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jeka94
3 years ago
15

A wallet containing $40 has three times as many $1 notes as $5. Find the number of each kind. (Pls give answer urgently needed w

ith working)
Mathematics
1 answer:
lisov135 [29]3 years ago
8 0
X=one dollar
y=5 dollar

x=3y
1x+5y=40
3y+5y=40
8y=40
divide 8
y=5
x=3y
x=3(5)
x=15

15 one dollars
5 five dollars
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What is the solution to the inequality 2n+5| > 1?
hodyreva [135]

Answer:

n < - 3 or n > - 2

Step-by-step explanation:

Inequalities of the type | x | > a , have solutions of the form

x < - a or x > a

Then

2n + 5 < - 1 or 2n + 5 > 1

Solve both inequalities

2n + 5 < - 1 ( subtract 5 from both sides )

2n < - 6 ( divide both sides by 2 )

n < - 3

OR

2n + 5 > 1 ( subtract 5 from both sides )

2n > - 4 ( divide both sides by 2 )

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Solution is n < - 3 or n > - 2

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Answer:

Flour, Eggs, Water, Milk, Oil, Butter.

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2 years ago
Leia cuts congruent triangular patches with an area of 45 square centimeters from a rectangular piece of fabric that is 18 centi
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The number of patches that Leia can cut from 32 pieces of the fabric measuring  18 cm by 10 cm will be as follows:
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3 years ago
The effect of a monetary incentive on performance on a cognitive task was investigated. The researcher predicted that greater mo
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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
Point A is located at (0,4) and point B is located at (-2,-3). Find the x value for the point that is 1/4 the distance from poin
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To solve these questions, use this formula: X3= F(X1-X2) Y3= F(Y1-Y2) Where X3 is the X value in the coordinate your solving for, F is the fraction, X1 is the first X and X2 is the second X Plug in your numbers to fit this: X3= 1/4 x (0--2) Y3= 1/4 x (4- -3) By solving you get: (-.5, 1.75)
8 0
3 years ago
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