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Viktor [21]
3 years ago
7

HELPPPPPPP I'LL GIVE BRAINLY 3x + 5 ≤ -13

Mathematics
2 answers:
Hitman42 [59]3 years ago
8 0

Answer:

x <-6

Step-by-step explanation:

romanna [79]3 years ago
5 0

Answer:

Step-by-step explanation:

3x + 5 ≤ -13

     -5     -5

              -18

3x ≤ -18

3x divide by 3. Then divide the other side by three

x ≤ -6

im not 100% sure but thats how I would do it.

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Answer:

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Step-by-step explanation:

Step 1: form an equation

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Step 2: isolate the x

126/12 = 8 + x

126/12 - 8 = x

Step 3: solve

10.5 - 8 = x

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7 0
3 years ago
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Answer:

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2 years ago
What is 2 times 5 minus 1
s344n2d4d5 [400]

what is 2 times 5 minus 1?

9

8 0
3 years ago
The sugar content of the syrup in canned peaches is normally distributed. A random sample of n = 10 cans yields a sample standar
Serggg [28]

Answer:

The 95% confidence interval is given by:

3.30<σ<8.76

Step-by-step explanation:

1) Data given and notation

s=4.798 represent the sample standard deviation

\bar x represent the sample mean

n=10 the sample size

Confidence=95% or 0.95

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population mean or variance lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.

The Chi Square distribution is the distribution of the sum of squared standard normal deviates .

2) Calculating the confidence interval

The confidence interval for the population variance is given by the following formula:

\frac{(n-1)s^2}{\chi^2_{\alpha/2}} \leq \sigma^2 \leq \frac{(n-1)s^2}{\chi^2_{1-\alpha/2}}

The next step would be calculate the critical values. First we need to calculate the degrees of freedom given by:

df=n-1=10-1=9

Since the Confidence is 0.95 or 95%, the value of \alpha=0.05 and \alpha/2 =0.025, and we can use excel, a calculator or a tabel to find the critical values.  

The excel commands would be: "=CHISQ.INV(0.025,9)" "=CHISQ.INV(0.975,9)". so for this case the critical values are:

\chi^2_{\alpha/2}=19.022

\chi^2_{1- \alpha/2}=2.700

And replacing into the formula for the interval we got:

\frac{(9)(4.798)^2}{19.022} \leq \sigma \frac{(9)(4.798)^2}{2.700}

10.892 \leq \sigma^2 \leq 76.736

Now we just take square root on both sides of the interval and we got:

3.30 \leq \sigma \leq 8.76

So the best option would be:

3.30<σ<8.76

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