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Dmitriy789 [7]
2 years ago
10

Is the discriminant of g positive, zero, or negative?

Mathematics
1 answer:
expeople1 [14]2 years ago
6 0
Hey, I’m sorry :( uffffffffffff
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If a coin has been altered so that the probability of heads coming up is 3/10, then the probability of tails coming up is also 3
Vadim26 [7]
False. Since the probability of one side of the coin is 3/10, the other must be 7/10.
6 0
3 years ago
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when each side of an inequality is multiplied or divided by a negative number the original inequality sign stays the same true o
Sophie [7]

Answer: FALSE

When you multiply an inequality by a negative number the inequality flips.

5 0
3 years ago
What is the solution to the equation -2(1+5a)=-6(a+3) ?
Lilit [14]


The solution is a=4

-2(1+5a)=-6(a+3)

-2-10a=-6a-18

+18              +18

16-10a=-6a

     +10a      +10a

16=4a

divide by 4

4=a


7 0
3 years ago
Please Help me with this
Elden [556K]
1) he is not reasonable because pounds per feet would mean you would do 7.3/14.6 which is a decimal

hope this helped :)
7 0
3 years ago
If the level of significance of a hypothesis test is raised from 0.005 to 0.2, the probability of a type ii error will:_________
LiRa [457]

The probability of type II error will decrease if the level of significance of a hypothesis test is raised from 0.005 to 0.2.

<h3 /><h3>What is a type II error?</h3>

A type II error occurs when a false null hypothesis is not rejected or a true alternative hypothesis is mistakenly rejected.

It is denoted by 'β'. The power of the hypothesis is given by '1 - β'.

<h3>How the type II error is related to the significance level?</h3>

The relation between type II error and the significance level(α):

  • The higher values of significance level make it easier to reject the null hypothesis. So, the probability of type II error decreases.
  • The lower values of significance level make it fail to reject a false null hypothesis. So, the probability of type II error increases.
  • Thus, if the significance level increases, the type II error decreases and vice-versa.

From this, it is known that when the significance level of the given hypothesis test is raised from 0.005 to 0.2, the probability of type II error will decrease.

Learn more about type II error of a hypothesis test here:

brainly.com/question/15221256

#SPJ4

7 0
2 years ago
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