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nexus9112 [7]
3 years ago
10

Is 0.23 a rational number? choose the best explanation

Mathematics
2 answers:
Delvig [45]3 years ago
8 0

Answer:

Yes it is a rational number. (There are no explanations)

Step-by-step explanation:

Leto [7]3 years ago
5 0

Answer: rational

Step-by-step explanation: 0.23 is a terminating decimal which means that it ends and it's important to understand that any terminating decimal is classified as a rational number. So 0.23 is rational.

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In quadrilateral PQRS, PQ = QR = RS = SP, PR = 14, and QS = 48. Find the perimeter of PQRS.
avanturin [10]

Answer:

100 units

Step-by-step explanation:

Lengths of diagonals:

PR = 14

QS = 48

Since all 4 sides are equal in length, it's a rhombus

Length of each side:

sqrt[(14/2)² + (48/2)²]

sqrt(625)

25

Perimeter = 4 × 25

= 100

6 0
4 years ago
Read 2 more answers
What is the momentum of a 0.2 kg ball moving with a speed of 5 m/s
Sedbober [7]

Answer:

p = 1 kgm/s

Step-by-step explanation:


3 0
4 years ago
Bob and Sally mortgage payment increases to $1632.00. Their roof starts to leak and they need to replace it. They budget 500$ pe
Vlada [557]

Answer:

...

Step-by-step explanation:

5 0
3 years ago
X^2-x-42<br> what is the fractored forms
igomit [66]
The factored forms of that is (x + 6) (x - 7).

If you have any questions then please leave a comment. Good luck!
5 0
4 years ago
Consider two populations of coins, one of the pennies and one of quarters. A random sample of 25 pennies was selected, and the m
Rudik [331]

Answer:

d. No, the conditions for normality have not been met because the sample size for the pennies is not large enough and no information is given about the distributions of the populations.

Step-by-step explanation:

In this example, we learn that the sample taken of pennies was of 25, while the sample of quarters was of 35. According to the central limit theorem, a sample must be equal to or larger than 30 for the theorem to hold. The theorem states that when random variables are added, they tend towards a normal distribution even if the original variables themselves are not normally distributed. In this question, the sample of pennies is not large enough for the theorem to hold. On top of this, we have no information about the distribution of the populations. Therefore, the conditions for normality have not been met.

6 0
4 years ago
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