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4vir4ik [10]
2 years ago
14

What is the only way to increase power of a significance test when lowering the probability of committing a Type I error

Mathematics
1 answer:
Reil [10]2 years ago
5 0

the probability of making a Type I error is equal to the significance level of power. To increase the probability of a Type I error, increase the significance level. Changing the sample size has no effect on the probability of a Type I error.

The electricity of a take a look at can be expanded in a number of methods, for example increasing the pattern length, reducing the standard errors, increasing the difference between the pattern statistic and the hypothesized parameter, or growing the alpha degree.

The chance of creating a kind I mistakes is α, that's the extent of importance you put for your hypothesis check. An α of 0.05 indicates which you are inclined to accept a five% chance which you are incorrect whilst you reject the null hypothesis. To lower this risk, you have to use a decrease cost for α

Learn more about power here: brainly.com/question/1634438

#SPJ4

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Answer:  c. 150g of sugar dissolved in 300ml water

Step-by-step explanation:

The concentration of sugar syrup will decide which syrup is sweetest. Concentration is defined as the amount of solute dissolved per unit volume of solution.

a) 50g of sugar dissolved in 150ml water

Concentration=\frac{50g}{150ml}=0.33g/ml

b) 100g of sugar dissolved in 500ml water

Concentration=\frac{100g}{500ml}=0.2g/ml

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Concentration=\frac{150g}{300ml}=0.5g/ml

d) 250g of sugar dissolved in 1000ml water

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Thus 150 g of sugar dissolved in 300ml water has highest concentration and is sweetest.

6 0
3 years ago
The height H of a skydiver t seconds after jumping. Let T be the independent variable, and assume the skydiver jumps from a heig
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16t^2=10000

t^2=10000/16=625

t=sqrt 625=25 seconds

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