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If there was a baby boom of Oompa Loompas ready to work for free, what will happen to the Willy Wonka chocolate market?  A few things to think about:  Has this affected supply or demand of Willy Wonka Chocolate?  What has happened to the price of Willy Wonka chocolate? Please justify your answer by graphing the change in either supply or demand, as well as the change in price.

Only data that shows positive trends can be graphed in a scatter diagram. True O False

The bar graph shows median yearly earnings of full-time workers in the United States for people 25 years and over with a college education, by final degree earned. (See the attached graph.) The median yearly salary of an American whose final degree is a master’s is $70 thousand less than twice that of an American whose final degree is a bachelor’s. Combined, two people with each of these educational attainments earn $173 thousand. Find the median yearly salary of Americans with each of these final degrees.

Please see picture. Need this asap please and thank you.

In 2014, the median salary nationwide for a high school teacher was $56,310 per year. The median annual wage for all workers was $35,540.SOURCE: United States. Department of Labor. "High School Teachers." Occupational Outlook Handbook. 17 Dec. 2015. Web. 7 March 2016. Suppose a worker makes $29,000 in wages per year. Find the percent increase in salary the worker can expect if he/she trains to be a teacher and can expect to earn a salary of $40,000. Enter your response to the nearest 0.1% %

Please draw graphs on piece of paper.

In 2014, the median salary nationwide for a high school teacher was $56,310 per year. The median annual wage for all workers was $35,540.SOURCE: United States. Department of Labor. "High School Teachers." Occupational Outlook Handbook. 17 Dec. 2015. Web. 7 March 2016. Suppose a worker makes $28,000 in wages per year. Find the percent increase in salary the worker can expect if he/she trains to be a teacher and can expect to earn a salary of $54,000

The stacked column graph below shows additional information from the Bureau of Labor Statistics¹ about employment and education for two groups of workers in the United States compared with the graph discussed in the in-class activity. This graph includes data about workers aged 65 and older. Percentage Employment distribution of workers by education 1997 and 2007 2007 Age 65 and older Pocholode higher's degree. college or associate graduates college mless than a high school. diploma Part A: Use the graph to estimate the following information for the Age 65 and older group and complete the following table. 2007 Age 65 and older 1997 % % % % % % Bachelor's degree or higher Some college or associate degree High school graduates, no college % % Less than a high school diploma % AP % Total

Continue monitoring the process. A second ten days of data have been collected, see table labeled “2nd 10 Days of Monitoring Reservation Processing Time” in the Data File. Develop Xbar and R charts for the 2nd 10 days of monitoring. Plot the data for the 2nd 10 days on the Xbar and R charts. Is the reservation process for the 2nd 10 days of monitoring in control?  If the control chart indicates an out-of-control process, note which days, the pattern, and whether it is the Xbar or R chart.   Based on the X-bar and R Charts that you developed for the 2nd 10 days of data, is the process in control?   Group of answer choices No. The X-bar and R Charts are both out of control. No. The X-bar Chart is in control, but the R Chart is out of control. No. The R Chart is in control, but the X-bar Chart is out of control. Yes. The X-bar and R Charts are both in control.

The graph shown below represents how the 2011 graduates of law school are doing compared to the 2007 graduates. Both the 2011 and 2007 graduating class had about 44,000 students. 80.0% 70.0% 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% 2007 2011 Employment for New Law Grads Class of 2007 vs. Class of 2011 Pt. I (National Association of Legal Placement) Full-Time Lawyer 74.1% 59.8% Full-Time Non- Lawyer 11.8% 14.9% % Part Time 4.1% 10.0% Not Working 5.8% 12.1% (a) What percentage of those Not Working in this study graduated in 2011? Note: 12.1% is not the correct answer. This does require a calculation. Back in School 2.3% 2.2% Report the answer to the nearest tenth of a percent. (b) Show calculations and explain your reasoning for this question.

Spring is a peak time for selling houses. Suppose the data below contains the selling price, number of bathrooms, square footage, and number of bedrooms of 26 homes sold in Ft. Thomas, Kentucky, in spring 2018. Selling Price Baths Sq Ft Selling Price 160,000 170,000 178,000 182,500 195,100 212,500 245,900 250,000 255,000 258,000 267,000 268,000 275,000 1.5 1,786 2 1,768 1 1,219 1 1,578 1.5 1,125 2 1,196 2 2,128 N W 3 2 1,280 1,596 3.5 2,374 2.5 2,439 2 1,470 2 1,688 Beds 3 3 3 2 3 2 3 3 3 4 3 4 4 295,000 325,000 325,000 328,400 331,000 344,500 365,000 385,000 395,000 399,000 430,000 430,000 454,000 Baths Sq Ft 2.5 1,860 3 2,056 3.5 2,776 2 1,408 1.5 1,972 2.5 1,736 2.5 1,990 2.5 3,640 2.5 1,928 2 2,108 2 2,462 2 2,615 3.5 3,700 Beds 3 4 4 4 3 3 4 4 4 3 4 4 4 Consider the estimated regression equation we developed that can be used to predict the selling price given the number of bathrooms, square footage, and number of bedrooms in the house. (x, denotes number of bathrooms, x₂ denotes…

In 2011 home prices and mortgage rates dropped so low that in a number of cities the monthly cost of owning a home was less expensive than renting. The following data show the average asking rent for 10 markets and the monthly mortgage on the median priced home (including taxes and insurance) for 10 cities where the average monthly mortgage payment was less than the average asking rent (The Wall Street Journal, November 26–27, 2011).Click on the datafile logo to reference the data.     Enter negative values as negative numbers. a.  Develop the estimated regression equation that can be used to predict the monthly mortgage given the average asking rent (to 2 decimals).The regression equation is:Mortgage ($) =  +  Rent ($)

a. Make the case with graphs and numbers that women are a growing presence in the U.S. military. b. Make the case with graphs and numbers that women are a declining presence in the U.S. military. c. Write a paragraph that gives a balanced picture of the changing presence of women in the military using appropriate statistics to make your points. What additional data would be helpful?

(Please do not give solution in image format thanku)

Sub ques iv and b

The following data represents the prices of gasoline in the United States from 2004 to 2010.                                                     YEAR                     GAS PRICE                                                     2004                          $1.88                                                     2005                          $2.30                                                     2006                          $2.59                                                     2007                          $2.80                                                     2008                          $3.27                                                     2009                          $2.35                                                     2010                          $2.79   Construct a line graph as if you were a representative of the oil company. EXPLAIN THE REASONING for your construction. Construct a line graph as if you were representing a consumer advocacy group.…

The bar graph shows median yearly earnings of full-time workers in the United States for people 25 years and over with a college education, by final degree earned. (See the attached graph). The median yearly salary of an American whose final degreeis a doctorate is $45 thousand less than twice that of an American whose final degree is a bachelor’s. Combined, two people with each of these educational attainments earn $198 thousand. Find the median yearly salary of Americans with each of these final degrees.

So I'll include a line graph for a second visual aid. I have a chart to show the proportion of students by major that have student loan debt at our school.

2. Use the graph below to answer the items that follow: pain_data$sex -0- female male A В C Treatment Type a. Is there a main effect of Sex? Explain b. Is there a main effect of Treatment? Explain. c. Is there an interaction between Sex and Treatment? Explain. Time (in minutes) 15 25 35 07

The table below shows a recent graduate's credit card balance each month after graduation. Month 1 2 3 4 5 6 7 8 Debt ($) 620.00 761.88 899.80 1039.93 1270.63 1589.04 1851.31 2154.92 a) Look at the graph on your calculator. Based on this graph, what type of equation should represent this situation? Explain your answer. b) Use your calculator to find the equation that you feel best fits this data. What is the equation? c)  Based on this equation, what is the predicted amount of debt for month 9 after graduation?     View keyboard shortcuts   EditViewInsertFormatToolsTable 12pt   Paragraph

The table below shows a recent graduate's credit card balance each month after graduation. Month 1 2 3 4 5 6 7 8 Debt ($) 620.00 761.88 899.80 1039.93 1270.63 1589.04 1851.31 2154.92 a) Look at the graph on your calculator. Based on this graph, what type of equation should represent this situation? Explain your answer. b) Use your calculator to find the equation that you feel best fits this data. What is the equation? c)  Based on this equation, what is the predicted amount of debt for month 9 after graduation?

Q5.

A research study recorded the out-of-state tuition fees for a sample of public and for-profit colleges in the United States, and the results can be downloaded from the data file Tuition. Summarize this data by creating histograms with StatKey, and submit your graph as a PDF. When creating your graphs, please make sure the number of buckets is set to 10.

both please   options for fill in the blank are: 1. is/is not 2. does/does not 3. only the amount in excess of $9275/entire amount of your earnings 4. greater/less