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ollegr [7]
3 years ago
13

What is the probability of rolling a number less than 4 on a number cube labeled 1 through 6?

Mathematics
1 answer:
cluponka [151]3 years ago
3 0

Answer:

The answer is B. 1/3

Step-by-step explanation:

Hope this helps! :)

-------------------------------------

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A student factors 3x2 – 12 to the following.
Nesterboy [21]

Answer:  The Expression is Equivalent, However, NOT completely factored.

Step-by-step explanation:

3x^2     -     12  

Following:

3 ( x^2    -    4   )

Factor:

3x^2   -  12

Factor Out Common Term 3:

3 ( x^2    -  4  )  =  3 (x^2  -  4 )

Factor:

x^2  -  4

( x  +   2 )  ( x   -  2 )

Answer:

3 ( x  +  2) ( x  -  2)

Hence, The Expression is Equivalent, However,  Wasn't Completely Factored.

Hope that helps!

8 0
3 years ago
Read 2 more answers
I need help ill do anything
alexgriva [62]

Answer:

A n y t h i n g  y o u  s a y ?

The answer is J. 42

Could I be Brainliest pls...?

Even if I'm not Brainliest, have a lovely day! <3

5 0
3 years ago
a box of cereal weighs 550 g. There is enough cereal for 10 servings. How many grams of cereal are there per serving?
prisoha [69]

Answer:

55 grams per serving

Step-by-step explanation:

To find the number of grams per serving, we take to total grams and divide by the number of servings. The total grams is 550 and the number of servings is 10

grams per servings = 550/10 = 55 grams per serving


7 0
3 years ago
What is the Y intercept pls help
Ad libitum [116K]

Answer:

y- intercept = 1

Step-by-step explanation:

The y- intercept is the point on the y- axis where the graph crosses.

This occurs when the x- coordinate is 0

From the table the point (0, 1 ) is where the graph crosses the y- axis

Then y- intercept = 1

5 0
3 years ago
Which of the following conditions must be met in order to make a statistical inference about a population based on a sample
klasskru [66]

Answer:

For this case if we want to conclude that  the sample does not come from a normally distributed population we need to satisfy the condition that the sample size would be large enough in order to use the central limit theoream and approximate the sample mean with the following distribution:

\bar X \sim (\mu, \frac{\sigma}{\sqrt{n}})

For this case the condition required in order to consider a sample size large is that n>30, then the best solution would be:

n>= 30

Step-by-step explanation:

For this case if we want to conclude that  the sample does not come from a normally distributed population we need to satisfy the condition that the sample size would be large enough in order to use the central limit theoream and approximate the sample mean with the following distribution:

\bar X \sim (\mu, \frac{\sigma}{\sqrt{n}})

For this case the condition required in order to consider a sample size large is that n>30, then the best solution would be:

n>= 30

7 0
3 years ago
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