Two independent simulated normal, setting to have same variance, data sets,
C1, were put together to form a new data set C3.
Some statements regarding these data sets are:
(1) All three data sets are symmetry.
(2) All three data sets are unimodel.
(3) All three data sets are normal.
How many of statements i, ii, iii are always correct?
none
one
two
three
Two independent simulated normal, setting to have same variance, data sets,
C1, were put together to form a new data set C3.
None of the above is always true.
Two independent simulated normal, setting to have same variance, data sets,
C1, were put together to form a new data set C3.
None of the above is always true.
A random sample of size 1000 was randomly drawn from a small town with
population of size 300,000. Each of the 1000 subjects was asked for his/her gender,
age group, (codes as 1 for age under 20, 2 for age between 20(included) and 40, 3
for age between 40(included) and 60, and 4 for age 60(included) and over),
education status (based on their highest diploma, codes as 0 for not diploma at all,
1 for having elementary school diploma, 2 for having junior middle school diploma,
3 for having high school diploma, 4 having bachelor degree, 5 for having master or
higher degree) and opinion on adding luxury tax (codes as 4 for strongly agree, 3
for agree, 2 for do not agree, 1 for strongly disagree).
Which of the following statement regarding the type of measuring scale for
variables : gender, age group, education status and opinion on adding luxury
tax are true?
One Nominal, two Ordinal and one interval
One Nominal, three Interval
Three Nominal and one is Ordinal
All four variables are Nominal scales
A random sample of size 1000 was randomly drawn from a small town with
population of size 300,000. Each of the 1000 subjects was asked for his/her gender,
age group, (codes as 1 for age under 20, 2 for age between 20(included) and 40, 3
for age between 40(included) and 60, and 4 for age 60(included) and over),
education status (based on their highest diploma, codes as 0 for not diploma at all,
1 for having elementary school diploma, 2 for having junior middle school diploma,
3 for having high school diploma, 4 having bachelor degree, 5 for having master or
higher degree) and opinion on adding luxury tax (codes as 4 for strongly agree, 3
for agree, 2 for do not agree, 1 for strongly disagree).
Let X be the random variable to record the subject's gender. What is the exact
distribution that we should make assumption for X ?
Binomial with n = 1000 and p unknown.
Binomial with n = 1000 and p = 0.5 .
A random sample of size 1000 was randomly drawn from a small town with
population of size 300,000. Each of the 1000 subjects was asked for his/her gender,
age group, (codes as 1 for age under 20, 2 for age between 20(included) and 40, 3
for age between 40(included) and 60, and 4 for age 60(included) and over),
education status (based on their highest diploma, codes as 0 for not diploma at all,
1 for having elementary school diploma, 2 for having junior middle school diploma,
3 for having high school diploma, 4 having bachelor degree, 5 for having master or
higher degree) and opinion on adding luxury tax (codes as 4 for strongly agree, 3
for agree, 2 for do not agree, 1 for strongly disagree).
To compare the opinions on adding the luxury tax between male and female.
What kind of statistical test you would suggest?
Two samples t-test
Two samples z-test
Chi-square independent test
Chi-square test for goodness of fit.
Critical value at 5% significant level is 2.4630.
The testing statistic is 2.7867.
The testing statistics has degrees of freedom = 28.
The testing statistics has degrees of freedom = 15.
The two-sided testing p-value is less than 0.05.
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