FQ stands for the fresh quantitythe number of tons of fresh (not frozen) tuna exchanged in the market in the given month. FP stands for the fresh price. D stands for domestic (which in this context means in Japan) while I is international.

I’m studying for my Economics class and don’t understand how to answer this. Can you help me study?QUESTION 1This data is from the following research article on tuna sales in Japan.BFT stands for Bluefin Tuna. FQ stands for the fresh quantity- the number of tons of fresh (not frozen) tuna exchanged in the market in the given month. FP stands for the fresh price. D stands for domestic (which in this context means in Japan) while I is international.* * * * *I don’t know squat about the tuna harvest, but the article tells me the quantities are in metric tons. A Z-score is a great way to summarize data for variables that we don’t really have a feel for. If someone tells you that some number of tons were hauled in by sellers this month, that probably doesn’t mean much to you, but if we convert it to Z’s we can tell if that’s a lot.Use bft_fq_i to find the Z-score for 500 metric tons.2 points QUESTION 2This data is from the following research article on tuna sales in Japan.BFT stands for Bluefin Tuna. FQ stands for the fresh quantity- the number of tons of fresh (not frozen) tuna exchanged in the market in the given month. FP stands for the fresh price. D stands for domestic (which in this context means in Japan) while I is international.* * * * *Unfortunately prices are in Yen per kilogram. There are about 100 yen per dollar, and 2.2 pounds per kilogram, so to combine we should divide each price by 220. The original price is bft_fp_d; let’s rename the converted price price_jp.What command lets us sum up a variable by values of another variable?Find the average of price_jp in June. (Meaning the average price in all 14 Junes- use the function from last week to crank this out.)2 points QUESTION 3There are two variables in the data that contain prices: bft_fp_d and bft_fp_i. We converted the first one into price_jp so let’s make the second one into price_int, again converting by dividing the price by 220.Create a new variable called price_combined that is the “average” of these two variables. (Just add them and divide it by two. Yes, a weighted average would be better, but we are keeping things really simple.)What is the IQR of this new variable?2 points QUESTION 4There are two variables in the data that contain quantities: bft_fq_d and bft_fq_i.Create a new variable called quant_total that is the sum of these two variables.What is the median of this new variable?2 points QUESTION 5This data is from the following research article on tuna sales in Japan. Load the Bluefin Tuna data (Bluefin_short.csv).BFT stands for Bluefin Tuna. FQ stands for the fresh quantity- the number of tons of fresh (not frozen) tuna exchanged in the market in the given month. FP stands for the fresh price. D stands for domestic (which in this context means in Japan) while I is internationalFind the correlation between quant_total and price_combined in summer.2 points QUESTION 6Calculate the SQUARE ROOT of the following mathematical expression using Stata:4(99/31)log(5.44)+122 points QUESTION 7Use the Fragile Families data for the next few problems.What is the overall correlation between the mother’s age (mom_age) and her income (mom_income)? Be accurate to within at least 0.01; as always, you can enter as many digits past that as you like.2 points QUESTION 8Use the Fragile Families data for the next few problems.The Fragile Familes data was created to investigate the conditions and capabilities of unmarried parents. They did include a sample of married folks to provide grounds for comparison.Limiting the data to the married sample (for whom married==1), what is the correlation between the mother’s age (mom_age) and her income (mom_income)? Be accurate to within at least 0.01; as always, you can enter as many digits past that as you like.2 points QUESTION 9Use the Fragile Families data for the next few problems.What is the median income (mom_income) in this data? Be accurate to within at least 0.01; as always, you can enter as many digits past that as you like.2 points QUESTION 10Use the Fragile Families data for the next few problems.Using the median income, make a new variable called hi_inc that is 1 if the mother’s income is greater or equal to the median, and 0 otherwise. What % of the data are in the high income group (i.e. hi_inc is 1)? Enter the precise answer below, i.e. if the answer is 12.34%, enter 12.34 below.2 points QUESTION 11Use the Fragile Familes data for this problem.Find the 95th percentile of the number of years the mother has lived in her current neighborhood (years_home). Be accurate to within at least 0.01; as always, you can enter as many digits past that as you like.2 points QUESTION 12Use the Fragile Familes data for this problem.Limiting the data to the married sample (for whom married==1) calculate the IQR of the number of years the mother has lived in her current neighborhood. Be accurate to within at least 0.01; as always, you can enter as many digits past that as you like.2 points QUESTION 13One characteristic of the Fragile Families data is that there are no missing values. For all of nearly 5000 interviews, if someone didn’t want to ask a question, or if it wasn’t appropriate (like a question about someone who’s partner died) they put in -3 if the information is “missing” and -6 if the question was skipped. Basically, any negative value indicates missing data. To fix that we will replace negative numbers with the “.” character, as follows:replace years_home = . if years_home