OSCM 4250 TUT Supply Chain Variable Relationship & Variance of Clusters Exam Practice
OSCM 4250 TUT Supply Chain Variable Relationship & Variance of Clusters Exam Practice
We wish to visually evaluate the distributions of the blood sorts for men and women, which of the next is appropriate? (information format see beneath)
Primarily based on the dendrogram, what’s the quantity of clusters that works higher?
Primarily based on the field plot, which of the next assertion is true?
We wish to take away outliers earlier than performing one-sample t-test, which of the next are legitimate procedures?
To examine if a linear correlation exists between two scale variables, we will run the Pearson correlation immediately. We don’t have to attract the scatter chart if we don’t want visualization within the report. True Or False
The dataset has 20,000 observations, Therefore, we use the next to check normality
Which of the next assertion about Spearman’s Rank Order Correlation Take a look at isn’t right?
We are able to use Q-Q plot to check our information distribution towards a Poisson distribution. True Or False
When measuring the similarity between clusters, which one must be chosen if we wish to measure the shortest distance between clusters
11- When clustering observations with solely binary variables, we will calculate the similarity primarily based on which of the follows to cut back the impact of the absence of function.
17- Obtain the file:ex2.sav.
18- Obtain the file: ex3.sav .
19- Obtain the file: ex1.sav
Gender ABO
M A
M O
F B
F O
M A
A.
Cross-tab
B.
Histogram
C.
Field Plot
D.
Line Chart
2-What number of samples ought to we gather for the next state of affairs? We wish to know the proportion of college students who have been sick not less than one time throughout the semester with the extent of precision (5%) and 95 % confidence stage (i.e., the corresponding z=1.96) assuming the estimated proportion is zero.5. Spherical up your reply to the integer.
three
four
5
6
a) The central line doesn’t exist for the feminine group as a result of there isn’t any adequate information to find out it
b) The check distribution of the male is positively skewed
c) The imply check rating for the male is 2
d. The IQR for the feminine is 5
a.Field plot, z-score, and scatter chart
b.Field plot and z-score
c.Standardized variable and scatter plot
d.Field plot
a.Kolmogorov-Smirnov Take a look at
b.Shapiro-Wilk Take a look at
c.Q-Q Plot
d.All of the above are appropriate
a.If Pearson correlation reveals a optimistic correlation, Spearman’s check will present a optimistic correlation too
b.It may also be utilized to the ordinal categorical variable however not the nominal variable
c.It may be used when the 2 variables to be examined should not usually distributed. Nonetheless, they nonetheless have to have a linear relationship
d.All of the above is wrong
a.Single linkage
b.Full linkage
c.Group Common linkage
d.Centroid linkage
a.Squared Euclidean Distance
b.Euclidean Distance
c.Jaccard’s Coefficient
d.Matching Coefficient
12-Once we run the one-sample t-test to examine if the inhabitants imply of earnings is the same as 50000. Suppose that the 95% C.I. of distinction offered on the output desk is [500, 900], which of the follows is more likely to be the proper p-value?
a.zero.035
b.zero.065
c.zero.535
d.All are attainable
13-We wish to discover out if the typical commute occasions are completely different within the residents’ zip codes (43615, 48103, and 48105), which of the next is extra appropriate provided that the commute time is often distributed inside every zip code
a.Paired-samples t-test
b.One-way ANOVA
c.Two-way ANOVA
d.Impartial-sample t-test
14-The output for the paired t-test is offered beneath. Our H1is that X7 and X4 are completely different. Primarily based on the output, which of the next is the proper conclusion
a.There isn’t a important proof to indicate that X7 is completely different from X4 (p=zero.076)
b.We conclude that X7 is considerably completely different from X4 (p=zero.038)
c.Neither is right
15-Primarily based on the consequence beneath, we must always report the t-test outcomes from
a.The primary row
b.The second row
c.Both is okay
16- Obtain the file: ex1.sav .
Run the Kolmogorov-Smirnov Normality Take a look at on X1 for every gender, what’s the important stage for males?
a.zero.097
b.zero.179
c.zero.035
d.zero.zero24
Run a one-sample t-test to see if the imply for X3 is completely different from 140. Report the t statistic.
a.zero.202
b.zero.830
c.zero.513
d.zero.246
Mixture the info by Gender. What’s the customary deviation of X2 for males? (enter two decimals level e.g., 35.24)
Report the Spearman’s correlation between X1 and X3 (report the precise worth. Don’t spherical.)
20-We plan to run Mann-Whitney Take a look at to check the financial savings for men and women. Verify the assumptions for the connected information. Primarily based in your discovering, the Mann-Whitney Take a look at will evaluate:
Knowledge:PP.sav
a.imply
b.mode
c.variance
d.median
21-We wish to run a nonparametric check to check the saving distributions for residents in Perrysburg and Ottawa Hills. Choose the suitable check taught in school and report the p-value.
ind_t.sav
22-Calculate the imply for X1 (format:zero.00) after eradicating or filtering out all observations which might be two occasions away from the usual deviation.
imply.sav
23-Run the Ok-mean cluster to divide observations into 2 teams primarily based on age and top. What’s the common age for the group with C in it? (format: x.xx)
cluster.sav
24-Reply the next Question Assignment primarily based in your Ok-mean cluster Assessment within the earlier Question Assignment. Which of the next is true? (select any methodology you want in SPSS)
a.The cluster that features C is taken into account older and taller.
b.The cluster that features C is taken into account older and shorter.
c.The cluster that features C is taken into account youthful and taller.
d.The cluster that features C is taken into account youthful and shorter.
Pearson correlation can even Help us decide how briskly one variable might be affected by the opposite one.True or
