Does the rule y=6x^7 represent an exponential function
2 answers:
An exponential function is a function in which the variable is in the exponent.
Functions of the type :
Here the exponent is an integer.
Such functions are called Arithmetic functions.
Functions of the type
y = 2 ^x
Here the exponent of 2 is a variable.
Such functions are called exponential functions
We are given y =6 x^7.
Here the variable is base & the exponent is an integer.
So does not represent an exponential function.
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The correct answer is: D) Subtracted like terms incorrectly
Step-by-step explanation:
Given
The terms 11.2y-7.4y need to be subtracted. But option b is to add them. We will add them and then solve the equation to see if its right.
So adding 11.2y-7.4y
Dividing both sides by 18.6
so by adding the terms instead of subtracting we get y=7.6.
this means that the error was adding 7.4y-11.2y instead of subtracting
The correct method will be:
Dividing both sides by 3.8
Hence,
The correct answer is: D) Subtracted like terms incorrectly
Keywords: Linear equation, Expression
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Answer:
Step-by-step explanation:
Hello!
You have the information of an analysis of variance of 1 factor with 3 treatments.
Treatment 1 has 11 experimental units.
Treatment 2 has 14 experimental units.
Treatment 3 has 20 experimental units.
The whole experiment has a total sze of n= 11+14+20= 45 experimental units.
Unfortunatelly only with the sample size you cannot calculate all values of the ANOVA table, you need at least the information of either two Sum of Squares (SS) or one Sum of Squares and one Means Square (MS).
Tha first attachments shows how to construct the table by hand.
I'll use as example the following data:
SSTr= 1200
SSTotal= 1800
The Total SS is obtained by adding the SS of Treatmets + SS of error, so the SSerror is:
SSerror= SSTotal - SSTr= 1800 - 1200= 600
To calculate each Mean Square you have to divide the SS by the Degrees of Freedom, so next step is to calculate the Degrees of Freedom:
DFTr= k-1
Where k represents the number of Treatmets of the experiment.
DFTr= 3-1= 2
DFerror= n-k
DFerror= 45-3= 42
DFTotal= n-1= 45-1= 44
Now you can calculate the MS
MSTr= SSTr/DFTr= 1200/2= 600
MSerror= SSerror/DFerror= 600/42= 14,2857≅ 14.29
And the next step is to calculate the value of the test:
F= MSTr/MSerror= 600/14.29= 41,99
Finally the p-value.
The hypothesis test of ANOVA is one-tailed to the right under the Stedecors-F distribution with degrees of fredom (DFTr;DFerror)
The P-value is
P(≥41.99)= 1 - P(
<41.99)= 1 - 0.9999= 0,0001
I hope it helps!
