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g100num [7]
4 years ago
6

Help please ASAP I don’t get it

Mathematics
1 answer:
BartSMP [9]4 years ago
7 0
You add each step from +5 to +10 to get 55
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Find the sum of the first terms of the sequence
Free_Kalibri [48]

Answer:

-4+8+-16+32+-64+128 = 84

Step-by-step explanation:

The fifth and sixth terms are -64 and 128

4 0
3 years ago
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Which of the following functions has a rate of change that stays the same?
nata0808 [166]
For polynomials, if we say of "rate of change", we are talking about the slope of the tangent line. That is the value of dy/dx or the differential of y in terms of x. From the given choices, the answer would be the second choice, y = 19x - 10. This is because dy/dx in this item is essentially equal to 19 which is a constant. 
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3 years ago
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What is an equation of the line that passes through the points (3,0) and (6,-1)
aliya0001 [1]

Answer:

Step-by-step explanation:

slope=(-1-0)/(6-3)=-1/3

reqd. eq. of line is

y-0=-1/3(x-3)

3y=-x+3

x+3y=3

7 0
3 years ago
In a regional high school swim meet, women’s times (in seconds) in the 200-yard freestyle ranged from 108.5 to 140.6. Estimate t
avanturin [10]

Answer: Estimated the standard deviation α  = 5.35

Step-by-step explanation:

According to Empirical rule, the largest value is approximately:

ц + 3α

And the smallest value is approximately:

ц + 3α

Based on the given figures in the question, we can say

ц + 3α = 140.6

ц - 3α = 108.5

Now subtracting these two; we have

ц + 3α - ( ц - 3α  ) = 140.6 - 108.5

ц + 3α - ц + 3α = 32.1

6α = 32.1

α = 32.1 / 6

α = 5.35

Estimated the standard deviation α  = 5.35

6 0
4 years ago
A study of the relationship between age and various visual functions (such as acuity and depth perception) reported the followin
maks197457 [2]

Answer:

(a) \sum x_i=56.68 and \sum x_i^2=197.46

(b) The sample variance is s^2=0.530 and the sample standard deviation is s=0.728

Step-by-step explanation:

(a)

The sum of these 17 sample observations is

\sum x_i=2.79\:+2.57+\:2.73\:+3.75\:+2.27+\:2.75+\:4.00+\:4.22+\:3.88+\:4.35+\:3.41+\:4.57+\:2.38+\:3.73\:+2.75+\:3.47+\:3.06\\\\\sum x_i=56.68

and the sum of their squares is

\sum x_i^2=2.79^2\:+2.57^2+\:2.73^2\:+3.75^2\:+2.27^2+\:2.75^2+\:4.00^2+\:4.22^2+\:3.88^2+\:4.35^2+\:3.41^2+\:4.57^2+\:2.38^2+\:3.73^2\:+2.75^2+\:3.47^2+\:3.06^2\\\\\sum x_i^2=197.46

(b)

The sample variance, denoted by s^2, is given by

s^2=\frac{S_{xx}}{n-1}

where S_{xx} =\sum x_i^2-\frac{(\sum x_i)^2}{n}

Applying the above formula we get that

S_{xx}=197.46-\frac{(56.68)^2}{17}\\\\S_{xx} =8.482

s^2=\frac{8.482}{17-1}=0.530

The sample standard deviation, denoted by <em>s</em>, is the (positive) square root of the variance:

s=\sqrt{s^2}

Applying the above formula we get that

s=\sqrt{0.530}=0.728

3 0
3 years ago
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