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Kruka [31]
1 year ago
7

Answer please da will help

Mathematics
1 answer:
Mkey [24]1 year ago
8 0

log_10 (600) is between 2 and 3

2,77815

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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
15:40:25 in simplest form
Contact [7]

Answer:

the answer is 3:8:5

Step-by-step explanation:

This is because it says Apple, coconut, and orange, but you put orange, apple, and coconut

3 0
3 years ago
Pablo wrote tour division equations with 6 the quotient what could have been the four division equations that he wrote?
omeli [17]

6 ÷ 1

12 ÷ 2

18 ÷ 3

24 ÷ 4

864 ÷ 144

79.86 ÷ 13.31

6 0
3 years ago
Use the Line Tool to graph the equation. 3x−y=9
Gelneren [198K]

Answer:

Step-by-step explanation:

Solve for

y

y

.

Tap for more steps...

y

=

−

9

+

3

x

y

=

-

9

+

3

x

Rewrite in slope-intercept form.

Tap for more steps...

y

=

3

x

−

9

y

=

3

x

-

9

Use the slope-intercept form to find the slope and y-intercept.

Tap for more steps...

Slope:

3

3

y-intercept:

−

9

-

9

Any line can be graphed using two points. Select two

x

x

values, and plug them into the equation to find the corresponding

y

y

values.

Tap for more steps...

x

y

2

−

3

3

0

x y 2 -3 3 0

Graph the line using the slope and the y-intercept, or the points.

Slope:

3

3

y-intercept:

−

9

-

9

x

y

2

−

3

3

0

x y 2 -3 3 0

image of graph

3 0
3 years ago
The chart below shows the temperatures at noon during a week in January. Which day of the week was the warmest? Day
Igoryamba
Wednesday it’s 5 degrees all the others are lower
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3 years ago
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