Is it possible to have more than one unbiased estimator for an unknown parameter? Or is not possible? How so
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Is it possible to have more than one unbiased estimator for an unknown parameter? Or is not possible? How so?
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- If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use it to find a second model for the data. Graph this new equation along with your first model. How do they compare?The expected value of an unbiased estimator is equal to the parameter whose value is being estimated. True FalseShow that the estimator of Exercise 21 is consistent.
- Is there a possiblity to get an explanation to solve this problem?An estimator for parameter v is consistent if E(v) is close to v when sample size is increased. Instruction TRUE or FALSE ?3. Describe the consequences of estimating an equation by OLS in the presence of anendogenous regressor. How can you overcome these obstacles? Present an alternative estimator and state its properties.
- Which of the following can cause OLS estimators to be biased? PLEASE EXPLAIN 1. Heteroscedasticity 2. Omitting an important variableif the Null Hypothesis is "There is no relationship between gender and level of productivity" then based on the table we can conclude that "there is relationship between gender and level of productivity".Assume that last year in a particular state with 700000 children there were 1552 children out of 31500 in a random sample who were diagnosed with Autism Spectrum Disorder. Nationally, 1 out of 88 children are diagnosed with ASD. Is there sufficient data to show that the incident rate of ASD is higher in that state than nationally? Test at the 7% level.P: PARAMETER What is the correct parameter symbol for this problem? What is the wording of the parameter in the context of this problem? H: HYPOTHESES Fill in the correct null and alternative hypotheses: The value of p on this one is a fraction....leave it exact. H0:H0: HA:HA: A: ASSUMPTIONS Since information was collected from each object, what conditions do we need to check? Check all that apply. n(1−pˆ)≥10n(1-p̂)≥10 σσ is unknown. N≥20nN≥20n np≥10np≥10 σσ is known. n(1−p)≥10n(1-p)≥10 n≥30n≥30 or normal population.…
- Can you consider a measurement be accurate within two sigmas in finding out an empirical value? Give some weaknesses if ever there will be an inaccurate value of this empirical value.If one explanatory Variable is correlated with the error term, is there any problem of heterosdasticity in the model?In 2001, the polls found that 81% of American adults believed that there was a conspiracy in the death of President Kennedy. Assume a recent poll asked 1940 American adults if they believe there was a conspiracy in the assassination and it found that 1519 believe there was a conspiracy. Does the data show that the proportion of Americans who believe in this conspiracy is now lower? Test at the 6% level.P: PARAMETER What is the correct parameter symbol for this problem? What is the wording of the parameter in the context of this problem? H: HYPOTHESES Fill in the correct null and alternative hypotheses: H0:H0: HA:HA: A: ASSUMPTIONS Since information was collected from each object, what conditions do we need to check? Check all that apply. n(1−pˆ)≥10n(1-p̂)≥10 n≥30n≥30 or normal population. np≥10np≥10 n(1−p)≥10n(1-p)≥10 N≥20nN≥20n σσ is known. n(pˆ)≥10n(p̂)≥10 σσ is unknown.…