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step 2 of 2: find the highest season batting average for the six years …

Question

step 2 of 2: find the highest season batting average for the six years shown.
batting aver
year: 2013, 2014 (0.231), 2015 (0.231), 2016 (0.259), 2017 (0.259), 2018 (0.274)

Explanation:

Step1: List all batting averages

From the graph, the batting averages are: 2013 (let's assume the last point, maybe typo, but visible ones: 2014: 0.231, 2015: 0.231, 2016: 0.259, 2017: 0.259, 2018: 0.274 (wait, the last point in 2018? Wait, the x-axis years: 2013,2014,2015,2016,2017,2018. The y-axis: 0.21,0.23,0.25,0.27. The points: 2014: ~0.231, 2015: ~0.231, 2016: 0.259, 2017: 0.259, 2018: 0.274 (the top point). Wait, maybe 2013 is the first, but the first point (2018? Wait, the x-axis labels: 2013,2014,2015,2016,2017,2018 (from bottom to top? Or left to right? Wait, the graph's x-axis: left to right, years 2013,2014,2015,2016,2017,2018. The y-axis: 0.21,0.23,0.25,0.27 (bottom to top). The points: 2013: top (0.274?), 2014: 0.231, 2015: 0.231, 2016: 0.259, 2017: 0.259, 2018: 0.214? Wait, no, the labels: "2018" has a point at 0.214 (lowest), and the top point is at 2013? Wait, maybe the x-axis is reversed. Wait, the text says "six years shown": 2013,2014,2015,2016,2017,2018. The batting averages: 2013: let's check the y-axis. The top y-tick is 0.27, then 0.25, 0.23, 0.21. The point at 2013 is at 0.27 (highest), 2014: 0.231, 2015: 0.231, 2016: 0.259, 2017: 0.259, 2018: 0.214 (lowest). Wait, maybe I misread. Let's list all values: 2013: 0.274 (assuming the top point), 2014: 0.231, 2015: 0.231, 2016: 0.259, 2017: 0.259, 2018: 0.214. Wait, no, the last point (2018) is at 0.214 (lowest), and the first (2013) is at 0.274 (highest). So comparing 0.231, 0.231, 0.259, 0.259, 0.214, 0.274. The highest is 0.274 (2013? Or 2018? Wait, the x-axis labels: left to right, 2013,2014,2015,2016,2017,2018. The point at 2013 (leftmost) is at the top (0.27), 2018 (rightmost) is at the bottom (0.214). So the values: 2013: 0.274, 2014: 0.231, 2015: 0.231, 2016: 0.259, 2017: 0.259, 2018: 0.214. So the highest is 0.274 (2013? Or maybe the top point is 2013 with 0.274). Wait, the problem says "six years shown": 2013,2014,2015,2016,2017,2018. The batting averages: 2013: 0.274 (highest), 2014: 0.231, 2015: 0.231, 2016: 0.259, 2017: 0.259, 2018: 0.214. So the highest is 0.274 (2013? Or maybe the last point (2013) is the rightmost? Wait, maybe the x-axis is labeled from bottom to top: 2013 at the bottom, 2018 at the top. Then the top point (2018) is at 0.274? Wait, the label "2018" has a point at 0.214 (low), and the top point is at 2013 (high). This is confusing. Wait, the graph's title is "Batting Aver" (short for Batting Average). The y-axis is labeled with 0.21, 0.23, 0.25, 0.27 (bottom to top). The points: from left to right (x-axis: 2013,2014,2015,2016,2017,2018):

  • 2013: y=0.27 (highest)
  • 2014: y=0.231
  • 2015: y=0.231
  • 2016: y=0.259
  • 2017: y=0.259
  • 2018: y=0.214 (lowest)

So the highest is 0.274 (or 0.27) in 2013? Wait, no, maybe the x-axis is reversed. Wait, the problem says "Step 2 of 2: Find the highest season batting average for the six years shown." So we need to find the maximum value among the batting averages. Let's list the visible values: 0.231, 0.231, 0.259, 0.259, 0.214, and the top one (0.274). So comparing 0.214, 0.231, 0.231, 0.259, 0.259, 0.274. The maximum is 0.274 (assuming the top point is 0.274). Wait, the last point (2018) is 0.214, the first (2013) is 0.274. So the highest is 0.274 (or 0.27) in 2013? Or maybe the top point is 2018? No, the label "2018" is at the bottom of the x-axis (rightmost), with a low y-value. So the leftmost (2013) has the highest y-value.

Step2: Identify the maximum

Among the values: 0.214 (2018), 0.231 (2014), 0.231 (2015), 0.259 (2016), 0.259 (2017), and the top one (2013) at 0.274 (or 0.27). So the…

Answer:

0.274 (or 0.27, depending on graph precision; likely 0.274 as per the point's position)