pokothometrics

Suppose alc=49,alw=49,alc*=4,alw*=15, L=849,L*=1750. Suppose that home and foreign both specialize. What is (Qc+Qc*)/(Qw+Qw*)

Trying to understand this assignment am I am struggling.  Here is the question below.

Find if Y(1) is a consistent estimater. Must use the limit definition ( show that the lim as n goes to infinity of P(|θ(hat) - θ| =< ε) = 1  Or              P|θ(hat) - θ| > ε) = 0. ) 

An exercise physiologist classifies people – on the basis of their body mass index, heart rate, and lung capacity – as (a) above average in terms of fitness or (b) below average in terms of their fitness. He then directs the same people to walk on a treadmill, individually, at an increasing speed until they can no longer walk. He records the speed of the treadmill when a person maxes out on walking. He wants to know if there is a difference in the maximum walking speed for patients who have undergone knee replacement in the last ten years based on fitness level. A total of 100 people participated in the study.

1. What is the population and sample?
2. What are the dependent and independent variables? 
3. What is the research hypothesis? 
4. What are the levels of measurement for the dependent and independent variables? 

Pat has asked a professor for a recommendation letter for graduate school. She estimates that the probability that the letter will be strong is 0.5 and that the probability that the letter will be weak is 0.2, and mediocre 0.3. Pat also estimates that if the letter is strong, the probability that she will enter grad school is 0.8; if it is weak, 0.1; and if it is mediocre, 0.4. Given that she did enter grad school, what is the probability that the recommendation letter was strong?

a) A set of data normally distributed with mean and standard deviation of 95 and 9, respectively. Approximately what proportion of observations are between 77 and 122? b) Refer to part (a). If the data is not normally distributed, at least what proportion of the observations are between 50 and 140?

You are given the following model of a data sampling process:
y =  B1 + B2X + u
where each element of the vector e is independently and identically distributed. Your empirical data is given by:
y = [9 6 8 10 9] and X = [2 1 2 2 1]'
i) show that the DSP satisfy the assumptions of the CLRM
ii) Assume that you have estimated this model by OLS ignoring any possible problems that there might be. What
are your estimates of b?
iii) What is the covariance matrix of the OLS estimators B^   given that STANDARD DEV2 = 13 ?
iv) Discuss the statistical properties of the OLS estimator for this DSP.

You are asked to model the data by using an appropriate probability distribution so that the same can be used for estimation. It is observed that binomial distribution is the right choice to model the data givrn. When you try to model the data using binomial distribution, it is observed ‘n’ is very large and p is very small. In such case, is it  possible to proceed further to model the data? Justify your decision.

Please show full solution
Please solve t=25 to t=2826 and find values Lt, Tt, St, Yt+p,et

StopSmoking is a product designed to help people quit smoking and no other products have to be more effective. StopSmoking provides significant advantages compared to all other products. For instance, StopSmoking is simpler to use. The product is also significantly less expensive than the other leading brands. The effectiveness of StopSmoking product has been tested in two independent experiments as shown in Table 1.

a) How do you interpret the results and information given above from the statistical context?

b) You would like to conduct another experiment on your latest product in comparison to the StopSmoking product. How would you determine the significant level of your statistical analysis? Describe on how would your decision affect the type I error and type II error.

Solve the questions attached.

If p= 0.06 , n= 300 , and N= 5,000 , calculate the upper bound for a one-sided confidence interval estimate of the population proportion, using a level of confidence of 90%.

A marriage counselor is interested in the proportion the clients she counsels that stay married. Match the vocabulary word with its corresponding example. The proportion of all of the counselor's clients who stayed married The 53 randomly selected clients that were chosen for this study The proportion of the 53 randomly selected clients who stayed married The list of Yes or No answers to the question on whether the clients stayed married All of the counselor's clients The answer Yes or No to the question on whether a client stayed married Parameter Data Sample Variable Statistic Population

Using a loop, create an experience variable that takes values from 1 to 10, depending on the manager's level of experience (b7) within a 5-year interval. What is the model of this variable experience.

Find the question attached in the screenshots attached.

1) Use descriptive statistics to investigate if there is an association between having had cholesterol and having had diabetes for the subjects in the sample. Then use an inference method to make a conclusion about the association between having had high cholesterol and having had diabetes in the population of all U.S. adults.

2) Use descriptive analysis to compare the distributions of age between subjects having high cholesterol and those who have never had it. Then use an inference method to compare the mean age of U.S. adults having had high cholesterol to the mean age of U.S. adults who have never had high cholesterol. 

In Rstudio with the file provided.

Thanks in advance.

In the attached table, the following data represents the responses of 1000 citizens of Missouri City, "How satisfied are you with police services provided by the Missouri City Police  Department?

a. What is the level of measurement?______________________________.

b. Determine, calculate, and interpret appropriate measure of central tendency.

c. Determine, calculate and interpret the appropriate measures of dispersion.

d. What percent of the residents were Satisfied or Very Satisfied with the police services of the Missouri City Police Department?

1) Use descriptive statistics to investigate if there is an association between having had cholesterol and having had diabetes for the subjects in the sample. Then use an inference method to make a conclusion about the association between having had high cholesterol and having had diabetes in the population of all U.S. adults. 

2) Use descriptive analysis to compare the distributions of age between subjects having high cholesterol and those who have never had it. Then use an inference method to compare the mean age of U.S. adults having had high cholesterol to the mean age of U.S. adults who have never had high cholesterol.

This has to be done with RStudio with the file provided.

Thanks in advance!

work out the following formula for the simple linear regression from the corresponding formula given in matrix terms

a) the normal equation

b)Bo ( the B has a hat on the top, but I cannot type it)

c) B1 ( the B has a hat on the top, but I cannot type it)

The table shows data collected on the relationship between the average daily temperature and coffee sales (in hundreds of dollars) at a coffee shop. The line of best fit for the data is ŷ =−0.68x+85.1. Assume the line of best fit is significant and there is a strong linear relationship between the variables.

According to the line of best fit, what would be the predicted number of coffee sales (in hundreds of dollars) for an average daily temperature of 32 degrees? Round your answer to two decimal places, as needed.

The body mass index is calculated by dividing a person's weight by the square of his or her height; it is a measure of the extent to which the individual is overweight. A researcher would like to test the hypothesis that men who develop diabetes have a higher BMI than men of similar age who do not. A literature review indicates that in healthy men, BMI is normally distributed, with a mean of 25 and a standard deviation of 2.7. The researcher proposes to measure 30 normal and 30 diabetic men. It is felt that a difference in average BMI of 2.7 (that is, one standard deviation) would be clinically meaningful. What is the power of the proposed study?

The Sherston Brick Company manufactures a standard stone block for the building industry. The production capacity for the year is 100,000 standard blocks. The selling price per block is $1.60, variable costs are $0.60 per brick and fixed costs are $60,000 per annum.

Determine:

(a) The break-even point in terms of sales revenue and output.

(b) The margin of safety if sales amount to 90,000 bricks in the year.