Lesson 6B Applications Completely solve and answer each problem. Use technology when directed to. Submit completed assignment as a document or spreadsheet file in one of the following formats (.pdf...

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Lesson 6B Applications Completely solve and answer each problem. Use technology when directed to. Submit completed assignment as a document or spreadsheet file in one of the following formats (.pdf .doc .docx .xls. xlsx) Use the data set provided in the main page of the experience for this application. 1. Complete the full hypothesis testing procedure to determine if students at TCC watch less television than Americans in general. Use the fact that Americans watch 5.5 hours of television per day with a standard deviation of 1 hour per day. Include the following in your report: a) Hypotheses using correct notation (2 points) b) type of test (left, right, two-tailed) (1 point), distribution used (normal or t) (1 point), reasons why (2 points) c) level of significance, choose one based on how serious the study is (2 points) d) Sample statistics (sample size and sample mean or sample proportion) (2 points) e) P-Value (2 point) (Round answer to four decimal places) f) Interpretation of P-value (Use Definition of P-Value but be specific to this context) (1 point) g) Drawing or graph of P-value. (2 points) h) Decision (2 point) i) Conclusion in complete sentences. (3 points) · File Types doc, pdf, docx, and odt The average movie attendance for various years is given below. The attendance is measured in billion tickets sold. Year 2001 2002 2003 2004 2005 2006 2007 2008 Attendance 1.44 2.18 1.52 1.48 1.38 1.4 1.42 1.36   1. Using “year” as the independent variable and “attendance” as the response variable, make a scatter plot of the data and display it here. (Use a spreadsheet program or Geogebra) Hint: use 2-digits for year. (2 points) 2. Calculate the least squares line. Put the equation in the form of: y' = ax + b (2 points) 3. Find the correlation coefficient. Explain whether it is significant or not? (4 points) 4. Use the years 2002 and 2005 in your LSRL equation (from b.) and use those points to plot the least squares line on your graph. (4 points) 5. Based on the above scatter plot and data, is there a linear relationship between the year and the average number of people who attend movies? (2 points) 6. Are there any outliers in the above data, if so, list the data points. (2 points) 7. What is the estimated movie attendance for 2020? Does the least squares line give an accurate estimate for that year? Explain why or why not. (6 points) 8. What is the slope of the least squares (best–fit) line and interpret it in terms of the data. (4 points) Rubric Movie Data Rubric Movie Data Rubric Criteria Ratings Pts This criterion is linked to a Learning OutcomeCreate Scatter plot of data Using “year” as the independent variable and “attendance” as the response variable, graph correctly, (2 points) 2 pts Full Marks 0 pts No Marks 2 pts This criterion is linked to a Learning OutcomeCalculate the least squares line equation Using technology or by paper-and-pencil, (2 points) 2 pts Full Marks 0 pts No Marks 2 pts This criterion is linked to a Learning OutcomeFind the correlation coefficient. List the r-value, Explain whether it is significant or not? 4 pts Full Marks 0 pts No Marks 4 pts This criterion is linked to a Learning OutcomeDefine points and graph Were both years correct? 2 points Were they graphed? 2 points 4 pts Full Marks 0 pts No Marks 4 pts This criterion is linked to a Learning OutcomeDescribe the relationship between the data. 2 pts Full Marks 0 pts No Marks 2 pts This criterion is linked to a Learning OutcomeAre there Outliers? If so, where? 2 pts Full Marks 0 pts No Marks 2 pts This criterion is linked to a Learning OutcomeWhat is the estimated movie attendance for 2020? Does the least squares line give an accurate estimate for that year? 2 points Explain why or why not. 2 points 6 pts Full Marks 0 pts No Marks 6 pts This criterion is linked to a Learning OutcomeExplain what the slope means. Interpret meaning of the slope in the LSRL equation and the relationship between the variables. 4 pts Full Marks 0 pts No Marks 4 pts Total Points: 26