Answer:
It is a type of ANOVA that can analyze several independent variables at the same time.
Explanation:
This is the statement that correctly describes the n-way analysis of variance (ANOVA). ANOVA is a type of analysis of variance that can analyze several independent variables at the same time. In this type of analysis, a dependent variable is measured by different levels of independent variables. When the results are obtained, these are assumed to be the consequence of the different levels of the independent variables, plus random error. The computation necessary for this analysis can be done in most types of statistical software.
Answer:
vacancy formation energy of Ni is 1.400 eV
Explanation:
given data
number of vacancies in Ni = 4.7 x
atomic weight = 58.69 g/mol
density = 8.8 g/cm³
solution
we get here N that is
N =
...........1
N = 
N =
and here no of vacancy will be
Nv =
.................2
put here value

take ln both side
Qv = 1.400 eV
so vacancy formation energy of Ni is 1.400 eV
Answer:
0.163 MW
Explanation:
To get the minimum rate of energy rehection by heat transfer to cold reservoir, it implies that the power cycle operates in reversible cycle. The efficiency of reversible cycle whose value will be same as efficiency of power cycle will be given by
Efficiency of reversible cycle
n= (Th-Tc)/Th where T represent temperature, n efficiency, subscripts h and c hot and cold respectively
Substituting 500 and 310 for hot and cold temperatures respectively then efficiency
n=(500-310)/500=0.38
Efficiency of power cycle, n= Power output/Qh
Qh= 0.1/0.38= 0.263
Net power output, W= Qh- Qc
Qc=Qh-W= 0.263-0.1=0.163 MW
Answer:
The function is
and the constant of integration is
.
Explanation:
The resultant expression is equal to the sum of a constant multiplied by the integral of a given function and an integration constant. That is:

Where:
- Constant, dimensionless.
- Integration constant, dimensionless.
By comparing terms,
,
and
. Then,
is determined by deriving the cosine function:


The function is
and the constant of integration is
.