Essay:An analysis of another misleading poll/calculations

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Main article: Essay:An analysis of another misleading poll

The following is a thorough list of mathematical calculations/explanations related to Essay:An analysis of another misleading poll.

Finding sample makeup by gender

According to the polling data for the 2020 Senate special election in Arizona, 34% of respondents intend to vote for Republican Martha McSally and 49% prefer Democrat Mark E. Kelly. For the two-way tables that involve the preferences by gender, 34% of men intended to vote for McSally, and 52% for Kelly; for women, 34% back McSally and 46% are for Kelly. Since it's unknown exactly what percent of the sample makeup is by gender, M can be used as a variable for male respondents and F for female respondents. Since the percent of men (out of the entire sample) that support McSally and the percent of women (again out of the entire sample) that support McSally must add up to 34%, the equation "34M + 34F = 34" can be set. With the same notion applying to Mark Kelly, the equation "52M + 46F = 49" can be set as well. And to solve:

    34M + 34F =  34        → → →    34M =  –34F + 34  |    52M + 46F =  49        → → →    52M =      –46F + 49     ↓ ↓ ↓ ↓
  −       34F =  34F       → → →  ÷ 34  = ÷ 34        |  –       46F =  46F       → → →  ÷ 52  = ÷ 52               ↓ ↓ ↓ ↓
  ———————————————————————  → → →  —————————————————   |  ———————————————————————  → → →  —————————————————————————  ↓ ↓ ↓ ↓
    34M       = –34F + 34  → → →      M  =   –F + 1   |    52M +     = –46F + 49  → → →      M = –(46/52)F + 49/52  ↓ ↓ ↓ ↓
                                                                                                                    ↓ ↓ ↓ ↓
  ↓ ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ↓ ↓ ↓
  ↓ ↓ ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ↓ ↓
  ↓ ↓ ↓ ↓ ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ← ←
  ↓ ↓ ↓ ↓
  ↓ ↓ ↓ ↓
  ↓ ↓ ↓ ↓

   –F + 1 = –(46/52)F + 49/52  → → →   (6/52)F + 49/52 = 1      → → →   (6/52)F =    3/52
  + F     =  (52/52)F          → → →  –          49/52 = 49/52  → → →  × (52/6) = × (52/6)
  ———————————————————————————  → → →  ————————————————————————  → → →  ——————————————————
        1 =   (6/52)F + 49/52  → → →   (6/52)F         =  3/52  → → →         F = 3/6

Since exactly half of the sample makeup are women, the other half must be men. Plugging these figures back into the original equations result in identities, so the answers yielded are correct.

Finding sample makeup by age

Given the way the data had been set up for age groups, it is impossible to find the exact, correct answer for the makeup. Six age groups are given (which means six variables to solve for), and since there are only four options to choose from for candidates ("McSally", "Kelly", "Other", and "Don't Know"), that means that only four equations (each involving the six variables) can be set up. Since there more variables than equations, it is impossible to cancel out all enough variables to find out what any one of them are equal to in terms of hard numbers (rather, each variable can only be expressed in terms of other variables); thus there are infinitely many solutions possible.