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777dan777 [17]
3 years ago
15

Given the scatter plot, choose the function that best fits the data.

Mathematics
2 answers:
tino4ka555 [31]3 years ago
8 0

Answer:

A. f(x)=2^{x}

Step-by-step explanation:

I took the test it is right

Elena-2011 [213]3 years ago
3 0

Hey love! <3

Answer:

f(x) = 2^x

Step-by-step explanation:

<em>You can see the scatter plot increase by 2^x just by observations of the graph and statistic residuals (if you calculated them!)</em>

<em />

<em>Hope this brightens up your day/night! ╰(◡‿◡✿╰) Sincerely, Kelsey from Brainly.</em>

<em>~ #LearnWithBrainly ~</em>

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What is 4/7 equivalent to
VashaNatasha [74]
4/7 can be equivalent to 8/14    (Multiplied top and bottom of fraction by 2)

It can also be equivalent to  12/21.  (Multiplied by 3)

16/28.

And so on.


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3 years ago
3. C(-2, -6) - с'(х + 10, y + 4)
Reptile [31]

i dont know it :p

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3 years ago
8x-1=63 what is the answer with math
laila [671]

Answer:

63

Step-by-step explanation:

Basically [x=8] when a letter (x) is directly by a number.

(8 × 8) - 1 = 64 - 1 = 63

8 × ? = (8 × 8) and 8 as in (x) then you can finish the question.

3 0
3 years ago
A maintenance manager must test a new repair method that should increase the expected time between repairs. For each machine use
Murljashka [212]

Answer:

a) The value t=1.73 < 1.833 fall in the acceptance region, so the effect is not significant. The null hypothesis can not be rejected.

The claim that the new method is better doesn't have enough statistical evidence.

b) P-value=0.06

c) 95% CI

-25 \leq\mu_n-\mu_c\leq  189

Step-by-step explanation:

A) We have to test the hypothesis about the difference of the means.

The claim is that the new method gives larger times between repairs.

1) State the null and alternative hypothesis

H_0: \mu_n\leq\mu_c\\\\H_a: \mu_n>\mu_c

The significance level is 0.05.

2) The sample mean and standard deviation of the current method is

M_c=254\\\\ s_c=113

The sample mean and standard deviation of the new method is

M_n=336\\\\ s_n=99

The difference of means is

M_d=M_n-M_c=336-254=82

The standard deviation of the difference of means can be estimated as:

s_d=\sqrt{\frac{s_n^2+s_c^2}{n} }=\sqrt{\frac{99^2+113^2}{10} }=\sqrt{2246}=47.4

3) Then, we can calculate the t-statistic as:

t=\frac{M_d-(\mu_n- \mu_c)}{s_d} =\frac{82-0}{47.4}=1.73

4) For 9 degrees of freedom and a significance level of 0.05, the critical value for t is t=1.833.

5) The value t=1.73 < 1.833 fall in the acceptance region, so the effect is not significant. The null hypothesis can not be rejected.

The claim that the new method is better doesn't have enough statistical evidence.

B) For a df=10-1=9 and t=1.73, the P-value is

P(t_9>1.73)=0.06

C) In this case, for 9 degrees of freedom and 95% CI, the critical value of t is t=2.262.

The CI can be written as:

M_d-t*s_d\leq\mu_n-\mu_c\leqM_d+t*s_d\\\\82-2.262*47.4\leq\mu_n-\mu_c\leq 82+2.262*47.4\\\\82-107\leq\mu_n-\mu_c\leq 82+107\\\\-25 \leq\mu_n-\mu_c\leq  189

7 0
3 years ago
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