You are volunteering for a local nonprofit organization whose mission is to improve childliteracy. This organization has asked for your help gathering information on the readingactivities that local children engage in.1. For each of the following scenarios, state the null and alternative hypotheses.Scenario A: You read in a report that preschool-aged children have on average 5.2 books athome. You are concerned that children in your community have fewer books.Scenario B: The nonprofit recently engaged in a campaign to encourage elementary schoolchildren to read more. A previous study found that children in your community read in theirfree time for 48 minutes per day on average. You would like to find out whether the timespent reading among elementary school students increased after the campaign.Scenario C: Your local public library reported last year that the average number of childrenvisiting the library each day was 77. You would like to test whether that has changed.

The objective of the question is to formulate null and alternative hypotheses for three different…

Answered: You are volunteering for a local…

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Scenario B: The nonprofit recently engaged in a campaign to encourage elementary school children to read more. A previous study found that children in your community read in their free time for 48 minutes per day on average. You would like to find out whether the time spent reading among elementary school students increased after the campaign.
A poverty threshold represents the minimum annual household income for a family not to be considered poor. In 1995, the poverty threshold for a family of four with two children under the age of 18 years was $15,828.In 2005, the poverty threshold for a family of four with two children under the age of 18 years was $19,739. Assuming poverty thresholds increase in a straight-line fashion, use the midpoint formula to estimate the poverty threshold of a family of four with two children under the age of 18 in 2000. The poverty threshold of a family of four with two children under the age of 18 in 2000 is $
= 3+5Z+v, Suppose we have the following causal model Y where cov(Z, v) = 0. However, a precise measure of Z is not available. Instead, we have a noisy measure X of Z, that is, X = Z + w with var(w) > 0. Suppose the error w is a classical measurement error so that cov(w, Z) = cov(w, v) = 0. What can you conclude about the limit of the OLS estimator, namely ß₂2 = cov(X, Y)/var(X)? 0 B² = 0 B 5 OB > 0 U
A tax on Cigarettes introduced in Mexico in 2012 increased the price of Cigarettes by about 10%. An evaluation of the first two years of this measure found that Cigarette consumption fell on average by 7.6%, with a larger decrease (11.7%) in low income households. The study also estimated an increase in consumption of alternatives to smoking, particularly Nicotine patches, of 2.1% (AYA, 2017) Explain factors that determine responsiveness to a price increase. Which of these factors might explain the difference in the economy and low income households?
18:23 : (C. a. Show that E(Y₂) = E(Y₁-1). (Hint: Read Key Concept 14.5.) b. Show that E(Y) = Bo/(1 − B₁). 14.1 Consider the AR(1) model Y₁ = B₁ + B₁Y₁-1 + U₁. Suppose that the pro- cess is stationary. 35 14.5 Prove the following results about conditional means, forecasts, and forecast errors: a. Let W be a random variable with mean µw and variance o and let c be a constant. Show that E[(W − c)²] = σ² + (µw − c)². b. Consider the problem of forecasting Y₁, using data on Y₁-1, Y₁-2, . . . . Let fi-1 denote some forecast of Y₁, where the subscript t - 1 on ft-1 indicates that the forecast is a function of data through date t 1. Let E[(Y₁-ft-1)² Y₁-1, Y₁-2,...] be the conditional mean squared error of the forecast fi-1, conditional on values of Y observed through date t 1. Show that the conditional mean squared forecast error is mini- mized when fi-1 = Y-1, where Y₁-1 = E(Y₁|Y₁-1,Y₁-2, ...). (Hint: Review Exercise 2.27.) c. Let u, denote the error in Equation (14.13). Show that cov(u₁,…
State whether you made a Type I error, a Type II error, or the correct conclusion. Children in your community have on average less than 5.2 books at home, and you fail to reject the hypothesis that they have greater than or equal to 5.2 books.
← The worldwide market share for a web browser was 20.2% in a recent month. Suppose that a sample of 120 random students at a certain university finds that 30 use the browser. Complete parts (a) through (d) below. a. At the 0.05 level of significance, is there evidence that the market share for the web browser at the university is greater than the worldwide market share of 20.2%? Determine the null and alternative hypotheses. OA. Ho: x=0.202; H₁: *#0.202 B. Haizz0.202; H:a 0.202 Calculate the test statistic. ZSTAT (Type an integer or a decimal. Round to two decimal places as needed.) =
I have data on the mean price charged for knee replacements (the variable is called, meancharge) at a sample of US hospitals. In STATA, I test whether mean price charge for knee replacement in the population is less than $42.500. The output is shown here. Which of the following statements is false? O. I cannot reject the null hypothesis at the 5% significance level. O. I cannot reject the null hypothesis at the 10% significance level. O. I reject the null hypothesis at the 10% significance level. O. I cannot reject the null hypothesis at the 1% significance level.
In 2017, Philadelphia launched a sweetened beverage tax of 1.5 cents per ounce, raising the cost of a 2-liter soda bottle from about $1.50 to $2.50. One year later, the Philadelphia mayor wants to evaluate if this "sugar tax" improves the health status of Philadelphia Propose ONE method (i.e. difference-in-difference, instrumental variables, or regression discontinuity) to address these questions. write down its implementation details (the type of data you need, potential sources to get the data, equations) its pros and cons Only Typing answer please I need ASAP
You are trying to determine whether or not variables x2 and x3 jointly affect y. You set up a null and alternative hypothesis appropriate to this question. Before forming your test statistic, what are the two models you need to estimate? None of these is the correct pair of models to estimate. y = Bo + B1x1 + B2x2 + B3x3 + B4x4 + u and y = Bo + v y = Bo + B1x1 + B2x2 + B4x4 + w and y = Bo + B1x1 + B3X3 + B4X4 + e y = Bo + B1x1 + B2x2 + B3x3 + B4x4 + u and y = Bo + B1x1 + B4x4 + v
Exercise 3.2 A three-man board, composed of A, B, and C, has held hearings on a personnel case involving an officer of the company. This officer was scheduled for promotion but, prior to final action on his promotion, he made a decision that cost the company a good deal of money. The question is whether he should be (1) promoted anyway, (2) denied the promotion, or (3) fired. The board has discussed the matter at length and is unable to reach unanimous agreement. In the course of the discussion it has become clear to all three of them that their separate opinions are as follows: • A considers the officer to have been a victim of bad luck, not bad judgment, and wants to go ahead and promote him but, failing that, would keep him rather than fire him. ⚫ B considers the mistake serious enough to bar promotion altogether; he'd prefer to keep the officer, denying promotion, but would rather fire than promote him. ⚫ C thinks the man ought to be fired but, in terms of personnel policy and…
Without running any additional tests, what can you say about the joint significance of all independent variables in the model? Which statistic(s) helps you to answer this question?

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