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Katarina [22]
3 years ago
13

11089 divided by 13​

Mathematics
2 answers:
Natasha2012 [34]3 years ago
4 0

Answer:

853

Step-by-step explanation:

mixer [17]3 years ago
3 0

Answer:

853

Step-by-step explanation:

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arron takes his dog for a walk afer school, he walks 5 blocks east and then 4 blocks north. if he was able to take a direct rout
nlexa [21]

Hi!

We are given the information found in the picture below.

Note: The directions aren't correct, but the triangle works for this problem.

The "direct path" is the hypotenuse of this triangle.

To find this, we use the Pythagorean Theorem, where a and b are 2 legs of the triangle, and c is the hypotenuse, aka the longest side of any triangle:

a^2+b^2=c^2

We know a and b and want c

4^2+5^2=c^2

16+25=c^2

41=c^2

Therefore, c is approximately 6.403

3 0
2 years ago
The bottom of a ladder must be placed 4 feet from the base of a pole barn. The ladder is 14 feet long. How far above the ground
marusya05 [52]

Check the picture below.

3 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
Help I dont really understand ​
Juliette [100K]

Answer:

I think it would be either choice A or B

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
Question 13 letter A and B
dybincka [34]
A) 2.50/5= 0.5,
B) 0.5*25=$12.50
6 0
3 years ago
Read 2 more answers
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