Task 1. The points on opposite sides of a die add up to seven. Assume that you suspect that a die is biased towards rolling sixes. One possible model for the outcome X of a roll of this die would be to use the following probability mass function for X: 1 2 3 4 5 6 0 + { { { { { 0- { [x = 1 1 1 6. 6. 6 where 0 < 0 < is unknown. (a) Assume the die is rolled n = 100 times and we observe y = 32 sixes. (1) How would you model the outcome of this experiment? Clearly state your statistical model. (2) Using your model, find the likelihood function and the log-likelihood function of 0 (given the data). Using the log-likelihood function, also determine the score function. (3) Find the maximum likelihood estimate ô of 0 and its standard error.
Unitary Method
The word “unitary” comes from the word “unit”, which means a single and complete entity. In this method, we find the value of a unit product from the given number of products, and then we solve for the other number of products.
Speed, Time, and Distance
Imagine you and 3 of your friends are planning to go to the playground at 6 in the evening. Your house is one mile away from the playground and one of your friends named Jim must start at 5 pm to reach the playground by walk. The other two friends are 3 miles away.
Profit and Loss
The amount earned or lost on the sale of one or more items is referred to as the profit or loss on that item.
Units and Measurements
Measurements and comparisons are the foundation of science and engineering. We, therefore, need rules that tell us how things are measured and compared. For these measurements and comparisons, we perform certain experiments, and we will need the experiments to set up the devices.
![Task 1. The points on opposite sides of a die add up to seven. Assume that you suspect that
a die is biased towards rolling sixes. One possible model for the outcome X of a roll of this die
would be to use the following probability mass function for X:
1
2 3 4 5
Pr[X = x] - 0
1
6.
1
+ 0
|
6.
where 0 < 0 < is unknown.
(a) Assume the die is rolled n = 100 times and we observe y = 32 sixes.
(1) How would you model the outcome of this experiment? Clearly state your statistical
model.
(2) Using your model, find the likelihood function and the log-likelihood function of 0
(given the data). Using the log-likelihood function, also determine the score function.
(3) Find the maximum likelihood estimate ô of 0 and its standard error.
(4) Based on your model and the data, what conclusion do you draw about whether the
die is biased or not?
HINT: You may assume that the sampling distribution of your estimator is approx-
imately normal.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3c12b047-3197-4ef5-8ba2-9f147599c332%2F037f00b7-ab28-49db-902f-031d005855a3%2Fwurkh0k_processed.png&w=3840&q=75)

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