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Sunny_sXe [5.5K]
3 years ago
15

Calculate the size of angle x. the sides are 8cm, 11cm and 15cm

Mathematics
2 answers:
klio [65]3 years ago
8 0

Answer: 19.93

Step-by-step explanation:

LiRa [457]3 years ago
7 0
The answer is 19.93 hope this helps you
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Select the correct answer.
aleksklad [387]
We want 10% = 0.1 = $10
Then to work out 100% we divide $10 by 0.1
$10/0.1 = $100
6 0
4 years ago
BRAINLEST AND POINTS IF CORRECT
Natasha2012 [34]

Answer:

a. −1973700x

b. 0.12

c. 1344

d. − 36.2

Step-by-step explanation:

6 0
2 years ago
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Y = x - 2<br> y = 3x + 4
faust18 [17]

Answer:

How does it need solved? By graphing? Substitution?

Step-by-step explanation:

8 0
3 years ago
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According to Scarborough Research, more than 85% of working adults commute by car. Of all U.S. cities, Washington, D.C., and New
tamaranim1 [39]

Answer:

The 99% confidence interval for the mean commute time of all commuters in Washington D.C. area is (22.35, 33.59).

Step-by-step explanation:

The (1 - <em>α</em>) % confidence interval for population mean (<em>μ</em>) is:

CI=\bar x\pm z_{\alpha /2}\frac{\sigma}{\sqrt{n}}

Here the population standard deviation (σ) is not provided. So the confidence interval would be computed using the <em>t</em>-distribution.

The (1 - <em>α</em>) % confidence interval for population mean (<em>μ</em>) using the <em>t</em>-distribution is:

CI=\bar x\pm t_{\alpha /2,(n-1)}\frac{s}{\sqrt{n}}

Given:

\bar x=27.97\\s=10.04\\n=25\\t_{\alpha /2, (n-1)}=t_{0.01/2, (25-1)}=t_{0.005, 24}=2.797

*Use the <em>t</em>-table for the critical value.

Compute the 99% confidence interval as follows:

CI=27.97\pm 2.797\times\frac{10.04}{\sqrt{25}}\\=27.97\pm5.616\\=(22.354, 33.586)\\\approx(22.35, 33.59)

Thus, the 99% confidence interval for the mean commute time of all commuters in Washington D.C. area is (22.35, 33.59).

8 0
3 years ago
This scatter plot and line of best fit show the relationship between the height and the mass of 15 different dog breeds. The cir
denis-greek [22]

Answer:

The mass of the Afghan Hound is exactly what is predicted by the line of best fit.

6 0
3 years ago
Read 2 more answers
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