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Dimas [21]
2 years ago
10

Thirteen divided by 1,690

Mathematics
1 answer:
enyata [817]2 years ago
7 0

Answer:

130

Step-by-step explanation:

13 goes into 16 how many times - 1

subtract- you get 390

13 goes into 390 how many times?- 30

Your answer - 130

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Question is in the picture please help.
Mademuasel [1]

Answer: a

Step-by-step explanation: its getting rid of water and the original is 40

8 0
2 years ago
Choose the correct conic section to fit the equation.
yanalaym [24]

Answer:

Option A) Circle.

Step-by-step explanation:

We are given the equation:

(x - 3)^2 + (y - 12)^2 = 25

A general equation of the circle is of the form:

(x-h)^2 + (y-k)^2 = r^2

where (h,k) is the center of the circle and r is the radius of circle.

Comparing the two equations, we get,

(h,k) = (3,12)\\r = \sqrt{25} = 5

Thus, the given equation is equation of a circle centered at (3,12) and of radius 5 units.

5 0
3 years ago
The effect of a monetary incentive on performance on a cognitive task was investigated. The researcher predicted that greater mo
riadik2000 [5.3K]

Answer:

1) H_0:\mu_5=\mu_{25}=\mu_{50}

2) H_a:\mu_{50}>\mu_{25}>\mu_{5}

3) A Type I error happens when we reject a null hypothesis that is true. In this case, that would mean that the conclusion is that there is evidence to support the claim that the greater the incentive, the more puzzles are solved, but that in reality there is no significant difference.

4) A Type II error happens when a false null hypothesis is failed to be rejected. In this case, that would mean that there is no enough evidence to support the claim that the greater the incentive, the more puzzles are solved, but in fact this is true.

5) The probability of a Type I error is equal to the significance level, as this is the chance of having a sample result that will make the null hypothesis be rejected.

Step-by-step explanation:

As the claim is that the greater the incentive, the more puzzles were solved, the null hypothesis will state that this claim is not true. That is that there is no significant relation between the incentive and the amount of puzzles that are solved. In other words, the mean amount of puzzles solved for the different incentives is equal (or not significantly different):

H_0:\mu_5=\mu_{25}=\mu_{50}

The research (or alternative hypothesis) is that the greater the incentive, the more puzzles were solved. That means that the mean puzzles solved for an incentive of 50 cents is significantly higher than the mean mean puzzles solved for an incentive of 25 cents and this is significantly higher than the mean puzzles solved for an incentive of 5 cents.

H_a:\mu_{50}>\mu_{25}>\mu_{5}

A Type I error happens when we reject a null hypothesis that is true. In this case, that would mean that the conclusion is that there is evidence to support the claim that the greater the incentive, the more puzzles are solved, but that in reality there is no significant difference.

A Type II error happens when a false null hypothesis is failed to be rejected. In this case, that would mean that there is no enough evidence to support the claim that the greater the incentive, the more puzzles are solved, but in fact this is true.

The probability of a Type I error is equal to the significance level, as this is the chance of having a sample result that will make the null hypothesis be rejected.

4 0
3 years ago
I WILL GIVE YOU BRAINLIEST PLEASE HELPPPPP
Vanyuwa [196]

Answer: 3/2

Step-by-step explanation:

Let's consider the points (6,9) and (4,6).

The difference in the y coordinates is 3, and the diffeence in the x coordinates is 2.

So, the slope is 3/2.

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2 years ago
Pleaseeeee help
s2008m [1.1K]
All I know is that question 1 is B and I think for question 3 is Sammy is correct.
7 0
3 years ago
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