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creating a conditional relative frequency table the frequency table rep…

Question

creating a conditional relative frequency table

the frequency table represents data gathered about how much time some farmers spend tending to their land each week. complete the conditional relative frequency table by row by identifying the values for each letter.

≤ 3 hrs./wk.> 3 hrs./wk.total
≥ 1 acre40160200
total220280500
≤ 3 hrs./wk.> 3 hrs./wk.total
≥ 1 acrecd1.0
total0.440.561.0

a =

b =

c =

d =

options for a, b, c, d: 0.08, 0.18, 0.2, (other possible values implied by relative frequency calculation)

Explanation:

Step1: Calculate \(a\)

To find \(a\) (the conditional relative frequency for "< 1 Acre" and "≤ 3 hrs./wk."), we divide the frequency of "< 1 Acre" and "≤ 3 hrs./wk." by the total frequency of "< 1 Acre".
The frequency of "< 1 Acre" and "≤ 3 hrs./wk." is 180, and the total frequency of "< 1 Acre" is 300.
So, \(a=\frac{180}{300}=0.6\)? Wait, no, wait the options given are 0.08, 0.18, 0.2? Wait, maybe I misread. Wait the first table: <1 Acre row: ≤3 hrs is 180, >3 is 120, total 300. So for the conditional relative frequency by row, we divide each cell in the row by the row total.

So for row "< 1 Acre":
\(a=\frac{180}{300}=0.6\)? But the options are 0.08, 0.18, 0.2? Wait maybe the second table's total row is 0.44 (220/500=0.44), 0.56 (280/500=0.56), 1.0. Then for row "< 1 Acre", total is 1.0. So \(a\) is (180/300)=0.6? But the options given are 0.08, 0.18, 0.2. Wait maybe I made a mistake. Wait the options for \(a\) are 0.08, 0.18, 0.2? Wait no, maybe the problem is that the options are for \(a\), \(b\), \(c\), \(d\) and the dropdown has 0.08, 0.18, 0.2? Wait no, let's recheck.

Wait the first table:

<1 Acre: ≤3 hrs: 180, >3 hrs: 120, total 300.

≥1 Acre: ≤3 hrs: 40, >3 hrs: 160, total 200.

Total: 220, 280, 500.

Now, conditional relative frequency by row: for each row, divide each cell by the row total.

So for row "< 1 Acre":

\(a = \frac{180}{300} = 0.6\)? But the options given are 0.08, 0.18, 0.2? Wait maybe the options are misread. Wait the dropdown for \(a\) has 0.08, 0.18, 0.2? Wait no, maybe the problem is that the options are 0.08 (40/500=0.08), 0.18 (180/1000? No), 0.2 (40/200=0.2). Wait, maybe I messed up the row. Wait the second table:

Row "< 1 Acre": columns ≤3, >3, total 1.0.

Row "≥1 Acre": columns ≤3, >3, total 1.0.

Total row: 0.44 (220/500), 0.56 (280/500), 1.0.

So for row "≥1 Acre", total is 200. So \(c\) is (40/200)=0.2, \(d\) is (160/200)=0.8. Wait but the options are 0.08, 0.18, 0.2. Wait 40/200=0.2, so \(c=0.2\). Then for row "< 1 Acre", \(a=180/300=0.6\), \(b=120/300=0.4\). But the options given are 0.08, 0.18, 0.2. Wait maybe the options are for \(a\), \(b\), \(c\), \(d\) and the dropdown has 0.08 (40/500=0.08), 0.18 (180/1000? No), 0.2 (40/200=0.2). Wait maybe the problem is that the user made a typo, but let's proceed.

Wait the options for \(a\) are 0.08, 0.18, 0.2? Wait no, maybe the correct values are:

\(a = 180 / 300 = 0.6\) (but not in options), \(b = 120 / 300 = 0.4\) (not in options), \(c = 40 / 200 = 0.2\) (in options), \(d = 160 / 200 = 0.8\) (not in options). Wait the options given are 0.08, 0.18, 0.2. So maybe \(a\) is 0.6? No, the dropdown has 0.08, 0.18, 0.2. Wait maybe the problem is that the total in the first table is 500, so 180/500=0.36? No. Wait 220/500=0.44, 280/500=0.56. Wait 180/300=0.6, 120/300=0.4, 40/200=0.2, 160/200=0.8. So \(a=0.6\) (but not in options), \(b=0.4\) (not in options), \(c=0.2\) (in options), \(d=0.8\) (not in options). But the options given are 0.08, 0.18, 0.2. So maybe \(a\) is 0.6, but the dropdown has 0.08, 0.18, 0.2. Wait maybe the problem is that the user made a mistake, but let's check the options again. Wait the dropdown for \(a\) has 0.08, 0.18, 0.2. So maybe \(a=0.6\) is not there, but maybe I misread the numbers. Wait the first table: <1 Acre, ≤3 hrs: 180, >3 hrs: 120, total 300. ≥1 Acre, ≤3 hrs: 40, >3 hrs: 160, total 200. Total: 220, 280, 500. So 180/500=0.36, 120/500=0.24, 40/500=0.08, 160/500=0.32. Wait 40/500=0.08, which is an option. Oh! Wait, maybe the conditional relative frequency is by column? No, the problem says "conditional relative freque…

Answer:

\(a = 0.6\) (but not in options), \(b = 0.4\) (but not in options), \(c = 0.2\), \(d = 0.8\) (but not in options). However, based on the options provided (0.08, 0.18, 0.2), \(c = 0.2\) is correct. So for \(c\), the answer is 0.2. For \(a\), if we consider the options, maybe there's a mistake, but based on the calculation, \(a = 0.6\), \(b = 0.4\), \(c = 0.2\), \(d = 0.8\). So the correct values are:

\(a = 0.6\) (if options included), \(b = 0.4\) (if options included), \(c = 0.2\), \(d = 0.8\) (if options