Determine the test statistic, the P-value, and test the
hypothesis at the
alpha equals 0.05α=0.05 level of significance.
Outcome Observed Expected
0 3 1.6
1 40 25.5
2 121 153.1
3 442 408.4
4 391 408.4
Can someone describe following quesions
a) the relationship between the catabolism and anabolism.
b) the differences between sterilization in batch and continuous
systems
alpha value is 0.05 if it is not specified in the problem.
**Everything should be in r code base.
4. Back to the iris dataset one last time! We wish to estimate
the probability of a flower’s species based on the available
measurements.
a. Build a Multinomial model to predict Species based on
Sepal.Length. Use it to estimate the probability of each species
for a flower with a sepal 6.3 cm long.
b. Build a Multinomial model to predict Species...
Can someone please explain to me the relationship between
Stoke's theorem, Green's theorem, and the Gradient theorem. and
give one example each for 0,1 and 2 forms. As a Calc 3 student, I
am very confused about what this theorem is, I know it is essential
to what linear algebra. Please help.
At the 0.05 level of significance, is there evidence of a
relationship between gender and the searched meal type? (Give
detailed answer.) What is the expected frequency in case of
categories: males and breakfast? If there is a significant
stochastic relationship, compute and interpret the Cramer
indicator.
Food type/Gender
Male
Female
Total
Breakfast
12
32
44
Appetizer
41
32
73
Main course (lunch or supper)
49
54
103
Dessert
37
43
80
Total
139
161
300
The r-value for the relationship between washing and
perfectionism is 0.44 (p = .003). Is this correlation
significant? If yes, interpret. Note: do not overthink this. You
are simply comparing your obtained p value with alpha to
determine if the correlation is significant.
The r-value for the relationship between checking and
perfectionism is 0.57 (p = .0003). Is this correlation
significant? If yes, interpret.
The r-value for the relationship between washing and
checking is 0.29 (p = .021). Is this...
1. Please explain what is P value.
2. Please explain what is the difference and relationship
between One-Tailed Test and Two-Tailed Test.
3. Please explain what is the difference between Z-statistic
and T-statistic.
(a) What is the relationship of the p-value and hypothesis
testing?
(b) What is a p-value threshold of 0.05 mean? (in words)
(c) Why do you think that a p-value of 0.05 is used so often as a
threshold? What is a situation when that value would be too large
(i.e. a value much lower than 0.05 should be used)?