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Hunter-Best [27]
3 years ago
6

Find the sum of 46 + 42 + 38 + ... + (-446) + (-450)46+42+38+...+(−446)+(−450)

Mathematics
2 answers:
JulijaS [17]3 years ago
3 0

sum of sequence Find the sum of 46 + 42 + 38 + ... + (-446) + (-450) is -25,250

<u>Step-by-step explanation:</u>

We need to find sum of sequence  : 46 + 42 + 38 + ... + (-446) + (-450)

Given sequence is an AP with following parameters as :

a=46\\d=42-46=-4

So , Let's calculate how many terms are there as :

⇒ a_n=a +(n-1)d

⇒ -450=46 +(n-1)(-4)

⇒ -496=(n-1)(-4)

⇒ \frac{-496}{-4}=n-1

⇒ 124=n-1

⇒ n=125

Sum of an AP is :

⇒ S_n = \frac{n}{2}(2a+(n-1)d)

⇒ S_1_2_5 = \frac{125}{2}(2(46)+(125-1)(-4))

⇒ S_1_2_5 = \frac{125}{2}(-404)

⇒ S_1_2_5 =-25,250

Therefore , sum of sequence Find the sum of 46 + 42 + 38 + ... + (-446) + (-450) is -25,250

ElenaW [278]3 years ago
3 0

The sum of the given sequence is -25500.

<u>Step-by-step explanation:</u>

The given Arithmetic sequence is 46 + 42 +38... +(-446) +(-450).

  • The first term of the sequence = 46
  • The last term of the sequence = -450
  • The common difference ⇒ 42 - 46 = - 4

<u>To find the number of terms in the sequence :</u>

The formula used is n = (\frac{a_{n}-a_{1}} {d})+1

where,

  • n is the number of terms.
  • a_{n} is the late term which is -450.
  • a_{1} is the first term which is 46.
  • d is the common difference which is 4.  

Therefore, n =(\frac{-450-46}{-4}) +1

⇒ n = (\frac{-496}{-4}) + 1

⇒ n = 124 + 1

⇒ n =125

∴ The number of terms, n = 125.

<u>To find the sum of the arithmetic progression :</u>

The formula used is S = \frac{n}{2}(a_{1} + a_{n} )

where,

  • S is the sum of the sequence.
  • a_{1} is the first term which is 46.
  • a_{n} is the late term which is -450.

Therefore, S = \frac{125}{2}(46+ (-450))

⇒  S = \frac{125}{2}(-404)

⇒ S = 125 \times -202

⇒ S = -25500

∴ The sum of the given sequence is -25500.

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Step-by-step explanation:

Assuming this complete question: "Motorola used the normal distribution to determine the probability of defects and the number  of defects expected in a production process. Assume a production process produces  items with a mean weight of 10 ounces. Calculate the probability of a defect and the expected  number of defects for a 1000-unit production run in the following situation.

Part a

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Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

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And we can use the z score formula given by:

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And if we replace we got:

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