400.100.3750.00574/13No, because everypossible 400-buyer sample didnot have an equalchance of beingchosenChi-squaregoodnessof fit test118 0.890.022.58115+ 2.1180+1.86Yes,because theP-value is0.028.6inchesis significantlydifferent fromthe otherobservationsin the data set0.37 to0.435.000.0250.226The P-value is >0.10, little or nosupport for thenotion that Woodsplays better on par3 holes.I andIII0.180.161400.100.3750.00574/13No, because everypossible 400-buyer sample didnot have an equalchance of beingchosenChi-squaregoodnessof fit test118 0.890.022.58115+ 2.1180+1.86Yes,because theP-value is0.028.6inchesis significantlydifferent fromthe otherobservationsin the data set0.37 to0.435.000.0250.226The P-value is >0.10, little or nosupport for thenotion that Woodsplays better on par3 holes.I andIII0.180.161

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