Where wage is average hourly earnings, educ is years of education, exper is years of experience,
and tenure is the years with the current employer.
model.
a. Estimate this model using STATA and interpret the coefficients of your estimated
Which of the independent variables in this model are statistically significant at the 5%
level? Explain and show all work.
b. What is the highest level of significance in which you could reject the null hypothesis
that exper is not statistically significant? Explain and be clear.
Determine if exper and tenure are jointly significant determinants of wage. Explain your
process and be clear.
c. Do you believe the estimates ascertained from this model may be biased? Why or why
If a researcher desires a percentage change interpretation of the model's estimated
coefficients, which functional form transformation should be used and why?
regression model with the appropriate transformation.
d. Determine if exper and tenure are jointly significant determinants of wage. Explain your
process and be clear.
e. Do you believe the estimates ascertained from this model may be biased? Why or why not?
f. researcher desires a percentage change interpretation of the model's estimated
coefficients, which functional form transformation should be used and why?
regression model with the appropriate transformation.
g.Suppose a researcher is interested in the impact of gender on the return to education.
Explain how this researcher can implement a change to this model to produce this
outcome
h. Is there evidence of heteroskedasticity? If so, what are the implications of this
heteroskedasticity
An investigator wanted to compare two different training methods on the performance of a particular task. He recruited 20 students and randomly assigned them to either Training Method 1 or Training Method 2. The following results were obtained, where higher scores indicate better performance. Assume that the scores are from an ordinal measure. Do the training methods differ? Identify the type of test: a chi-square goodness of fit test (equivalent proportions), a chi-square goodness of fit test (population proportions), a chi-square test of independence, a Mann Whitney U test, and a Wilcoxon signed ranks test Method 1 Method 2 8 3 11 8 13 10 12 20 9 15 12 10 12 7 11 14 13 9 61. For each study below, Indicate which Chi-Square procedure would be used: adults who consume alcohol. A survey asked a nationally representative sample of adults which of three sicoholic beverages: beer, wine, or liquor they drink most often. The research question was which beverage was the favored drink of O Chi-Square Test of Association Chi-Square Goodness-of-Fit Test A research article described a random sample of 584 smokers who tried to quit smoking by using either a nicotine patch or e-cigarettes (fake cigarettes producing nicotine in water vapor form). After six months, 7.3 percent of those using e-cigarettes had stopped smoking, compared with 5.8 percent of those wearing the patch, The researchers wanted to knowhether quitting was airoclated with the method used Chi-Square Goodness-of-Fit Test O Chi-Square Test of AssociationA company says its premium mixture of nuts contains 7% Brazil nuts, 19% cashews, 19% almonds, and 13%% hazelnuts, and the rest are peanuts. You buy a large can and separate the various kinds of nuts. Upon weighing them, you find there are 110 grams of Brazil nuts, 180 grams of cashews, 206 grams of almonds, 72 grams of hazelnuts, and 439 grams of peanuts. You wonder whether your mix is significantly different from what the company advertises. a) Explain why the chi-square goodness-of-fit test is not an appropriate way to find out. bj What might you do instead of weighing the nuts in order to use a test? a) Explain why the chi-square goodness-of-fit bost is not an appropriate way to find out. O A. The chi-square goodness-of-fit test can only be used on quantitative variable, weights are counts, not quantitative variables. O B. The chi-square goodness-of-fit test cannot be use to test this kind of claim. O C. The chi-square goodness-of-fit test can only be used on counts, weights are quantitative, not counts. O D. The expected values are percentages, and the actual values are not. Therefore the chi-square goodness-of-fit test cannot be used. Contents "b) What might you do instead of weighing the nuts in order to use a test? ia Librai O A. Count the number of each kind of nut, assuming the company's percentages are based on counts rather than weights. O B. Find the volume of each kind of nut, assuming the company's percentages are based on volume. Options O C. There is no way of performing a test without using weight. success
