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dlinn [17]
3 years ago
10

Which og the following represents an equation? a. 3x+13-5 b. 3+11=14 c. x+14 d. x/5-2

Mathematics
1 answer:
jekas [21]3 years ago
3 0
B. 3+11=14 because it has an equal sign.
equation has the word equal so evrething with an equal sign is an equation
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A tunnel is in the shape of a parabola. The maximum height is 31 m and it is 13 m wide at the base as shown below.
yan [13]
Using the given values from the problem and the illustration, three points are known which are (0,0), (6.5,-31), (-6.5,-31). The first step in solving this problem is to determine the equation of the parabola.
y = ax²
-31 = a(6.5)²
-31 = 42.25a 
a = -31/42.25 
a = -124/169 

Therefore, the equation of the parabola is y = (-124/169)x². The value 4.5 is then substituted in the equation as x to get the answer which is 16.14 meters.
6 0
3 years ago
A number decreased by 4 equals -12. What is the number? _____
elena55 [62]

x - 4 = -12

I think x = -8 as if you decrease -8 by 4 it will leave us with the answer of -12

x = -8

Hope this helped,

Jon

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3 years ago
Which is the best estimate for the mass of a baseball? A. 25 grams B. 25 kilograms C. 225 kilograms D. 225 grams i need the answ
Paraphin [41]
Im going to say B but im not 100 percent sure
5 0
3 years ago
Read 2 more answers
A random sample is drawn from a population with mean μ = 66 and standard deviation σ = 5.5. use table 1.
creativ13 [48]
<span>A random sample is drawn from a population with mean μ = 66 and standard deviation σ = 5.5. use table 1.
a. is the sampling distribution of the sample mean with n = 16 and n = 36 normally distributed? yes, both the sample means will have a normal distribution. no, both the sample means will not have a normal distribution. no, only the sample mean with n = 16 will have a normal distribution. no, only the sample mean with n = 36 will have a normal distribution.
b. can you use the standard normal distribution to calculate the probability that the sample mean falls between 66 and 68 for both sample sizes? yes, for both the sample sizes, standard normal distribution could be used. no, for both the sample sizes, standard normal distribution could not be used. no, only for the sample size with n = 16, standard normal distribution could be used. no, only for the sample size with n = 36, standard normal distribution could be used.
c. calculate the probability that the sample mean falls between 66 and 68 for n = 36. (round intermediate calculations to 4 decimal places, "z" value to 2 decimal places, and final answer to 4 decimal places.)</span>
7 0
4 years ago
Determine whether the quantitative variable is discrete or continuous. Depth of the ocean floor Is the variable discrete or cont
Vesna [10]

Answer:

B. The variable is continuous because it is not countable.

Correct, from the definition about of continuous data we see that is a random variable is continuous then it can't be countable.

Step-by-step explanation:

Previous concepts

A discrete random variable "has a countable number of possible values" in a domain defined. So then the possible values for these types of random variables are the integers.

A continuous is a random variable "where the data can take infinitely many values" that means that can take values from the rational with decimals. Ans is not countable.

Solution to the problem

Let's analyze one by one the possible options:

A. The variable is discrete because it is countable.

False, the depth of the ocean is a continuous random variable since we can have for exampe a depth of 1200.56 mi and we can't express this as a discrete random variable.

B. The variable is continuous because it is not countable.

Correct, from the definition about of continuous data we see that is a random variable is continuous then it can't be countable.

C. The variable is discrete because it is not countable.

False, the depth of the ocean is a continuous random variable since we can have for exampe a depth of 504.67 Km and we can't express this as a discrete random variable.

D. The variable is continuous because it is countable.

False the variable is continuous but cannot be countable since that's the opposite from the definition of continuous random variable.

6 0
3 years ago
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