I andIIIYes,because theP-value is0.028.No, because everypossible 400-buyer sample didnot have an equalchance of beingchosen0.00570.0250.895.000.37 to0.430.10115+ 2.1180+1.860.182.58400.1610.2266inches0.020.375The P-value is >0.10, little or nosupport for thenotion that Woodsplays better on par3 holes.Chi-squaregoodnessof fit test118 4/13is significantlydifferent fromthe otherobservationsin the data setI andIIIYes,because theP-value is0.028.No, because everypossible 400-buyer sample didnot have an equalchance of beingchosen0.00570.0250.895.000.37 to0.430.10115+ 2.1180+1.860.182.58400.1610.2266inches0.020.375The P-value is >0.10, little or nosupport for thenotion that Woodsplays better on par3 holes.Chi-squaregoodnessof fit test118 4/13is significantlydifferent fromthe otherobservationsin the data set

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.


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