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nevsk [136]
3 years ago
15

Marvin says that all rhombuses are squares. Aretha says that all squares are rhombuses. who is correct?

Mathematics
1 answer:
yaroslaw [1]3 years ago
8 0
To be a rhombus the quadrilateral must have all equal sides.
To be a square it must have all equal sides AND angles.

Squares are rhombi, but rhombi are not squares. Thus, <u />Aretha is correct.
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Suppose that you are given a decision situation with three possible states of nature: S1, S2, and S3. The prior probabilities ar
seropon [69]
The answer would be 1.0067
6 0
3 years ago
Find an explicit rule for the nth term of the sequence.
taurus [48]

Answer: -4 . 2ⁿ⁻¹

Step-by-step explanation: This is a geometric progression

the nth term is given by arⁿ⁻¹

a = the first term of the sequence

r = common ratio

n=  number of terms

for this sequence

a = -4

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nth term, an = -4 . 2ⁿ⁻¹

3 0
3 years ago
Julie wants to purchase a new home in six years. She thinks that she can purchase a nice home in a good neighborhood for $60,000
MrMuchimi

Answer:

$208.33

Step-by-step explanation:

Julie has to make the down payment which is 25% of $60000 after saving for 6 years.

Therefore, Julie has to save a total of 60000 \times \frac{25}{100} = 15000 dollars.

And Julie has to save it for the duration of 6 years i.e. (6 × 12) = 72 months.

Hence, Julie has to save \frac{15000}{72} = 208.33 dollars every month to make the down payment after 6 years. (Answer)

7 0
3 years ago
The number of accidents per week at a hazardous intersection varies with mean 2.2 and standard deviation 1.1. This distribution
cluponka [151]

Answer:

Step-by-step explanation:

Hello!

The definition of the Central Limi Theorem states that:

Be a population with probability function f(X;μ,δ²) from which a random sample of size n is selected. Then the distribution of the sample mean tends to the normal distribution with mean μ and variance δ²/n when the sample size tends to infinity.

As a rule, a sample of size greater than or equal to 30 is considered sufficient to apply the theorem and use the approximation.

X[bar]≈N(μ;σ²/n)

If the variable of interest is X: the number of accidents per week at a hazardous intersection.

There is no information about the distribution of this variable, but a sample of n= 52 weeks was taken, and since the sample is large enough you can approximate the distribution of the sample mean to normal. With population mean μ= 2.2 and standard deviation σ/√n= 1.1/√52= 0.15

I hope it helps!

5 0
2 years ago
See question above ^^​
denpristay [2]
I think the answer is (4) because if you rotate AEC to the left (counterclockwise) and follow by the scale factor of 2 so, CE = 4x2 = 8 and CA = 3x2 = 6. Hope this help :))
7 0
3 years ago
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