link to 12 b practice : https://www.kaggle.com/datasets/jmpark746/pga-tour-data-2010-2018

STAT_12B_Practice Score: 9/15 3/7 answered . Question 1 Golf is a club-and-ball sport in which players use various clubs to hit balls into a series of holes on a golf course in as few strokes as possible. Each player drives a golf ball off a wooden tee at the start and eventually putts the ball on a soft grass surface into a hole. In golf, you are at a considerable advantage if you can drive the golf ball far. As professional golfers gain more experience and technology continues to improve, it makes sense to assume that professional golfers are driving the ball farther year after year. To test this theory, researchers set out to see if professional golfers are driving the golf ball noticeably further than they were three years prior. Data were collected from 111 male professional golf players. Their average driving distances off the tee (in yards) in 2015 and in 2018 were recorded, and the changes in their average driving distances from 2015 to 2018 were calculated (using order of subtraction 2018 - 2015). Call the change in average driving distance from 2015 to 2018 each player's "improvement score." PGA tour data. (2019). Kaggle. Retrieved from https://www.kaggle.com/jmpark746/pga-tour-data-2010- 2018 Score on last try: 2 of 4 pts. See Details for more. > Next question You can retry this question below Go to the DCMP Explore Quantitative Data tool at https://dcmathpathways.shinyapps.io/EDA_quantitative/ D. . Open spreadsheet DCMP STAT 12B PGA Data . . Select "Your Own" under "Enter Data." . Enter a descriptive name for the variable (e.g., Improvement Score). . Copy and paste the 111 Improvement Scores and enter the variable name "Improvement" into the tool. Part A: Examine the histogram, boxplot, dotplot, and summary statistics of these data. Write a few sentences describing the features of the data distribution. Address the shape, center, spread, and outliers. Edit Insert " Formats * B I U X X Ax Ax Part A: Examine the histogram, boxplot, dotplot, and summary statistics of these data. Write a few sentences describing the features of the data distribution. Address the shape, center, spread, and outliers. Edit Insert Formats BIU X X AY A Part B: What is the sample mean improvement score? What is the appropriate symbol for this value? Round to the nearest hundredth. X VV Part C: What is the sample standard deviation? What is the appropriate symbol for this value? Round to the nearest hundredth. SVSTAT_1 ZB_Practice Score: 9/15 317 answered 0 Question 2 v Score on last try: 1 of3 pts. See Details for more. > Next question You can retry this question below Now, let's estimate the sampling variability of the sample mean improvement score across different samples of 111 male professional golfers. Part A: Use the summary statistics from the sample data to calculate the standard error of the sample mean. Round to three decimal places Standard error 2 Part B: Which of the following is a correct interpretation ofthe standard error ofthe sample mean from Part A? 0 About 50% of samples of 111 male professional golfers will yield a sample mean improvement score that is 0.460 yards away from the population mean improvement score. 0 Every sample of 111 male professional golfers will have a mean improvement score that is 0.460 yards away from the population mean improvement score. The typical difference between a mean improvement score in a sample of 111 male professional golfers and the population mean improvement score is 0.460 yards. 0 The average sample mean improvement score across all samples of 111 male professional golfers is 0.460 yards. \"6/ Part C: Explain the key differences in how the interpretation of the standard error in Part B differs from the interpretation of the sample standard deviation in Question 1, Part D. Edit Insert Formats BIUX X A A wr- Calculator Submit QuestionSTAT_1 ZB_Practice Score: 9/15 3/7 answered 0 Question 3 v Next question You can retry this question below How many standard errors away from [i is the observed sample mean? Round to the nearest hundredth. ' lstandard deviations above v V 0. E Calculator STAT_1ZB_PraCtice Score: 9l15 31? answered X Question 5 v Next question You can retry this question below What degrees of freedom should you use when calculating probabilities from a t Distribution for these data? degrees of freedom E Calculator STAT_1 ZB_Practice Score: 9/15 3/7 answered 0 Question 6 v Score on last try: 0.5 0\" pts. See Details for more. > Next question You can retry this question below Assuming there was no true change in male professional golfers' average driving distances from 2015 to 2018 (i.e., the true mean improvement score was equal to 0), use the appropriate t Distribution to calculate the probability of observing the sample mean from Question 1, Part B or something larger. What does this result suggest about the theory that professional golfers are driving the ball farther year after year? Fill in the blanks. The probability of observing or higher on a t Distribution with degrees of freedom is approximately ~/ cf .This probability supports v ~/ 0" the theorythat professional golfers are driving the ball farther year after year. E Calculator STAT 4A_Practice Score: 4/11 5/7 answered . Question 3 Go to the Describing and Exploring Quantitative Variables tool at https://dcmathpathways.shinyapps.io/EDA quantitative/. Using the Several Groups tab, calculate the mean and median for the variable "Missed Classes." Fill in the following table. Class Mean Median Freshman (Year 1) Sophomore (Year 2) Junior (Year 3) Senior (Year 4)STAT_4A_Practice Score: 4/11 5/7 answered Question 7 Score on last try: 0 of 2 pts. See Details for more. You can retry this question below Go to the Describing and Exploring Quantitative Variables tool at https://dcmathpathways.shinyapps.io/EDA quantitative/ . Select the Several Groups tab, locate the drop-down menu under "Dataset," select "CO2 Emissions by Continent," and use the dataset to address the following questions. Part A: Calculate the mean and median CO2 emission values (metric tons) for countries in Central and South America and for countries in Europe. Complete the table below. Group Mean Median Central and South America 7.97 X 8 X Europe 8 X Part B: What might you conclude about the CO2 emissions of these countries? Edit . Insert Formats . B I U Xz X|A ~ A