Suppose that we survey 30 employees of a big company and ask each whether they support the new policy on retirement funding. Only 6 employees support the policy. By using most likelihood approach, estimate the probability p, the true but unknown proportion of employees that support the policy.

At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.

Get our expert's

answer on brainly

SEE EXPERT ANSWER

Get your free account and access expert answers to this and thousands of other questions.

A community for students.

Suppose that we survey 30 employees of a big company and ask each whether they support the new policy on retirement funding. Only 6 employees support the policy. By using most likelihood approach, estimate the probability p, the true but unknown proportion of employees that support the policy.

Mathematics
I got my questions answered at brainly.com in under 10 minutes. Go to brainly.com now for free help!
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.

Get this expert

answer on brainly

SEE EXPERT ANSWER

Get your free account and access expert answers to this and thousands of other questions

6/30 = 1/5
i want to know how we use the most likelihood approach to know the unknown proportion of employees that support the policy
1-6/30

Not the answer you are looking for?

Search for more explanations.

Ask your own question

Other answers:

Please may i know the Most Likelihood approach? thats what i am stuck at.
In statistics, maximum-likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum-likelihood estimation provides estimates for the model's parameters. - Wikipedia
how does that apply to the problem is what i want to know...
Okay, here is what I have learned: The MLE approach is used when you don't have the time or resources to take a measurement (whatever that may be) from an entire group, or if this task is simply impossible. So say you wanted to know the mean length of all the alligators in the Florida Everglades. Obviously it would be too hard to go through, catch, and measure all of them. Now assuming that the gators are normally distributed, in other words, you don't have a huge population of large or small gators in one region, you can take a small sample of gators and measure them. Then you can apply MLE to get an estimate of the mean length of all the gators in the Everglades. So, in your problem you have a small sample (30) of a large company. Using MLE you can fairly accurately estimate the numer of supporters of the policy assuming that the company as a whole has a normal distribution of supporter. Variance also comes into play here, but that's where I get confused.
looks Good so Far.. Thank you !

Not the answer you are looking for?

Search for more explanations.

Ask your own question