0.0250.161is significantlydifferent fromthe otherobservationsin the data set0.02I andIIIChi-squaregoodnessof fit test6inches0.0057The P-value is >0.10, little or nosupport for thenotion that Woodsplays better on par3 holes.0.3752.584/13115+ 2.1118 No, because everypossible 400-buyer sample didnot have an equalchance of beingchosenYes,because theP-value is0.028.0.37 to0.43180+1.860.2260.18400.105.000.890.0250.161is significantlydifferent fromthe otherobservationsin the data set0.02I andIIIChi-squaregoodnessof fit test6inches0.0057The P-value is >0.10, little or nosupport for thenotion that Woodsplays better on par3 holes.0.3752.584/13115+ 2.1118 No, because everypossible 400-buyer sample didnot have an equalchance of beingchosenYes,because theP-value is0.028.0.37 to0.43180+1.860.2260.18400.105.000.89

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