15 25

 

15. Under the normal curve, between z scores of + 10, there are always

 

 a.  100% of the cases

 

 b.  95% of the cases

 

 c.  68% of the cases

 

 d.  more than 99% but less than 100% of the cases

 

 

 

16. When a z score falls to the left of the mean

 

 a.  it must always be given a minus sign

 

 b.  it must always be greater than 1

 

 c.  it must always be less than 1

 

 d.  none of these, since z scores never fall to the left of the mean

 

 

 

17. If an IQ distribution is normal and has a mean of 100 and a standard

 

deviation of 15, then 68% of all those taking the test scored between IQ’s of

 

 a.  100 and 115

 

 b.  85 and 100

 

 c.  92.5 and 107.5

 

 d.  85 and 115

 

 

 

18. If an IQ distribution is normal and has a mean of 100 and a standard

 

deviation of 15, then 99% of all those taking the test scored between IQ’s of

 

 a.  0 and 150

 

 b.  55 and 145

 

 c.  85 and 115

 

 d.  92.5 and 107.5

 

 

 

19. Under the normal curve, when the z score is equal to + 1, then

 

 a.  the standard deviation of the distribution of raw scores must equal 15

 

 b.  the standard deviation of the distribution of raw scores must equal 10

 

 c.  the standard deviation of the distribution of raw scores must equal 0

 

 d.  none of these

 

 

 

20. Under the normal curve, if the mean of the distribution of raw scores is

 

equal to 68, then its equivalent z score is equal to

 

 a.  10

 

 b.  1

 

 c.  0

 

 d.  cannot tell, since the SD is not given

 

 

 

 

 

21. Assume a normal distribution of height scores, with a mean of 68″ and a

 

standard deviation of 3″, then

 

 a.  68% of the cases must fall between 65″ and 71″

 

 b.  50% of the cases must fall below 68″

 

 c.  68% of the cases must fall at exactly 68″

 

 d.  a and b, but not c

 

                                                           

 

 

 

22. The larger the absolute value of the z score (regardless of its sign), then

 

 a.  the higher its equivalent raw score

 

 b.  the lower its equivalent raw score

 

 c.  the further it is from the mean

 

 d.  the closer its equivalent raw score must be to the mean

 

 

 

23. The z score provides direct information regarding how far a given raw score

 

is

 

 a.  from the mean in units of standard deviation

 

 b.  from the mean in percentage units

 

 c.  from the lowest score in percentile units

 

 d.  from the highest score in percentile units

 

 

 

24. On any normal distribution the 50th percentile corresponds with a z score

 

of

 

 a.  0

 

 b.  50

 

 c.  68

 

 d.  + 1

 

                                                                       

 

25. Under the normal curve, if a given raw score falls at the 84th percentile,

 

then its equivalent z score must be equal to

 

 a.  the mean

 

 b.  0

 

 c.  + 1

 

 d.  + 2

 

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