This 3 questions solution were fed for three weeksto each cow and the total milk in the third week of each period was recorded. The experimentmonths. The researcher felt that time period might influence milk yields. Hence,was designed by two-way blocking i.e, cows and time period, and the datalasted in 18the experimentwere recorded oneach treatment and the following missing ANOVA was recorded.P-SovDfMSF-ratiovalueCow16.560.720.616Time Period558.8924.330.000Treatment295.944 *0.000Error4.594Total538. 96Grand Mean 55.389i.Complete all the missing entries (*) in the ANOVAWrite all possible hypotheses (both null and alternative) for the given problem.Draw conclusions at 5% level of probability regarding the Cows, Time Periodand treatment effects.ji.ii.Also calculate the Coefficient of variation (CV) for this particular experiment.Calculate the value of LSD for Treatment comparison.iv.v.A study was conducted to optimize the concentration temperature in relation tothe amount of solids content (g/L) of orange concentrate (treatments). Due tolimited number of evaporators available, the experimenter was forced to use 4different sized evaporators. It was presumed that the size of the evaporatorscould be a possible source of variation (columns). As each run took 4 days time,it was decided to control the effect of the experimentation time (rows) and theexperiment was conducted in a Latin Square Design. Answer the followingquestions:i.Q2.What will be the layout of this designWrite the ANOVA showing the first two columns only (i.e. SoV and degrees offreedom)Consider orange concentrate as treatments and time as a blocking factor(RCBD) by ignoring evaporator effect, Write the layout of this designBy considering (ii) make ANOVA showing only the first two columnsii.ii.iv.Q3.An experiment was conducted to investigate the effect of 3 different levels oftemperature and applied ethylene levels (low and high) on the time (in days)required for ripening of dessert banana. The experiment was conducted in RCBDwith 3 replicates, and the following missing ANOVA was recorded.SovdfMSF-ratioP-valueBlock208.667 30.990.000Temperature(T)Ethylene (E)221.33*0.253*9814.550.003TxE2*740.003Error67.3336.733Total752а).b).c).Complete the missing entries (*) in the ANOVA Table.Write all possible hypotheses (both null and alternative) for the given problem.Draw conclusions about the significance of temperature, ethylene and interactionof T and E at 5% level of significance.

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Description: This 3 questions solution were fed for three weeksto each cow and the total milk in the third week of each period was recorded. The experimentmonths. The researcher felt that time period might influence milk yields. Hence,was designed by two-way bloc

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to each cow and the total milk in the third week of each period was recorded. The experiment lasted in 18 months. The researcher felt that time period might influence milk yields. Hence, the experiment were recorded on was designed by two-way blocking i.e. cows and time period, and the data each treatment and the following missing ANOVA was recorded. P- sov Df MS F-ratio value Cow 16.56 0.72 0.616 Time Period 5 558.89 24.33 0.000 Treatment 5 * 295.944 * 0.000 Error 4.594 Total 538.96 Grand Mean 55.389 i. Complete all the missing entries (*) in the ANOVA Write all possible hypotheses (both null and alternative) for the given problem. Draw conclusions at 5% level of probability regarding the Cows, Time Period and treatment effects. ii. ii. 1

to each cow and the total milk in the third week of each period was recorded. The experiment lasted in 18 months. The researcher felt that time period might influence milk yields. Hence, the experiment were recorded on was designed by two-way blocking i.e. cows and time period, and the data each treatment and the following missing ANOVA was recorded. P- sov Df MS F-ratio value Cow 16.56 0.72 0.616 Time Period 5 558.89 24.33 0.000 Treatment 5 * 295.944 * 0.000 Error 4.594 Total 538.96 Grand Mean 55.389 i. Complete all the missing entries (*) in the ANOVA Write all possible hypotheses (both null and alternative) for the given problem. Draw conclusions at 5% level of probability regarding the Cows, Time Period and treatment effects. ii. ii. 1

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Permutations and Combinations

If there are 5 dishes, they can be relished in any order at a time. In permutation, it should be in a particular order. In combination, the order does not matter. Take 3 letters a, b, and c. The possible ways of pairing any two letters are ab, bc, ac, ba, cb and ca. It is in a particular order. So, this can be called the permutation of a, b, and c. But if the order does not matter then ab is the same as ba. Similarly, bc is the same as cb and ac is the same as ca. Here the list has ab, bc, and ac alone. This can be called the combination of a, b, and c.

Counting Theory

The fundamental counting principle is a rule that is used to count the total number of possible outcomes in a given situation.

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This 3 questions solution

were fed for three weeks
to each cow and the total milk in the third week of each period was recorded. The experiment
months. The researcher felt that time period might influence milk yields. Hence,
was designed by two-way blocking i.e, cows and time period, and the data
lasted in 18
the experiment
were recorded on
each treatment and the following missing ANOVA was recorded.
P-
Sov
Df
MS
F-ratio
value
Cow
16.56
0.72
0.616
Time Period
558.89
24.33
0.000
Treatment
295.944 *
0.000
Error
4.594
Total
538. 96
Grand Mean 55.389
i.
Complete all the missing entries (*) in the ANOVA
Write all possible hypotheses (both null and alternative) for the given problem.
Draw conclusions at 5% level of probability regarding the Cows, Time Period
and treatment effects.
ji.
ii.
Also calculate the Coefficient of variation (CV) for this particular experiment.
Calculate the value of LSD for Treatment comparison.
iv.
v.
A study was conducted to optimize the concentration temperature in relation to
the amount of solids content (g/L) of orange concentrate (treatments). Due to
limited number of evaporators available, the experimenter was forced to use 4
different sized evaporators. It was presumed that the size of the evaporators
could be a possible source of variation (columns). As each run took 4 days time,
it was decided to control the effect of the experimentation time (rows) and the
experiment was conducted in a Latin Square Design. Answer the following
questions:
i.
Q2.
What will be the layout of this design
Write the ANOVA showing the first two columns only (i.e. SoV and degrees of
freedom)
Consider orange concentrate as treatments and time as a blocking factor
(RCBD) by ignoring evaporator effect, Write the layout of this design
By considering (ii) make ANOVA showing only the first two columns
ii.
ii.
iv.
Q3.
An experiment was conducted to investigate the effect of 3 different levels of
temperature and applied ethylene levels (low and high) on the time (in days)
required for ripening of dessert banana. The experiment was conducted in RCBD
with 3 replicates, and the following missing ANOVA was recorded.
Sov
df
MS
F-ratio
P-value
Block
208.667 30.99
0.000
Temperature
(T)
Ethylene (E)
2
21.33
*
0.253
*
98
14.55
0.003
TxE
2
*
74
0.003
Error
67.333
6.733
Total
752
а).
b).
c).
Complete the missing entries (*) in the ANOVA Table.
Write all possible hypotheses (both null and alternative) for the given problem.
Draw conclusions about the significance of temperature, ethylene and interaction
of T and E at 5% level of significance.

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