No, because everypossible 400-buyer sample didnot have an equalchance of beingchosenChi-squaregoodnessof fit test0.89400.37 to0.434/130.3750.020.161The P-value is >0.10, little or nosupport for thenotion that Woodsplays better on par3 holes.5.002.58Yes,because theP-value is0.028.0.10180+1.86is significantlydifferent fromthe otherobservationsin the data set118 0.2260.0057I andIII0.186inches0.025115+ 2.1No, because everypossible 400-buyer sample didnot have an equalchance of beingchosenChi-squaregoodnessof fit test0.89400.37 to0.434/130.3750.020.161The P-value is >0.10, little or nosupport for thenotion that Woodsplays better on par3 holes.5.002.58Yes,because theP-value is0.028.0.10180+1.86is significantlydifferent fromthe otherobservationsin the data set118 0.2260.0057I andIII0.186inches0.025115+ 2.1

Statistics Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. No, because every possible 400-buyer sample did not have an equal chance of being chosen
  2. Chi-square goodness of fit test
  3. 0.89
  4. 40
  5. 0.37 to 0.43
  6. 4/13
  7. 0.375
  8. 0.02
  9. 0.161
  10. The P-value is > 0.10, little or no support for the notion that Woods plays better on par 3 holes.
  11. 5.00
  12. 2.58
  13. Yes, because the P-value is 0.028.
  14. 0.10
  15. 180+1.86
  16. is significantly different from the other observations in the data set
  17. 118
  18. 0.226
  19. 0.0057
  20. I and III
  21. 0.18
  22. 6 inches
  23. 0.025
  24. 115 + 2.1