r2 = t2 /t2+df= ( 3.569)^2 / ( 3.569)^2+16=0.4432 = 44.32% Present in a bar chart the difference in the mean number of resolved problems reported by the participants under the two experimental conditions: well-lit room and dimly lit room, and place under the chart the following information: (t = , df = , p< ). Add a title to the bar chart. Std Deviation2.182.3pantsLit RoomVell Lit RoomMean11.37.51194556 Ho: u1 - u2 = 0Ha: p1-p2 > 0Null hypothesis: The shade of darkness does not have an impact of dishonestyAlt hypothesis: The shade of darkness does have an impact of dishonestyLevel of Significance, a= 0.01Sample #1Mean of sample 1, xx1= 11.33Standard deviation of sample 1, s1 =2.18Size of sample 1, n1= 9Sample #2Mean of sample 2, x2= 7.56Standard deviation of sample 2, s2 =Size of sample 2, n2= 92.30Difference in sample means =X1-X2 = 11.3300 - 7.6 = 3.77Pooled std dev , Sp= v([[n1 - 1)s1² + (n2 - 1)s2*]/(n1+n2-2)) = 2.2408Std error , SE = Sp*v(1/n1+1/n2) = 1.0563T-statistic = ((x1-x2)-ud)/SE = ( 3.7700 - 0 )/ 1.06 = 3.569Degree of freedom, DF= n1+n2-2 =16p-value =0.001281The p-value

The mean values for the two experimental conditions are;

Answered: Std Deviation 2.18 2.3 pants Lit Room…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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r2 = t2 /t2+df

= ( 3.569)^2 / ( 3.569)^2+16

=0.4432 = 44.32%

Present in a bar chart the difference in the mean number of resolved problems reported by the participants under the two experimental conditions: well-lit room and dimly lit room, and place under the chart the following information: (t = , df = , p< ). Add a title to the bar chart.

Std Deviation
2.18
2.3
pants
Lit Room
Vell Lit Room
Mean
11.3
7.5
1194
556

Ho: u1 - u2 = 0
Ha: p1-p2 > 0
Null hypothesis: The shade of darkness does not have an impact of dishonesty
Alt hypothesis: The shade of darkness does have an impact of dishonesty
Level of Significance, a= 0.01
Sample #1
Mean of sample 1, xx1= 11.33
Standard deviation of sample 1, s1 =
2.18
Size of sample 1, n1= 9
Sample #2
Mean of sample 2, x2= 7.56
Standard deviation of sample 2, s2 =
Size of sample 2, n2= 9
2.30
Difference in sample means =
X1-X2 = 11.3300 - 7.6 = 3.77
Pooled std dev , Sp= v([[n1 - 1)s1² + (n2 - 1)s2*]/(n1+n2-2)) = 2.2408
Std error , SE = Sp*v(1/n1+1/n2) = 1.0563
T-statistic = ((x1-x2)-ud)/SE = ( 3.7700 - 0 )/ 1.06 = 3.569
Degree of freedom, DF= n1+n2-2 =
16
p-value =
0.001281
The p-value <a so you reject the null hypothesis, which is the shade of darkness does not have an
impact of dishonesty

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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