = 56

\sigma = \frac{56}{4} = 14

a. What is the probability that the heart rate is less than 25 beats per minute?

This is the p-value of Z when X = 25. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{25 - 47}{14}

Z = -1.57

Z = -1.57 has a p-value of 0.0582.

0.0582 = 5.82% probability that the heart rate is less than 25 beats per minute.

b. What is the probability that the heart rate is greater than 60 beats per minute?

This is 1 subtracted by the p-value of Z when X = 60. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{60 - 47}{14}

Z = 0.93

Z = 0.93 has a p-value of 0.8238.

1 - 0.8238 = 0.1762

0.1762 = 17.62% probability that the heart rate is greater than 60 beats per minute.

c. What is the probability that the heart rate is between 25 and 60 beats per minute?

This is the p-value of Z when X = 60 subtracted by the p-value of Z when X = 25. From the previous two items, we have these two p-values. So

0.8238 - 0.0582 = 0.7656

0.7656 = 76.56% probability that the heart rate is between 25 and 60 beats per minute

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Answer:

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Step-by-step explanation

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Step-by-step explanation:

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