In Problems 29-34, find the limiting matrix for the indicated standard form. Find the long-run probability of going from each nonabsorbing state to each absorbing state and the average number of trials needed to go from each nonabsorbing state to an absorbing state. A B C D P = A B C D 1 0 0 0 0 1 0 0 .1 .1 .7 .1 .3 .1 .4 .2
In Problems 29-34, find the limiting matrix for the indicated standard form. Find the long-run probability of going from each nonabsorbing state to each absorbing state and the average number of trials needed to go from each nonabsorbing state to an absorbing state. A B C D P = A B C D 1 0 0 0 0 1 0 0 .1 .1 .7 .1 .3 .1 .4 .2
Solution Summary: The author calculates the limiting matrix for the indicated standard form.
In Problems 29-34, find the limiting matrix for the indicated standard form. Find the long-run probability of going from each nonabsorbing state to each absorbing state and the average number of trials needed to go from each nonabsorbing state to an absorbing state.
A
B
C
D
P
=
A
B
C
D
1
0
0
0
0
1
0
0
.1
.1
.7
.1
.3
.1
.4
.2
3. (i) Below is the R code for performing a X2 test on a 2×3 matrix of categorical
variables called TestMatrix:
chisq.test(Test Matrix)
(a) Assuming we have a significant result for this procedure, provide the R
code (including any required packages) for an appropriate post hoc test.
(b) If we were to apply this technique to a 2 × 2 case, how would we adapt
the code in order to perform the correct test?
(ii) What procedure can we use if we want to test for association when we
have ordinal variables? What code do we use in R to do this? What package
does this command belong to?
(iii) The following code contains the initial steps for a scenario where we are
looking to investigate the relationship between age and whether someone owns
a car by using frequencies. There are two issues with the code - please state
these.
Row3<-c(75,15)
Row4<-c(50,-10)
MortgageMatrix<-matrix(c(Row1, Row4), byrow=T, nrow=2,
MortgageMatrix
dimnames=list(c("Yes", "No"), c("40 or older","<40")))…
Describe the situation in which Fisher’s exact test would be used?(ii) When do we use Yates’ continuity correction (with respect to contingencytables)?[2 Marks] 2. Investigate, checking the relevant assumptions, whether there is an associationbetween age group and home ownership based on the sample dataset for atown below:Home Owner: Yes NoUnder 40 39 12140 and over 181 59Calculate and evaluate the effect size.
College Algebra with Modeling & Visualization (5th Edition)
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