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julia-pushkina [17]
3 years ago
10

HELPPP ASAP WILL MARK BRAINLEST!!!!!!

Mathematics
1 answer:
Ulleksa [173]3 years ago
8 0

Answer:Can’t see what the stuff says

Step-by-step explanation:

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I NEED HELP WITH THIS PLEASE AND PLEASE DONT SEND LINKS
TEA [102]

Answer:

The coins probability is 1/2 while the dice probability is 1/6

Step-by-step explanation:

The coin only has 2 sides so you split it into halves

The dice has 6 sides so you split it into sixths

6 0
3 years ago
The graph of the inequality y> |x| - 2 is:
finlep [7]

Answer:

Step-by-step explanation:

B

4 0
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Find the value of x. (geometry)
Nana76 [90]

Answer:

18.02 units

Step-by-step explanation:

4 0
3 years ago
What is the solution to the equation –3.5(x + 12) = –2x + 18?
Andrei [34K]

Answer:

x = -4.36364

General Formulas and Concepts:

<u>Pre-Algebra</u>

Order of Operations: BPEMDAS

  1. Brackets
  2. Parenthesis
  3. Exponents
  4. Multiplication
  5. Division
  6. Addition
  7. Subtraction
  • Left to Right

Equality Properties

Step-by-step explanation:

<u>Step 1: Define Equation</u>

3.5(x + 12) = -2x + 18

<u>Step 2: Solve for </u><em><u>x</u></em>

  1. Distribute 3.5:                    3.5x + 42 = -2x + 18
  2. Add 2x on both sides:       5.5x + 42 = 18
  3. Isolate <em>x</em> term:                    5.5x = -24
  4. Isolate <em>x</em>:                             x = -4.36364
7 0
3 years ago
Read 2 more answers
1. Garbage Production. Based on a sample of 62 households, the mean weight of discarded plastic is 1.93 pounds and the standard
Contact [7]

Answer:

The answer is below

Step-by-step explanation:

Given that:

Mean (μ) = 1.93, standard deviation (σ) = 1.08 pounds, sample (n) = 62.

the mean weight of discarded plastic for all household is given by:

\mu_x=\mu = 1.93\ pounds

The standard deviation of discarded plastic for all household is given by:

\sigma_x=\frac{\sigma}{\sqrt{n} }  =\frac{1.08}{\sqrt{62} }=0.137\ pounds

The confidence (c) = 90% = 0.9

α = 1 - c = 1 - 0.9 = 0.1

α/2= 0.1/2 = 0.05

The z score of 0.05 corresponds to the z score of 0.45 (0.5 - 0.05) which is 1.645. i.e. z_\frac{\alpha}{2}=z_{0.05}=1.645

The margin of error (E) = z_{0.05}\frac{\sigma}{\sqrt{n} }=1.645*\frac{1.03}{\sqrt{62} }=  0.2256

The confidence interval = \mu \pm E=1.93 \pm 0.2256=(1.7044,2.1556)

We are 90% confidence that the value is between 1,7044 and 2.1556

6 0
4 years ago
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