Write a simulation in R that shows the distribution of the
t-‐test statistic for a two-‐sample t test when the null
hypothesis is true (i.e. when H0: µ1 -‐ µ2 = 0 is true). To do
this, you should use a for loop that repeatedly performs t-‐tests
comparing sample means of data that come from distributions with
the same population mean and standard deviation. Use rnorm() to
take samples, t.test() to perform the t-‐ tests, and use
“$statistic” to extract...
Write down the applications of following...
Mann Whitney U
Kolmogorov smirnov
kruskal wallis test
two way anova
Correct answer is required otherwise i will dis
like
Of the following statements, which are correct?
1) Kolmogorov-Smirnov test can be used to compare the medians of
two continuous populations based on two independent samples from
the two populations
2) Sample data on one variables collected from each of n
randomly selected subjects at two distinct time points are
considered two independent samples.
3) Wilcoxon ranks-sum test can be used to compare population
medians using paired random samples
4) Fisher's exact test can be used to see if proportions...
Just tell me we will use two Sample independent test or the two
sample dependent test.
An experiment was carried out to compare recall ability when
reading electronically compared to hard copy. Thirty students from
a first-year university English class agreed to participate. Each
student was shown a randomly generated list of 40 five-letter words
on a tablet and given 2 minutes to memorise them. They were then
given 4 minutes to write down as many of the words as...
An ANOVA F test is an extension of a
Question 1 options:
two-sample z test.
two-sample t test.
two-sample test of proportions.
a factorial ANOVA.
Question 2 (2 points)
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A manufacturer of infant formula is running an experiment using
the standard (control) formulation and two new formulations, A and
B. The goal is to boost the immune system in young children. There
are 120 children in the study, and they are randomly assigned, 40
to each of the three...
Use the normal distribution and the given sample results to
complete the test of the given hypotheses. Assume the results come
from a random sample and use a 5% significance level.
Test H0 : p=0.2 vs Ha : p≠0.2 using the sample results p^=0.26 with
n=1002
Round your answer for the test statistic to two decimal places, and
your answer for the p-value to three decimal places.
test statistic = Enter your answer; test statistic
p-value = Enter your answer;...
Use the normal distribution and the given sample results to
complete the test of the given hypotheses. Assume the results come
from a random sample and use a 5 % significance level:
a) Test H 0 : p = 0.5 vs H a : p > 0.5 using the sample
results p ^ = 0.60 with n = 50
b) Test H0 : p=0.3 vs Ha : p<0.3 using the sample results
p^=0.20 with n=198
c) Test H0 : p=0.75...
Use the t-distribution and the sample results to
complete the test of the hypotheses. Use a 5% significance level.
Assume the results come from a random sample, and if the sample
size is small, assume the underlying distribution is relatively
normal.
Test H0 : μ=100 vs Ha : μ<100 using the sample results x¯=91.7,
s=12.5, with n=30.