2.580.2260.1610.0057400.10180+1.86I andIII0.02Chi-squaregoodnessof fit test118 Yes,because theP-value is0.028.is significantlydifferent fromthe otherobservationsin the data set0.37 to0.430.18No, because everypossible 400-buyer sample didnot have an equalchance of beingchosen6inchesThe P-value is >0.10, little or nosupport for thenotion that Woodsplays better on par3 holes.0.0250.3750.89115+ 2.15.004/132.580.2260.1610.0057400.10180+1.86I andIII0.02Chi-squaregoodnessof fit test118 Yes,because theP-value is0.028.is significantlydifferent fromthe otherobservationsin the data set0.37 to0.430.18No, because everypossible 400-buyer sample didnot have an equalchance of beingchosen6inchesThe P-value is >0.10, little or nosupport for thenotion that Woodsplays better on par3 holes.0.0250.3750.89115+ 2.15.004/13

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