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USPshnik [31]
3 years ago
6

In a study what are participants who receive the treatment called

Mathematics
1 answer:
marshall27 [118]3 years ago
8 0

Answer:

e

Step-by-step explanation:

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Simplify 3(х - 2) + 5x​
IgorLugansk [536]

Answer:

8x-6

Step-by-step explanation:

3(x-2)+5x = 3x - 6 +5

6 0
3 years ago
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Whats the gcf of 48 and 78
Liono4ka [1.6K]
The greatest common factor (GCF) of 48 and 78 is: 6

Factors of 48: 1, 2, 3, 4, 6, 8, 12, 16, 24, 48
Factors of 78: 1, 2, 3, 6, 13, 26, 39

The common factors between the two numbers are 1, 2, 3, and 6, but considering 6 is the highest number out of them, it is the greatest common factor.
5 0
3 years ago
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What are the factors of -12?
Alenkinab [10]

Answer:

− 12  ,  − 6 , − 4 , − 3, −2, −1, 1, 2, 3, 4, 6 , 12

Step-by-step explanation:

-12 * 1 = -12

-6 * 2 = -12

-4 * 3 = -12

-3 * 4 = -12

-2 * 6 = -12

-1 * 12 = -12

1 * -12 = -12

2 * -6 = -12

3 * -4 = -12

4 * -3 = -12

6 * -2 = -12

12 * -1 = -12

8 0
3 years ago
The amount of soda in a 16-ounce can is normally distributed with a mean of 16 ounces and a standard deviation of .5 ounce. What
Firdavs [7]

Answer:

Probability that a randomly selected can will have less than 15.5 ounces is 0.1587.

Step-by-step explanation:

We are given that the amount of soda in a 16-ounce can is normally distributed with a mean of 16 ounces and a standard deviation of 0.5 ounce.

<em>Let X = amount of soda</em>

So, X ~ N(\mu=16,\sigma^{2} =0.5^{2})

The z-score probability distribution for normal distribution is given by;

               Z = \frac{  X -\mu}{\sigma}  ~ N(0,1)

where, \mu = mean amount = 16 ounces

            \sigma = standard deviation = 0.5 ounce

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, the probability that a randomly selected can will have less than 15.5 ounces is given by = P(X < 15.5 ounces)

  P(X < 15.5 ounces) = P( \frac{  X -\mu}{\sigma} < \frac{ 15.5-16}{0.5} ) = P(Z < -1) = 1 - P(Z \leq 1)

                                                                 = 1 - 0.8413 = 0.1587

<em>Now, in the z table the P(Z </em>\leq<em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1 in the z table which has an area of 0.8413.</em>

Hence, the probability that a randomly selected can will have less than 15.5 ounces is 0.1587.

3 0
4 years ago
Can someione help me with atoms?????
vampirchik [111]

Answer: The first one

Explanation: Is that right don't just rely on me haha if I helped u tell me please

6 0
3 years ago
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