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3 years ago

Solve for x.

Mathematics

1 answer:

xz_007 [3.2K]3 years ago

6 0

Answer:

$\displaystyle -2,66 ≈ x\:or\:0,66 ≈ x$

Step-by-step explanation:

All work is shown above.

I am joyous to assist you anytime.

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The assembly time for a product is uniformly distributed between 6 to 10 minutes. the expected assembly time (in minutes) is

Marta_Voda [28]

The expected assembly time is the middle of the range of the uniform distribution, 8 minutes.

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3 years ago

Factor? for 6xy−3x−8y+4

forsale [732]

6xy -3x -8y +4
3x (2y - 1 ) - 4 (2y -1)
(2y-1) (3x-4)

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3 years ago

Read 2 more answers

What is the approximate volume of the cone? Use 3.14 for π.

yawa3891 [41]

The formula for the volume of a cone is V= πr² (h/3).
V= 3.14 (12²) (8/3)
V= 3.14 (144) (2.6...)
V= 1205.76
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2 years ago

Read 2 more answers

(Multiple choice/ Brainliest will be rewarded)

Bezzdna [24]

Answer:

1. h=1.5d. 2. 30cm in 20 days

Step-by-step explanation:

2. 20×1.5

4 0

2 years ago

Crash testing evaluates the ability of an automobile to withstand a serious accident. A simple random sample of 12 small cars we

morpeh [17]

Answer:

The 95% confidence interval for the difference between proportions is (-0.046, 0.713).

Step-by-step explanation:

We want to calculate the bounds of a 95% confidence interval.

For a 95% CI, the critical value for z is z=1.96.

The sample 1 (small cars), of size n1=12 has a proportion of p1=0.6667.

$p_1=X_1/n_1=8/12=0.6667$

The sample 2, of size n2=15 has a proportion of p2=0.3333.

$p_2=X_2/n_2=5/15=0.3333$

The difference between proportions is (p1-p2)=0.3333.

$p_d=p_1-p_2=0.6667-0.3333=0.3333$

The pooled proportion, needed to calculate the standard error, is:

$p=\dfrac{X_1+X_2}{n_1+n_2}=\dfrac{8+5}{12+15}=\dfrac{13}{27}=0.4815$

The estimated standard error of the difference between means is computed using the formula:

$s_{p1-p2}=\sqrt{\dfrac{p(1-p)}{n_1}+\dfrac{p(1-p)}{n_2}}=\sqrt{\dfrac{0.4815*0.5185}{12}+\dfrac{0.4815*0.5185}{15}}\\\\\\s_{p1-p2}=\sqrt{0.0208+0.0166}=\sqrt{0.0374}=0.1935$

Then, the margin of error is:

$MOE=z \cdot s_{p1-p2}=1.96\cdot 0.1935=0.3793$

Then, the lower and upper bounds of the confidence interval are:

$LL=(p_1-p_2)-z\cdot s_{p1-p2} = 0.3333-0.3793=-0.046\\\\UL=(p_1-p_2)+z\cdot s_{p1-p2}= 0.3333+0.3793=0.713$

The 95% confidence interval for the difference between proportions is (-0.046, 0.713).

8 0

3 years ago