Question

In: Economics

The data below is the total spending (in millions of dollars) on drugs and other non-durable...

The data below is the total spending (in millions of dollars) on drugs and other non-durable products for your assigned state (or DC). You need to convert this data to spending per capita in constant 2019 dollars.

Go to the FRED database at https://fred.stlouisfed.org/

Search for the PCEPI. Change the frequency to annual. Using that price index (this is a national index; there isn't a PCE index for each state), convert the following to 2019Q3 dollars.

Again using the FRED database, find the population for your state. The symbol is usually the two letter abbreviation for the state and POP. New York, for example, would be NYPOP.

Using this information, covert the spending below into spending per capita, in 2019Q3 dollars. Keep in mind that the values below are in millions of dollars and you want your answers in dollars.

Enter your results for every even-numbered year in the answer

Your assigned state:

Alaska

Year Total spending on drugs and other non-durable products (millions of dollars)
1991 142
1992 149
1993 153
1994 162
1995 156
1996 179
1997 209
1998 229
1999 262
2000 290
2001 317
2002 358
2003 411
2004 425
2005 455
2006 499
2007 531
2008 524
2009 503
2010 485
2011 480
2012 468
2013 430
2014 471

Solutions

Expert Solution

Steps:

1. Populate year and Total spending on drugs and other non-durable products (millions of dollars) data in column A and B respectively.

2. Download and update PCEPI data fill 2018 and 2019Q3 as shown in column C (base year = 2012)

3. Convert the PCEPI into 2019Q3 base by multiplying downloaded series by 100 and dividing by 2019Q3 number (i.e., 109.927)

4. Convert total spending on drugs and other non-durable products (millions of dollars) into 2019Q3 dollars by multiplying spending for each year with corresponding PCEPI and dividing by 100 (since 2019Q3 is converted as 100).

5. Download population data for Alaska (expressed in thousands) as shown in column F

6. Calculate per capita expenditure on drugs and other non-durable products by multiplying column E by 1000 and dividing by column F, since spending on drugs and other non-durable is in million dollars and population in thousands.

The required table for even-numbered years is as follows:

The formula view of the spreadsheet is as follows:


Related Solutions

Listed below are the budgets​ (in millions of​ dollars) and the gross receipts​ (in millions of​...
Listed below are the budgets​ (in millions of​ dollars) and the gross receipts​ (in millions of​ dollars) for randomly selected movies. Answer parts ​a-c. Budget (x)   Gross (y) 63   60 93   66 45   51 31   57 203   624 105   143 90   46 a. Find the value of the linear correlation coefficient b. Find the critical values of r from the table showing the critical values for the Pearson correlation coefficient using α=0.05. c. Is there sufficient evidence to conclude that...
Listed below are the budgets​ (in millions of​ dollars) and the gross receipts​ (in millions of​...
Listed below are the budgets​ (in millions of​ dollars) and the gross receipts​ (in millions of​ dollars) for randomly selected movies. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the​ P-value using alphaequals0.05. Is there sufficient evidence to conclude that there is a linear correlation between budgets and gross​ receipts? Do the results change if the actual budgets listed are ​$60,000,000​, ​$91,000,000​, ​$48,000,000​, and so​ on? Budget​ (x) 60 91 48 40 196 100...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant negative linear correlation between advertising cost and profit . Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost Profit 3 18 4 22 5 16 6 29 7 24 8 31 9 22 10 29 11 25 Ho: ρ = 0 Ha: ρ < 0...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant positive linear correlation between advertising cost and profit . Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost Profit 3 23 4 29 5 28 6 21 7 29 8 32 9 21 Ho: ρ = 0 Ha: ρ > 0 Find the Linear Correlation...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and...
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant linear correlation between advertising cost and profit . Use a significance level of 0.01 and round all values to 4 decimal places. Advertising CostProfit 323 422 523 626 723 825 919 1025 1133 Ho: ρ = 0 Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value...
8. Listed below are the budgets​ (in millions of​ dollars) and the gross receipts​ (in millions...
8. Listed below are the budgets​ (in millions of​ dollars) and the gross receipts​ (in millions of​ dollars) for randomly selected movies. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the​ P-value using a=0.05. Is there sufficient evidence to conclude that there is a linear correlation between budgets and gross​ receipts? Do the results change if the actual budgets listed are ​$63000000. $85000000, $45000000, and so on Budget_(x)         Gross_(y) 63           66 85           69 46          ...
1. Listed below are the budgets​ (in millions of​ dollars) and the gross receipts​ (in millions...
1. Listed below are the budgets​ (in millions of​ dollars) and the gross receipts​ (in millions of​ dollars) for randomly selected movies. . Budget​ (x) 64 87 47 31 199 99 85 Gross​ (y) 67 60 49 56 630 143 47 Find the value of the linear correlation coefficient r. 2. For a sample of eight​ bears, researchers measured the distances around the​ bears' chests and weighed the bears. Calculator was used to find that the value of the linear...
listed below are the budgets in million of dollars and the gross receipts in millions of...
listed below are the budgets in million of dollars and the gross receipts in millions of dollars for randomly selected movies. budget x: 61, 92, 54, 37, 202, 105, 93 gross receipts: 64, 66, 52, 62, 543, 148, 51 a. find the value of the linear correlation coefficient r. b.find the p value for this hypothesis test for linear correlation. c. is there sufficient evidence to conclude yhqt there is a libeqr relatiibship between budgets and gross receipys? use level...
1- Listed below are the amounts of net worth​ (in millions of​ dollars) of the ten...
1- Listed below are the amounts of net worth​ (in millions of​ dollars) of the ten wealthiest celebrities in a country. Construct a 9999​% confidence interval. What does the result tell us about the population of all​ celebrities? Do the data appear to be from a normally distributed population as​ required? 251251 199199 187187 162162 162162 157157 146146 146146 141141 141141 What is the confidence interval estimate of the population mean muμ​? ​$nothing millionless than<muμless than<​$nothing million ​(Round to one...
Listed below are the amounts of net worth (in millions of dollars) of the ten wealthiest...
Listed below are the amounts of net worth (in millions of dollars) of the ten wealthiest celebrities in a country. Construct a 90% confidence interval. What does the result tell us about the population of all celebrities? Do the data appear to be from a normally distributed population as required? 241, 195, 188,171,164,154,151,151,151,146 What is the confidence interval estimate of the population mean u? $ __ million< u <$__ milion round to one decimal place as needed
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT