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prisoha [69]
3 years ago
13

Suppose that a sequence is defined as follows. This the 1st four terms of the sequence. ASAP BRANLIEST TY!!​

Mathematics
1 answer:
SashulF [63]3 years ago
5 0

Answer:

- 3, 16, - 22, 54

Step-by-step explanation:

Using the recursive formula with a₁ = - 3, then

a₂ = - 2a₁ + 10 = - 2(- 3) + 10 = 6 + 10 = 16

a₃ = - 2a₂ + 10 = - 2(16) + 10 = - 32 + 10 = - 22

a₄ = - 2a₃ + 10 = - 2(- 22) + 10 = 44 + 10 = 54

Thus

the first 4 terms of the sequence are

- 3, 16, - 22, 54

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Miguel drives 295 miles in 5 hours. How many miles does Miguel drive in 75 points
laila [671]

Answer:

Step-by-step explanation:

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3 0
3 years ago
he life of light bulbs is distributed normally. The variance of the lifetime is 625 and the mean lifetime of a bulb is 540 hours
almond37 [142]

Using the normal distribution, it is found that there is a 0.877 = 87.7% probability of a bulb lasting for at most 569 hours.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

\mu = 540, \sigma = \sqrt{625} = 25

The probability of a bulb lasting for at most 569 hours is the <u>p-value of Z when X = 569</u>, hence:

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

Z = \frac{569 - 540}{25}

Z = 1.16

Z = 1.16 has a p-value of 0.877.

0.877 = 87.7% probability of a bulb lasting for at most 569 hours.

More can be learned about the normal distribution at brainly.com/question/24663213

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8 0
2 years ago
Sisters Amilia and Bianca play games together often. Let A represent the number of games Amilia wins monthly, and let B represen
Harman [31]

Using addition of variables, it is found that the mean of S is of 73 and the standard deviation is of 8.5.

<h3>What happens to the mean and the standard deviation when two variables are added?</h3>
  • The mean is the sum of the means.
  • The standard deviation is the square root of the sum of variances.

In this problem, for variables A and B, we have that:

\mu_A = 35.5, \sigma_A = 5.1

\mu_B = 37.3, \sigma_B = 6.8

Variable S is the sum of A and B, hence:

\mu_S = \mu_A + \mu_B = 35.5 + 37.3 = 73

\sigma_S = \sqrt{\sigma_A^2 + \sigma_B^2} = \sqrt{5.1^2 + 6.8^2} = 8.5

The mean of S is of 73 and the standard deviation is of 8.5.

More can be learned about addition of variables at brainly.com/question/26156502

7 0
2 years ago
Together, teammates Pedro and Ricky got 2685 base hits last season. Pedro had 275 more hits than Ricky. How many hits did each p
Nostrana [21]

Answer:

Pedro has 2685 and Ricky has 2960.

Step-by-step explanation:

It says that pedro got 275 more hits than ricky so that means 2685+275 which is 2960

6 0
3 years ago
The accompanying data on x= head circumference z score (a comparison score with peers of the same age - a positive score suggest
djverab [1.8K]

Answer:

r=0.77, \hat{y}=770.50+39.37x and volume of cerebral brey matter for a child whose head circumference Z score at age 12 months was 1.9 is  \hat {y}=920.10

Step-by-step explanation:

We attached a table below,

(a)  We attached a table below,

Therefore ,

correlation coefficient  r=\frac{\frac{1}{18}(21766.7)-(\frac{27.25}{18} )(\frac{13890}{18} ) }{\sqrt{\frac{1}{18} (59.8435)-(\frac{27.25}{18} )^2}\sqrt{\frac{1}{18}(10767400)-(\frac{13890}{18} )^2 }  }

                                         =\frac{41.04}{53.19}

                                         =0.77

(b)    We calculate the least squares equation.

      b_1=r(\frac{\sigma_y}{\sigma_x} )\\      =(0.77)(\frac{\sqrt{\frac{1}{18} (10767400)-(\frac{13890}{18} )^2} }{\sqrt{\frac{1}{18}(59.8435)-(\frac{27.25}{18} )^2 } } )\\      =0.77(\frac{52.15}{1.02} )\\      =0.77(51.13)\\      =39.37

Now , calculate intercept coefficient.

b_0=\bar{y}-r\bar{x}\\

    =(\frac{\sum{y}}{n} )-0.77(\frac{\sum{x}}{n} )\\=(\frac{13890}{18} )-0.77(\frac{27.25}{18} )\\=771.67-1.17\\=770.50

Therefore, the regression equation is, \hat{y}=770.50+39.37x

(c)    Find the volume of cerebral brey matter for a child whose head circumference Z score at age 12 months was 1.8

\hat{y}=770.50+39.37x

   =770.50+39.37(1.9)\\=770.50+74.80\\=920.10

5 0
3 years ago
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