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fgiga [73]
3 years ago
5

PLEASE HELP PICTURE IS SHOWM

Mathematics
2 answers:
AnnyKZ [126]3 years ago
6 0
The answer should be both C and D because they are not the same size, but they are similar, and they are obviously the same shape, triangles.
katrin2010 [14]3 years ago
5 0
Congruent since all angles are equivalent to each other.
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For a science report, Doug is measuring widths of mushrooms with a ruler that divides inches as shown. To determine each width,
Serga [27]
From the 3 options listed, both 5.25 in and 6.5 in could be measures found using a ruler with eighth inches marked, because those decimals can be written in terms of eighth fractions.

5.25 $in $ \rightarrow (5 + 0.25) $in $ \rightarrow (5 +  \frac{2}{8} ) $in$ \\ 
6.5 $in $ \rightarrow (6 + 0.5) $in $ \rightarrow (5 +  \frac{4}{8} ) $in$

The other option, 7.1 in, is not a possibility because 0.1 cannot be written as a fraction of 8 that is marked on the ruler.
7 0
4 years ago
Find the measure of a regular 45 agon
lilavasa [31]

Answer:

172 degrees

Step-by-step explanation:

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3 years ago
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3 years ago
Exercise 10.4.1: Bayes' Theorem - detecting a biased coin. About (a) Sally has two coins. The first coin is a fair coin and the
8_murik_8 [283]

Answer:

0.026

Step-by-step explanation:

Given the result of 10 coin flips :

T,T,H,T,H,T,T,T,H,T

Number of Heads, H = 3

Number of tails, T = 7

Let :

B = biased coin

B' = non-biased coin

E = event

Probability that it is the biased coin:

P(E Given biased coin) / P(E Given biased coin) * P(E Given non-biased coin) * P(non-biased coin)

P(E|B)P(B) / (P(E|B)*P(B) + P(E|B')P(B')

([(0.75^3) * (0.25^7)] * 0.5) /([(0.75^3) * (0.25^7)] * 0.5) + (0.5^10) * 0.5

0.0000128746 / 0.00050115585

= 0.0263671875

7 0
3 years ago
In 1990, 1000 adults were randomly selected and each was asked if they smoked, 300
Oduvanchick [21]

Answer:

 The proportion of smokers was higher in 1990 than in 2000

Step-by-step explanation:

Solution

Recall that,

The total number of sample 1 (n1) = 1000

Total  sample 2 number  (n2) = 2000

The number of favourable events (X1) = 300

The number of favourable events (X2) = 500

so,

p₁ = X₁/n₁ = 300/1000 = 0.3

p₂ = X₂/n₂ =500/2000 =0.25

α = 0.05

We are interested in testing the hypothesis.

The  hypothesis (Null) ....>  H₀ : p₁ = p₂

Alternate hypothesis------ > H₁ : p₁ > p₂

Thus,

P = X₁ + X₂/ n₁ + n₂

P =300 + 500/1000 +2000

P =800/3000

=0.2667

Now,

Z₀ = P₁ - P₂/√ P (1 -P) (1/n₁ + 1/n₂)

Z₀ =  0.3 - 0.25/√0.2667  (1 - 0.2667) (1/1000 + 1/2000)

Z₀ = 0.4999999999999999/√ 0.2667 (0.7333000000000001) (0.001 +0.0005)

Then,

Z₀ = 0.4999999999999999/√0.00029335666500000004

Z₀ = 2.9193

so,

zα/2 = z0.05/2 =z0.025

zα/2 = 1.6448536269514722

Now, we apply the decision rule:

Decision Rule: Reject the null hypothesis if the statistic value test is higher than the critical value 1.6448536269514722

The statistic value, 2.9193 is greater than the critical value 1.6448536269514722,  then we will reject the null hypothesis.

Therefore, the proportion of smokers was higher in 1990 than in 2000

3 0
3 years ago
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