A horse trainer teaches horses to jump by using two methods of instruction. Horses being taught by method A have a lead horse that accompanies each jump. Horses being taught by method B have no lead horse. The table shows the number of training sessions required before each horse performed the jumps properly.   Method A 27 23 49 31 39 22 Method B 43 25 48 44 37 46   Method A 47 26 29 33 36 51 Method B 28 45 41 34 42     Use a rank-sum test with a 1% level of significance to test the claim that there is no difference between the training sessions distributions. The rank-sum R is 151 and the P-value is 0.2420. State the conclusion of the test and interpret your results with a 1% level of significance.   Group of answer choices Since the P-value is less than the level of significance, the data are statistically significant. Based on this, we reject the null hypothesis. Since the P-value is greater than the level of significance, the data are statistically significant. Based on this, we reject the null hypothesis. Since the P-value is greater than the level of significance, the data are statistically insignificant. Based on this, we fail to reject the null hypothesis. Since the P-value is less than the level of significance, the data are statistically insignificant. Based on this, we fail to reject the null hypothesis. Since the P-value is greater than the level of significance, the data are statistically significant. Based on this, we fail to reject the null hypothesis.

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Author:Amos Gilat
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A horse trainer teaches horses to jump by using two methods of instruction. Horses being taught by method A have a lead horse that accompanies each jump. Horses being taught by method B have no lead horse. The table shows the number of training sessions required before each horse performed the jumps properly.
 

Method A

27

23

49

31

39

22

Method B

43

25

48

44

37

46


 

Method A

47

26

29

33

36

51

Method B

28

45

41

34

42

 

 

Use a rank-sum test with a 1% level of significance to test the claim that there is no difference between the training sessions distributions. The rank-sum R is 151 and the P-value is 0.2420. State the conclusion of the test and interpret your results with a 1% level of significance.

 

Group of answer choices
Since the P-value is less than the level of significance, the data are statistically significant. Based on this, we reject the null hypothesis.
Since the P-value is greater than the level of significance, the data are statistically significant. Based on this, we reject the null hypothesis.
Since the P-value is greater than the level of significance, the data are statistically insignificant. Based on this, we fail to reject the null hypothesis.
Since the P-value is less than the level of significance, the data are statistically insignificant. Based on this, we fail to reject the null hypothesis.
Since the P-value is greater than the level of significance, the data are statistically significant. Based on this, we fail to reject the null hypothesis.
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