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UMUC Algebra Linear Project Worksheet
Curve-fitting Project - Linear Model (due at the end of Week 5)InstructionsFor this assignment, collect data exhibiting a ...
UMUC Algebra Linear Project Worksheet
Curve-fitting Project - Linear Model (due at the end of Week 5)InstructionsFor this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports, your work, a hobby, or something you find interesting. If you choose, you may use the suggestions described below. A Linear Model Example and Technology Tips are provided in separate documents.Tasks for Linear Regression Model (LR)(LR-1) Describe your topic, provide your data, and cite your source. Collect at least 8 data points. Label appropriately. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data.) The idea with the discussion posting is two-fold: (1) To share your interesting project idea with your classmates, and (2) To give me a chance to give you a brief thumbs-up or thumbs-down about your proposed topic and data. Sometimes students get off on the wrong foot or misunderstand the intent of the project, and your posting provides an opportunity for some feedback. Remark: Students may choose similar topics, but must have different data sets. For example, several students may be interested in a particular Olympic sport, and that is fine, but they must collect different data, perhaps from different events or different gender.(LR-2) Plot the points (x, y) to obtain a scatterplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually judge whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different topic or data set.)(LR-3) Find the line of best fit (regression line) and graph it on the scatterplot. State the equation of the line.(LR-4) State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two.(LR-5) Find and state the value of r2, the coefficient of determination, and r, the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent?(LR-6) Choose a value of interest and use the line of best fit to make an estimate or prediction. Show calculation work.(LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, line, r, or estimate, etc.) that you found particularly important or interesting. You may submit all of your project in one document or a combination of documents, which may consist of word processing documents or spreadsheets or scanned handwritten work, provided it is clearly labeled where each task can be found. Be sure to include your name. Projects are graded on the basis of completeness, correctness, ease in locating all of the checklist items, and strength of the narrative portions.Here are some possible topics: Choose an Olympic sport -- an event that interests you. Go to https://www.olympic.org/olympic-results and collect data for winners in the event for at least 8 Olympic games (dating back to at least 1980). (Example: Winning times in Men's 400 m dash). Make a quick plot for yourself to "eyeball" whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different event.) After you find the line of best fit, use your line to make a prediction for the next Olympics (2014 for a winter event, 2016 for a summer event ).Choose a particular type of food. (Examples: Fish sandwich at fast-food chains, cheese pizza, breakfast cereal) For at least 8 brands, look up the fat content and the associated calorie total per serving. Make a quick plot for yourself to "eyeball" whether the data exhibit a relatively linear trend. (If so, proceed. If not, try a different type of food.) After you find the line of best fit, use your line to make a prediction corresponding to a fat amount not occurring in your data set.) Alternative: Look up carbohydrate content and associated calorie total per serving.Choose a sport that particularly interests you and find two variables that may exhibit a linear relationship. For instance, for each team for a particular season in baseball, find the total runs scored and the number of wins. Excellent websites: http://www.databasesports.com/ and http://www.baseball-reference.com/
For this discussion, complete the following tasks: Write two linear equations with two variables that model something from your daily life. Solve the system of equations in two ways. Discuss which method you liked better and why. In your responses to pee
For this discussion, complete the following tasks:
Write two linear equations with two variables that model something f ...
For this discussion, complete the following tasks: Write two linear equations with two variables that model something from your daily life. Solve the system of equations in two ways. Discuss which method you liked better and why. In your responses to pee
For this discussion, complete the following tasks:
Write two linear equations with two variables that model something from your daily life.
Solve the system of equations in two ways.
Discuss which method you liked better and why.
statistcs question
Problem 1 You wish to determine the GPA of students at your school. Describe whatprocess you would go through to collect ...
statistcs question
Problem 1 You wish to determine the GPA of students at your school. Describe whatprocess you would go through to collect a sample if you use a systematic sample. Problem 2 The number of deaths in the US due to carbon monoxide (CO) poisoning fromgenerators from the years 1999 to 2011 are in table #1 (Hinatov, 2012). Create a bar chart and pie chart of this data. State any findings you see from the graph. Table #1: Data of Number of Deaths Due to CO Poisoning Region Number of deaths from CO while using a generator Urban Core 401 Sub-Urban 97 Large Rural 86 Small Rural/Isolated 111 Problem 3 The density of people per square kilometer for African countries is in table#2 ("Density of people," 2013). a.) Create a frequency distribution, relativefrequency distribution, and cumulative frequency distribution using 8 classes. b.) Create a histogram for the data in table #2.Describe the shape and any findings you can from the graph. c.) Create an ogive for the data in table #2. Describe any findings you can from the graph. Table #2: Data of Density of People per Square Kilometer 15 16 81 3 62 367 42 123 8 9 337 12 29 70 39 83 26 51 79 6 157 105 42 45 72 72 37 4 36 134 12 3 630 563 72 29 3 13 176 341 415 187 65 194 75 16 41 18 69 49 103 65 143 2 18 31 Problem 4 The World Bank collects information on the life expectancy of a person in eachcountry ("Life expectancy at," 2013) and the fertility rate per woman in thecountry ("Fertility rate," 2013). The data for 24 randomly selected countries forthe year 2011 are in table #3. Create a scatter plot of the data and state if thereappears to be a relationship between life expectancy and the number of births perwoman. Table #3: Data of Life Expectancy versus Fertility Rate Life Expectancy Fertility Rate Life Expectancy Fertility Rate 77.2 1.7 72.3 3.9 55.4 5.8 76.0 1.5 69.9 2.2 66.0 4.2 76.4 2.1 55.9 5.2 75.0 1.8 54.4 6.8 78.2 2.0 62.9 4.7 73.0 2.6 78.3 2.1 70.8 2.8 72.1 2.9 82.6 1.4 80.7 1.4 68.9 2.6 74.2 2.5 81.0 1.5 73.3 1.5 54.2 6.9 67.1 2.1 Problem 5 Cholesterol levels were collected from patients two days after they had a heartattack (Ryan, Joiner & Ryan, Jr, 1985) and are in table #4. Find the mean,median, range, variance, and standard deviation using technology. Table #4: Cholesterol Levels 270 236 210 142 280 272 160 220 226 242 186 266 206 318 294 282 234 224 276 282 360 310 280 278 288 288 244 236 Problem 6 Eyeglassomatic manufactures eyeglasses for different retailers. They test to seehow many defective lenses they made in a time period. Table #5 gives thedefect and the number of defects. Table #5: Number of Defective Lenses Defect type Number of Defects Scratch 5865 Right shaped – small 4613 Flaked 1992 Wrong axis 1838 Chamfer wrong 1596 Crazing, cracks 1546 Wrong shape 1485 Wrong PD 1398 Spots and bubbles 1371 Wrong height 1130 Right shape – big 1105 Lost in lab 976 Spots/bubble – intern 976 a.) Find the probability of picking a lens that is scratched or flaked. b.) Find the probability of picking a lens that is the wrong PD or was lost in lab. c.) Find the probability of picking a lens that is not scratched. d.) Find the probability of picking a lens that is not the wrong shape. Problem 7 According to an article in the American Heart Association’s publicationCirculation, 24% of patients who had been hospitalized for an acute myocardialinfarction did not fill their cardiac medication by the seventh day of beingdischarged (Ho, Bryson & Rumsfeld, 2009). Suppose there are twelve peoplewho have been hospitalized for an acute myocardial infarction. a.) State the random variable. b.) Argue that this is a binomial experiment Find the probability that c.) All filled their cardiac medication. d.) Seven did not fill their cardiac medication. e.) None filled their cardiac medication. f.) At most two did not fill their cardiac medication. Problem 8 The mean starting salary for nurses is $67,694 nationally ("Staff nurse -," 2013).The standard deviation is approximately $10,333. Assume that the starting salaryis normally distributed. a.) State the random variable. b.) Find the probability that a starting nurse will make more than $80,000. c.) Find the probability that a starting nurse will make less than $60,000. d.) If a nurse made less than $50,000, would you think the nurse was under paid? Why or why not? Problem 9 The WHO MONICA Project collected blood pressure data for people in China (Kuulasmaa, Hense&Tolonen, 1998). Data based on information from the study is in table #6. Determine if the data is from a population that is normallydistributed. Table #6: Blood Pressure Values for People in China 114 141 154 137 131 132 133 156 119 138 86 122 112 114 177 128 137 140 171 129 127 104 97 135 107 136 118 92 182 150 142 97 140 106 76 115 119 125 162 80 138 124 132 143 119 Problem 10 The size of fish is very important to commercial fishing. A study conducted in2012 found the length of Atlantic cod caught in nets in Karlskrona to have a meanof 49.9 cm and a standard deviation of 3.74 cm (Ovegard, Berndt &Lunneryd, 2012). The length of fish is normally distributed. A sample of 15 fish is taken. a.) State the random variable. b.) Find the mean and standard deviation of the sample mean. c.) Find the probability that the sample mean length of the Atlantic cod is lessthan 52 cm. d.) Find the probability that the sample mean length of the Atlantic cod is morethan 74 cm. e.) If you found sample mean length for Atlantic cod to be more than 74 cm, whatcould you conclude?
ASALLC Concrete Foundation for a Residential Building Project Worksheet
Refer to Sheets1, 2, 3, and 5 from the Marseille residential building plans in the Large Prints supplement to answer the
...
ASALLC Concrete Foundation for a Residential Building Project Worksheet
Refer to Sheets1, 2, 3, and 5 from the Marseille residential building plans in the Large Prints supplement to answer the
following questions. Complete Activity 10-2 complete the questions and fill in the answers on the form and save as a pdf
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UMUC Algebra Linear Project Worksheet
Curve-fitting Project - Linear Model (due at the end of Week 5)InstructionsFor this assignment, collect data exhibiting a ...
UMUC Algebra Linear Project Worksheet
Curve-fitting Project - Linear Model (due at the end of Week 5)InstructionsFor this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports, your work, a hobby, or something you find interesting. If you choose, you may use the suggestions described below. A Linear Model Example and Technology Tips are provided in separate documents.Tasks for Linear Regression Model (LR)(LR-1) Describe your topic, provide your data, and cite your source. Collect at least 8 data points. Label appropriately. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data.) The idea with the discussion posting is two-fold: (1) To share your interesting project idea with your classmates, and (2) To give me a chance to give you a brief thumbs-up or thumbs-down about your proposed topic and data. Sometimes students get off on the wrong foot or misunderstand the intent of the project, and your posting provides an opportunity for some feedback. Remark: Students may choose similar topics, but must have different data sets. For example, several students may be interested in a particular Olympic sport, and that is fine, but they must collect different data, perhaps from different events or different gender.(LR-2) Plot the points (x, y) to obtain a scatterplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually judge whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different topic or data set.)(LR-3) Find the line of best fit (regression line) and graph it on the scatterplot. State the equation of the line.(LR-4) State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two.(LR-5) Find and state the value of r2, the coefficient of determination, and r, the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent?(LR-6) Choose a value of interest and use the line of best fit to make an estimate or prediction. Show calculation work.(LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, line, r, or estimate, etc.) that you found particularly important or interesting. You may submit all of your project in one document or a combination of documents, which may consist of word processing documents or spreadsheets or scanned handwritten work, provided it is clearly labeled where each task can be found. Be sure to include your name. Projects are graded on the basis of completeness, correctness, ease in locating all of the checklist items, and strength of the narrative portions.Here are some possible topics: Choose an Olympic sport -- an event that interests you. Go to https://www.olympic.org/olympic-results and collect data for winners in the event for at least 8 Olympic games (dating back to at least 1980). (Example: Winning times in Men's 400 m dash). Make a quick plot for yourself to "eyeball" whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different event.) After you find the line of best fit, use your line to make a prediction for the next Olympics (2014 for a winter event, 2016 for a summer event ).Choose a particular type of food. (Examples: Fish sandwich at fast-food chains, cheese pizza, breakfast cereal) For at least 8 brands, look up the fat content and the associated calorie total per serving. Make a quick plot for yourself to "eyeball" whether the data exhibit a relatively linear trend. (If so, proceed. If not, try a different type of food.) After you find the line of best fit, use your line to make a prediction corresponding to a fat amount not occurring in your data set.) Alternative: Look up carbohydrate content and associated calorie total per serving.Choose a sport that particularly interests you and find two variables that may exhibit a linear relationship. For instance, for each team for a particular season in baseball, find the total runs scored and the number of wins. Excellent websites: http://www.databasesports.com/ and http://www.baseball-reference.com/
For this discussion, complete the following tasks: Write two linear equations with two variables that model something from your daily life. Solve the system of equations in two ways. Discuss which method you liked better and why. In your responses to pee
For this discussion, complete the following tasks:
Write two linear equations with two variables that model something f ...
For this discussion, complete the following tasks: Write two linear equations with two variables that model something from your daily life. Solve the system of equations in two ways. Discuss which method you liked better and why. In your responses to pee
For this discussion, complete the following tasks:
Write two linear equations with two variables that model something from your daily life.
Solve the system of equations in two ways.
Discuss which method you liked better and why.
statistcs question
Problem 1 You wish to determine the GPA of students at your school. Describe whatprocess you would go through to collect ...
statistcs question
Problem 1 You wish to determine the GPA of students at your school. Describe whatprocess you would go through to collect a sample if you use a systematic sample. Problem 2 The number of deaths in the US due to carbon monoxide (CO) poisoning fromgenerators from the years 1999 to 2011 are in table #1 (Hinatov, 2012). Create a bar chart and pie chart of this data. State any findings you see from the graph. Table #1: Data of Number of Deaths Due to CO Poisoning Region Number of deaths from CO while using a generator Urban Core 401 Sub-Urban 97 Large Rural 86 Small Rural/Isolated 111 Problem 3 The density of people per square kilometer for African countries is in table#2 ("Density of people," 2013). a.) Create a frequency distribution, relativefrequency distribution, and cumulative frequency distribution using 8 classes. b.) Create a histogram for the data in table #2.Describe the shape and any findings you can from the graph. c.) Create an ogive for the data in table #2. Describe any findings you can from the graph. Table #2: Data of Density of People per Square Kilometer 15 16 81 3 62 367 42 123 8 9 337 12 29 70 39 83 26 51 79 6 157 105 42 45 72 72 37 4 36 134 12 3 630 563 72 29 3 13 176 341 415 187 65 194 75 16 41 18 69 49 103 65 143 2 18 31 Problem 4 The World Bank collects information on the life expectancy of a person in eachcountry ("Life expectancy at," 2013) and the fertility rate per woman in thecountry ("Fertility rate," 2013). The data for 24 randomly selected countries forthe year 2011 are in table #3. Create a scatter plot of the data and state if thereappears to be a relationship between life expectancy and the number of births perwoman. Table #3: Data of Life Expectancy versus Fertility Rate Life Expectancy Fertility Rate Life Expectancy Fertility Rate 77.2 1.7 72.3 3.9 55.4 5.8 76.0 1.5 69.9 2.2 66.0 4.2 76.4 2.1 55.9 5.2 75.0 1.8 54.4 6.8 78.2 2.0 62.9 4.7 73.0 2.6 78.3 2.1 70.8 2.8 72.1 2.9 82.6 1.4 80.7 1.4 68.9 2.6 74.2 2.5 81.0 1.5 73.3 1.5 54.2 6.9 67.1 2.1 Problem 5 Cholesterol levels were collected from patients two days after they had a heartattack (Ryan, Joiner & Ryan, Jr, 1985) and are in table #4. Find the mean,median, range, variance, and standard deviation using technology. Table #4: Cholesterol Levels 270 236 210 142 280 272 160 220 226 242 186 266 206 318 294 282 234 224 276 282 360 310 280 278 288 288 244 236 Problem 6 Eyeglassomatic manufactures eyeglasses for different retailers. They test to seehow many defective lenses they made in a time period. Table #5 gives thedefect and the number of defects. Table #5: Number of Defective Lenses Defect type Number of Defects Scratch 5865 Right shaped – small 4613 Flaked 1992 Wrong axis 1838 Chamfer wrong 1596 Crazing, cracks 1546 Wrong shape 1485 Wrong PD 1398 Spots and bubbles 1371 Wrong height 1130 Right shape – big 1105 Lost in lab 976 Spots/bubble – intern 976 a.) Find the probability of picking a lens that is scratched or flaked. b.) Find the probability of picking a lens that is the wrong PD or was lost in lab. c.) Find the probability of picking a lens that is not scratched. d.) Find the probability of picking a lens that is not the wrong shape. Problem 7 According to an article in the American Heart Association’s publicationCirculation, 24% of patients who had been hospitalized for an acute myocardialinfarction did not fill their cardiac medication by the seventh day of beingdischarged (Ho, Bryson & Rumsfeld, 2009). Suppose there are twelve peoplewho have been hospitalized for an acute myocardial infarction. a.) State the random variable. b.) Argue that this is a binomial experiment Find the probability that c.) All filled their cardiac medication. d.) Seven did not fill their cardiac medication. e.) None filled their cardiac medication. f.) At most two did not fill their cardiac medication. Problem 8 The mean starting salary for nurses is $67,694 nationally ("Staff nurse -," 2013).The standard deviation is approximately $10,333. Assume that the starting salaryis normally distributed. a.) State the random variable. b.) Find the probability that a starting nurse will make more than $80,000. c.) Find the probability that a starting nurse will make less than $60,000. d.) If a nurse made less than $50,000, would you think the nurse was under paid? Why or why not? Problem 9 The WHO MONICA Project collected blood pressure data for people in China (Kuulasmaa, Hense&Tolonen, 1998). Data based on information from the study is in table #6. Determine if the data is from a population that is normallydistributed. Table #6: Blood Pressure Values for People in China 114 141 154 137 131 132 133 156 119 138 86 122 112 114 177 128 137 140 171 129 127 104 97 135 107 136 118 92 182 150 142 97 140 106 76 115 119 125 162 80 138 124 132 143 119 Problem 10 The size of fish is very important to commercial fishing. A study conducted in2012 found the length of Atlantic cod caught in nets in Karlskrona to have a meanof 49.9 cm and a standard deviation of 3.74 cm (Ovegard, Berndt &Lunneryd, 2012). The length of fish is normally distributed. A sample of 15 fish is taken. a.) State the random variable. b.) Find the mean and standard deviation of the sample mean. c.) Find the probability that the sample mean length of the Atlantic cod is lessthan 52 cm. d.) Find the probability that the sample mean length of the Atlantic cod is morethan 74 cm. e.) If you found sample mean length for Atlantic cod to be more than 74 cm, whatcould you conclude?
ASALLC Concrete Foundation for a Residential Building Project Worksheet
Refer to Sheets1, 2, 3, and 5 from the Marseille residential building plans in the Large Prints supplement to answer the
...
ASALLC Concrete Foundation for a Residential Building Project Worksheet
Refer to Sheets1, 2, 3, and 5 from the Marseille residential building plans in the Large Prints supplement to answer the
following questions. Complete Activity 10-2 complete the questions and fill in the answers on the form and save as a pdf
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