Consistency is the most important property of an estimator. If an estimator is not consistent we will not use it to estimate the unknown parameters . This is because :  Question 2Select one: a. it is essential that an estimator is efficient and the consistency measures an estimator precision in large sample b. consistency is the large sample analogue of being BLUE and we need to work with BLUE estimators, this is why we have the Gauss Markov assumptions c. An estimator is a random variable and in order for it to be a good estimator it must on average in repeated sampling be equal to the true value of the paprameter we are trying to estimate d. If an estimator does not converge to the true value of  the parameter as we have more and more observations than there is no point in using it to guess the unknown parameters e. the consistency  ensures that on average the estimator will get the true value of the parameter as the sample size increases

Let's consider a supermarket with three cash registers. The operation of the cash registers is checked daily, and if a register is found to be faulty, it is sent to the workshop for repairs. The probability of a working cash register breaking down is 1/5, and the probability of a cash register undergoing repair becoming operational is 3/5. The processes of breakdown and repair of cash registers are independent of each other. 1. (25 pts) Model this problem using a discrete time Markov chain. Present the transition probability matrix. 2. (15 pts) What is the long-run proportion of days when none of the cash registers are operational?

StarHortons Cup, the coffee company, wants to determine how long caffeine lasts throughout the day when individuals have a cup of one of their 3 types of coffee at 9am. They will then measure the levels of caffeine in these individuals’ systems at 10am, 12am, 2pm, 4pm, 6pm and 8pm. They want to have at least 20 observations per group. How many separate/distinct groups of participants are needed if they want to conduct this experiment using a mixed-measures ANOVA?   18 6 20 3

Which of the following individuals is likely to be excluded from a clinical trial?     An individual with other diseases besides the disease of interest.     An individual whose data is considered to be an outlier.     An individual of who is considered to be a minority.     An individual who will have difficulty complying trial protocols.    bartleby expert answers x2 is D (an individual who will have difficulty complying trial protocols); however, other online resources are consistently indicating A is actually the correct answer (an individual with other diseases besides the disease of interest)...which is the correct answer and why? thanks

For data that can be arranged in a 2 x 2 matrix, we can use Chi-Squared to test independence, or treat it as a comparison of two binomial probabilities from two populations. We only knew to use the two proportion t-test in Assignment 27.10. We then learned in the video that you were supposed to view before starting this assignment to perform a test for independence using chi-squared. This is the same data from Assignment 27.10. Perform a hypothesis test to determine, "Do we have statistically significant evidence that gun ownership and views on the death penalty are independent?" Suppose we asked the (self described) head-of-household in 180 Alaska households two questions: "Does your family own a gun?" And "Do you believe criminals who commit first degree murder should face The Death Penalty?" In our sample, 100 households owned a gun and 70 them favored the death penalty. Of the remaining 80 households who did not own a gun, 44 favored the death penalty. The data are summarized in…

Pricilla Phranklin opened her clothing store, Pricilla Phashions, in Downtown Dover a little over three years ago. Pants, skirts, blouses, and shirts have fairly consistent sales, while things like shorts, sweater and outerwear are highly seasonal. On the other hand, dresses are a little harder to predict. Pricilla is hiring you to arrive at the best forecasting method for dresses. The following table contains three years of dress sales data Year 3 Year 1 Year 2 Mont Dema Dema h nd nd nd Jan 186 217 212 Feb 222 220 245 Mar 220 239 252 Apr 356 362 376 720 May 727 757 [1] Jun 367 376 404 Jul 340 341 354 Aug 293 290 324 Sep 305 296 338 Oct 600 600 618 325 318 679 708 4613 4694 Nov Dec Total 1. 2. 3. Dema 4. 5. 356 713 Using the dress data above, calculate the following 4949 Forecast year 3 using a simple 3 period moving average Forecast year 3 Calculate a forecast using the exponential smoothing method. Assume a = 0.20 (a) Using the information you have for years 1 & 2, calculate a…

Foofy obtained a significant Fobt from an experiment with five levels. She therefore concludes that changing every condition of the independent variable results in a significant change in the dependent variable. (a) Is she correct? Why or why not? (b) What must she now do?

Scenario: If 20 participants completed an attention task twice — once after consuming a sugar pill and once after consuming a pill that contained 25 mg nicotine, which test would be most appropriate? Assume data meets all assumptions for a parametric test, and that participant exposure to the sugar pill vs. nicotine pill were counterbalanced. Question: Which of the following best describes the research design? Descriptive Predictive Quasi-experimental Experimental

The World Health Organization declared the novel coronavirus (COVID-19) outbreak a global pandemic on March 11, 2020. How did population movement change before and after the COVID-19 pandemic was declared? The United States' Bureau of Transportation has collected data that can help answer this question. In this activity we will focus on traveling patterns in the state of New York during 2019 and the first three seasons of 2020. The dataset consists of variables for the state of New York including the month the data were collected, a season year label, and the number of trips less than 1 mile from one's home as measured by a mobile device's movement. A trip is defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Movements with multiple stays of longer than 10 minutes before returning home are counted as multiple trips. The months January, February, and March are categorized as winter; the months April, May and June are categorized…