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jolli1 [7]
3 years ago
6

An estimated 3 out of every 25 men are left-handed. What percentage of men are left-handed?

Mathematics
1 answer:
saveliy_v [14]3 years ago
6 0

Answer:

12%

Step-by-step explanation:

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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
Whoever gets first gets brainiest 26 times 98
viva [34]

Answer:

the answer is 2548

7 0
3 years ago
Read 2 more answers
Loni’s credit card statement for April showed a membership fee of $85, a late fee of $45, a finance charge of $7.45, and an over
Jlenok [28]

Answer:

$157.45

Step-by-step explanation:

All the amounts provided in the question are supposed to be added as a fee, so if you add all the numbers you would get $157.45.

4 0
3 years ago
What is 5500 divided by 785
coldgirl [10]
I thinkkkkk ur answer is going to be 98
7 0
2 years ago
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Write an equation in slope-intercept form of a line that passes through (-1,3) and (-4,5)
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\frac{y_2 - y_1}{x_2 - x_1} = \frac{5 - 3}{-4 - (-1)} = \frac{2}{-4 + 1} = \frac{2}{-3} = -\frac{2}{3} \\\\y - y_1 = m(x - x_1) \\y - 3 = -\frac{2}{3}(x - (-1)) \\y - 3 = -\frac{2}{3}(x + 1) \\y - 3 = -\frac{2}{3}(x) - \frac{2}{3}(1) \\y - 3 = -\frac{2}{3}x - \frac{2}{3} \\y = -\frac{2}{3}x + 2\frac{1}{3}
3 0
3 years ago
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