To study the effect of temperature on yeild in a chemical process, five batches were produced at each of three temperature levels. The results follow.B. Use a 0.5 level of significance to test whether the temperature level has an wffect on the mean yield of the proceaa. Calculate the value of the test statistic (to 2 decimal)Thank you DTAPentdy the effect of temperature on yield in a chemical process, five batches were produced at each of three temperatiure levels. The ress60°C50°C70°C342629313024333136223339342632ananalysis of variance table (to 2 decimals but p-value to 4 decimals, if necessary).p-valueVariation Sum of Squares Degrees of Freedom Mean Square0.24N. perature on yield in a chemical process, five batches were produced at each of three temperatureTemperature70°C50°C60°C2634293130243336332239342632of yariance table (to 2 decimals but p-value to 4 decimals, if necessary).p-valueMean SquareDegrees of Freedomn of Squares

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To study the effect of temperature on yeild in a chemical process, five batches were produced at each of three temperature levels. The results follow.

B. Use a 0.5 level of significance to test whether the temperature level has an wffect on the mean yield of the proceaa. Calculate the value of the test statistic (to 2 decimal)

Thank you

DTAP
ent
dy the effect of temperature on yield in a chemical process, five batches were produced at each of three temperatiure levels. The ress
60°C
50°C
70°C
34
26
29
31
30
24
33
31
36
22
33
39
34
26
32
an
analysis of variance table (to 2 decimals but p-value to 4 decimals, if necessary).
p-value
Variation Sum of Squares Degrees of Freedom Mean Square
0.24
N.

perature on yield in a chemical process, five batches were produced at each of three temperature
Temperature
70°C
50°C
60°C
26
34
29
31
30
24
33
36
33
22
39
34
26
32
of yariance table (to 2 decimals but p-value to 4 decimals, if necessary).
p-value
Mean Square
Degrees of Freedom
n of Squares

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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