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tekilochka [14]
3 years ago
9

Send helpp pleaseeeeee​

Mathematics
1 answer:
liberstina [14]3 years ago
4 0

Answer:

1. VR and TS

2. TS and RS

3. TV and RS

Step-by-step explanation:

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How do you solve this please give steps
balu736 [363]

Answer:

53

Step-by-step explanation:

they are a linear pair so x + 2x + 21 = 180 so you subtract 21 from both sides, combine x and 2x then divide by 3 to get 53

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ki77a [65]

Answer:

For questions 1 the answer is 5.567 x 10^6 and for 2 the answer is 3.67 x 10^9

Step-by-step explanation:

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3 years ago
We roll a pair dice 10,000 times. Estimate the probability that the number of times we get snake eyes (two ones) is between 280
Natali5045456 [20]

Answer:

0.3573 = 35.7%

Step-by-step explanation:

We roll a pair of dice 10,000 times so the mean and standard deviation is,

μ  = 10000/36  =277.7          σ = \sqrt{10000*\frac{35}{36^{2}  } } =16.4

z_{1} = (280 - 277.7)/16.4 = .14

z_{2} = (300 - 277.7)/16.4 = 1.35

Probablity (range)  

0.3573  

Z(low)=0.14        0.555766357

Z(upper)=1.36        0.91304644

6 0
3 years ago
The equation y = 65.18x + 21.43 fits the scatterplot of the values for stock
Artyom0805 [142]

Answer:

Step-by-step explanation:

7 0
3 years ago
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A tire manufacturer is measuring the margin of error in the thickness of their tires to make sure it is within safety limits. Ov
kolezko [41]

Answer:

Z = -1.65

\bar x  \approx 0.44 \ inches

Step-by-step explanation:

The main objective is to compute the data for the Z value and determine the \bar x of the sample distribution

Given that;

the tires' thickness is normally distributed  with a mean μ = 0.45 in

standard deviation σ = 0.05 in

sample size  =  65 tires

Also; we are being told that the  thickness separates the lowest 5% of the means from the highest 95%

∴

P(Z < Z) =0.05

From the Z- table

P(Z < -1.645) = 0.05

Z = -1.65

Similarly;

Let consider \bar x  to be the sample mean;

Then:

mean (\mu_{\bar x}) = \mu = 0.45

standard deviation(\sigma_{\bar x} ) = \dfrac{\sigma}{\sqrt{n}}

=\dfrac{0.05}{\sqrt{65}}

= 0.00620174

By applying the Z-score formula:

x =  μ + ( Z × σ )

\bar x = \mu _{\bar x} +(Z * \sigma _{\bar x})

\bar x = 0.45 + (-1.65 *0.00620174)

\bar x= 0.439767129

\bar x  \approx 0.44 \ inches

4 0
3 years ago
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