Produce the following for each problem:
Assuming an Alpha = 0.05, calculate the number of replications
necessary for each factor (including interactions), to have a type
II error less or equal to 0.1.
Evaluate results and provide conclusion(s).
Scan the solutions to these problems.
Depth of Cut (in)
Feed Rate (in/min)
0.15
0.18
0.20
0.25
74
79
82
99
0.20
64
68
88
104
60
73
92
96
92
98
99
104
0.25
86
104
108
110
88
88
95
...
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...
At an alpha level of 0.05, test to determine if the means of the
three populations are equal. The data below is based on samples
taken from three populations. Sample 1 Sample 2 Sample 3 60 84 60
78 78 57 72 93 69 66 81 66
Assume that you plan to use a significance level of alpha = 0.05
to test the claim that p1 = p2. Use the given sample sizes and
numbers of successes to find the z test statistic for the
hypothesis test.
A report on the nightly news broadcast stated that 10 out of 108
households with pet dogs were burglarized and 20 out of 208 without
pet dogs were burglarized.
Let’s assume that a nation has a production function of the form
? = ?^.5 , savings rate of 30 % and depreciation rate of 10%. Let
us further assume that this nation has a technological advancement
rate of 2% and that its population grows at 2%.Calculate kCalculate y, i, c, delta k, and change in kWhat is the formula to calculate k in the second period by
adding the k in the first period and change in k
CALCULATE THE MAD, MSE, AND MAPE ERRORS FOR THE FOLLOWING DATA.
SHOW WORK TO RECEIVE CREDIT. Period Demand FORECASTED 1 940 938 2
946 948 3 942 944 4 946 943 5 950 948 6 955 957
I have calculated a probability of type two error at alpha 0.1
as 0.05730834612602564 and 0.05 as 0.11282997108101914. From these
values how would i conclude the sampling method is good enough to
reduce the effort(in my problem statement)
How should i interpret the value of chi square test, where the
result is
statistic=15.066337549525954, pvalue=0.019746985983350823