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Elden [556K]
2 years ago
5

What are all the expressions that are exquivalent to 5x(x+6)+3x

Mathematics
1 answer:
aliina [53]2 years ago
5 0
Here is one equivalent expression 9x+6. Tell me if you need more

BRAINLIEST please
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Grade 10 math help please show work (30 points) I will mark brainlist too
dybincka [34]

Answer:

5) ∅ =3.94°

6) ∅ = 22.19°

Step-by-step explanation:

5) tan ∅ = 3.9/56.67

tan ∅ = 0.0688

∅ =3.94°

6) cos ∅ = 250/270         (500/2 = 250)

cos ∅ = 0.9259

∅ = 22.19°

4 0
3 years ago
Suppose you tossed three coins for 16 trials. How many times would you expect
horsena [70]
At least 1/16 times
7 0
3 years ago
12 times the square root of 2 equals ?
Nitella [24]
\sqrt{2}≈1.41
12 x 1.41=<span>16.92</span>
6 0
3 years ago
Read 2 more answers
a stack of cards is placed next to a ruler, and the height of stack measured to be 3/4inches. how thick is one card
4vir4ik [10]

Total thickness of the stack of cards = 3/4 inch or 0.75 inch

In a full stack of cards, there are 52 cards.

Hence, the thickness of 52 cards = 0.75 inch.

To find the thickness of one card, we divide the total thickness with the total number of cards.

Thickness of one card = \frac{0.75}{52} = 0.014423 inch

1 inch = 2.54 cm

0.014423 inch is approximately equal to 0.34 cm.

Answer = 0.34 cm

7 0
3 years ago
Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 141 millimeters,
tiny-mole [99]

Answer:

Probability that the sample mean would be greater than 141.4 millimetres is 0.3594.

Step-by-step explanation:

We are given that Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 141 millimetres, and a standard deviation of 7.

A random sample of 39 steel bolts is selected.

Let \bar X = <u><em>sample mean diameter</em></u>

The z score probability distribution for sample mean is given by;

                            Z  =  \frac{ \bar X-\mu}{\frac{\sigma}{\sqrt{n} }  } }  ~ N(0,1)

where, \mu = population mean diameter = 141 millimetres

           \sigma = standard deviation = 7 millimetres

           n = sample of steel bolts = 39

Now, Percentage the sample mean would be greater than 141.4 millimetres is given by = P(\bar X > 141.4 millimetres)

      P(\bar X > 141.4) = P( \frac{ \bar X-\mu}{\frac{\sigma}{\sqrt{n} }  } } > \frac{141.4-141}{\frac{7}{\sqrt{39} }  } } ) = P(Z > 0.36) = 1 - P(Z \leq 0.36)

                                                            = 1 - 0.6406 = <u>0.3594</u>

The above probability is calculated by looking at the value of x = 0.36 in the z table which has an area of 0.6406.

8 0
3 years ago
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