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fomenos
3 years ago
9

The interior ages of a triangle have measure

Mathematics
2 answers:
Solnce55 [7]3 years ago
8 0
Answer:
100 degrees just think about how all the angles in a triangle add up to 180 degrees
Nina [5.8K]3 years ago
3 0

Answer:

See below in bold.

Step-by-step explanation:

1. The 3 angles in a triangle add up to 180 degrees.

So x = 180 - (55 + 25)

= 180 - 80

= 100 degrees.

2.  The 4 angles in a quadrilateral add up to 360 degrees,, so

3x + 127 + 54 + 119 = 360

3x + 300 = 360

3x = 360 - 300

3x = 60

x = 20 degrees.

3. Exterior angle

= 94 + 42

= 136 degrees.

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Help me find the X please !! Thank youu
Elenna [48]
We can use the vertical angle theorem which states that any two opposite angles are congruent. So, you can just set the two measures equal to each other and solve for x:
7x-99=2x+1
5x-99=1
5x=100
x =  \frac{100}{5} = 20

So, your answer is 20°.
5 0
3 years ago
PLEASE ANSWER IF YOU KNOW I AM IN A HURRY!!!
NNADVOKAT [17]

Answer:

C. just choose C. if it isn't right just tell me.

4 0
3 years ago
Read 2 more answers
According to the University of Nevada Center for Logistics Management, 6% of all mer-
Fudgin [204]

Answer:

a) The point estimate of the proportion of items returned for the population of

sales transactions at the Houston store = 12/80 = 0.15

b) The 95% confidence interval for the proportion of returns at the Houston store = [0.0718 < p < 0.2282].

c) Yes.

We set an hypothesis and construct a test statistics. The test statistics result gives us:

Z calculated  = 2.2545, and this gives us the p-value = 0.0121. We assumed 95% confident interval. Hence, the level of significance (α) = 5%. Conclusively, since the p-value ==> 0.0121 is less than (α) = 5%, the test is significant. Hence, the proportion of returns at the Houston store is significantly different from the returns  for the nation as a whole.

Step-by-step explanation:

a) Point estimate of the proportion = number of returned items/ total items sold = 12/80 = 0.15.

b) By formula of confident interval:

CI(95%) = p ± Z*\sqrt{\frac{p*(1-p)}{n} }  =  0.15 \pm 1.96 *\sqrt{\frac{0.15*(1-0.15)}{80} },

CI(95%) = [0.0718 < p < 0.2282]

c) The hypothesis:

H_{0}: The proportion of returns at the Houston store is not significantly different from the returns  for the nation as a whole.

H_{a}: The proportion of returns at the Houston store is significantly different from the returns  for the nation as a whole.

The test statistics:

Z = \frac{\hat{p} - p_{0}}{\sqrt{\frac{p*(1-p)}{n} }}, where p_{0} is the proportion of nation returns.

Z calculated  = 2.2545, and this gives us the p-value = 0.0121. We assumed 95% confident interval. Hence, the level of significance (α) = 5%. Conclusively, since the p-value ==> 0.0121 is less than (α) = 5%, the test is significant. Hence, the proportion of returns at the Houston store is significantly different from the returns  for the nation as a whole.

6 0
3 years ago
 What are the numbers from least to greatest 6,0,-9,-4.2
Vadim26 [7]

Answer:

(-9), (-4.2), 0, 6

Step-by-step explanation:

Come on

Negative the highest number is first, then zero, positive lowest number is first

you get the point

4 0
3 years ago
PLS HELP <br> I need to know is this right?
nasty-shy [4]

Answer:

me and my teacher say yes

8 0
3 years ago
Read 2 more answers
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