Age-adjusted death rates are used in the comparison of two populations in order to: a. Reduce or eliminate effects of differences in age distributions b. Correct death rates for missing age data c. Correct death rates of errors in age data d. All of the above e. None of the above

Need help ASAP, will give thumbs up:   QUESTION: If you can use data from all of the Census years listed above, what is the best estimate of the permanent wage difference (measured in percentage points of the average wage of U.S. -born workers) between the following two immigrant cohorts: 1975-1979 arrivals and 1985-1989 arrivals? ANSWER CHOICES: 10 15 20 25 40

Consider the following two sample data sets. Set 1: 7 5 3 8 9 Set 2: 8 13 14 2 5     a. Calculate the coefficient of variation for each data set. b. Which data set has less consistency​ (or more​ variability)?

Which one of these is NOT something that would be included in the Methods section of a research report? a. data regarding the reliability and validity of any measures used b. information regarding preregistration of the study c. details of the statistical analyses d. justification for sample size used in the study

4.  A set of data has a five number summary of:  10   30   35   40   70 Which of the following is the inter-quartile range (IQR) of this data set? Group of answer choices 35 15 10 60

How many sources of between-group variation are measured in a two-way between-subjects ANOVA? Group of answer choices a. 4 b. 2 c. 3 d. 5

Given the following dataset which represents a sample ( n = 8) from a larger population: 188 122 147 45 66 190 167 91 What is the median?

Given the following list of data, what is the five-number summary?110, 111, 140, 190, 199, 204, 238, 270, 279, 310, 320 Select the correct answer below:   Min Q1 Median Q3 Max 100 140 204 279 350   Min Q1 Median Q3 Max 110 111 204 279 300   Min Q1 Median Q3 Max 110 140 204 279 320

4) What do you infer from the odds ratio about the relationship between smoking and lung cancer?

The questions below are based on a dataset containing the characteristics of 5,407households. In particular, we will use the following variables:- size: home size, measured in square feet.- hhinc: annual household net income, measured in euros.- owner: dummy variable equal to 1 if the living space is owned, and 0 if the livingspace is rented.- hhsize1: dummy variable equal to 1 if the number of household’s members is 1 or2, and 0 otherwise.- hhsize2: dummy variable equal to 1 if the number of household’s members is 3 or4, and 0 otherwise.- hhsize3: dummy variable equal to 1 if the number of household’s members is 5 orabove 5, and 0 otherwise.- edu: education level of household’s members. We conduct a simple regression of size on hhinc, now using robust standard errors.The regression output is reported in Table 2. Why are the estimated coefficients inTable 2 equal to the estimated coefficients in Table 1? Do the conclusions on thestatistical significance at 5% of the coefficient of…