True/False Indicate whether the statement is true or false . Any score with a va

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True/False Indicate whether the statement is true or false . Any score with a value less than the population mean will have a negative z-score. 2. Within any distribution of scores, the location specified by z = +1 and the location specified by z =-1 are exactly the same distance from the mean 3. Locations near the population mean will have z-scores near zero. 4. For a sample with M 50 and s-10, a score of X-55 corresponds to z·-0.50 . For any population, a z-score of+1.00 corresponds to a location exactly 10 points above the mean 6. For any population, a z-score of+1.00 corresponds to a location above the mean by one standard deviation. 7, In a distribution with -80, a score of X-90 corresponds to z +2.00. The standard deviation for this population is = 10 points. 8. In a sample with s-8, a score of X-52 corresponds to Z-_0.50. The mean for this sample is M-48 9. On an exam with = 6, Tom's score of X = 54 corresponds to z = +1.00. The mean fr the exam must be - 60. 10. Transforming X values into z-scores makes it possible to describe an entire distribution with a single number 1. The population mean always corresponds to a z-score of zero. 12. If two individuals in a population have identical X scores, they also will have identical z-scores. 13. Transforming an entire distribution of scores into z-scores will not change the shape of the distribution. 14. Probability values are always between 0 and 1.0 15. As defined in the text, random sampling requires sampling with replacement. 16. Sampling with replacement means that it is possible for the same individual to be selected more than once for a single sample A container has 4 red marbles and 5 blue marbles. If one marble is selected randomly, then the probability of obtaining a red marble is 4:5 or 0.80 17. 18. One major advantage of transforming X values into z-scores is that the z-scores always form a normal 19. For any normal distribution, the proportion in the tail beyond z 1.00 is exactly equal to the proportion in the 20. For a normal distribution, any location defined by a negative z-score will have the tail on the left-hand size distribution tail beyond z1.00

Explanation / Answer

1 ) TRUE

2 ) TRUE

3 ) TRUE

4 ) FALSE

5 ) FALSE

6 ) TRUE

7 ) FALSE

8 ) TRUE

9 ) FALSE

10 ) FALSE

11 ) TRUE

12 ) TRUE

13 ) TRUE

14 ) TRUE

15 ) FALSE

16 ) TRUE

17 ) FALSE

18 ) TRUE

19 ) TRUE

20 ) TRUE

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