Exam 2

A  The estimated population mean is precisely 60

B  Its impossible to estimate the population mean

C  The true population mean less than 60

D  We can be 95% certainty that the true population mean lies within our 95% confidence interval

A  57.99 – 62.01

B  58.79 – 61.21

C  56.23 – 63.97

D  58.68 – 61.32

A  47.98 – 73.-01

B  59.08 – 60.92

C  59.02 – 60.98

D  58.64 – 62.26

A  0.72

B  0.48

C  0.65

D  0.47

A  4.18

B  47.61

C  45.22

D  2.39

A  1.73

B  -2.98

C  2.98

D  -1.73

A  0.84

B  0.45

C  0.4

D  0.15

A  0.46

B  0.4

C  0.54

D  0.28

A  census

B  sample

C  population

D  survey

A  lose a degee of certainty but gain precision

B  lose precision but gain certainty

C  gain statistical significance and gain precision

D  none of the above

A  is the same as the population standard deviation

B  is qual to the sample size minus 1

C  is the standard deviation of a theoretical sampling distribution

D  is the same as the sample standard deviation

A  has a standard deviation smaller than that of the population

B  has a mean equal to the population mean

C  approximates the normal curve

D  all of the above

A  population variance

B  sampling error

C  mean variance

D  sample variance

A  68

B  0.32

C  cannot be determined by the information provided.

D  0.032

A  50

B  26

C  34

D  68

A  10

B  44

C  50

D  95

A  A theoretical ideal

B  positively skewed

C  Applicable to all real life research situations

D  All of the above.

A  its total area contains 100% of the cases (scores)

B  The mode, the median, and the mean are identical

C  it is skewed

D  it is a probability distribution

A  a probability varies from 0 to 1.0

B  a 1.0 probability implies something is impossible

C  a 0 probability implies something is possible

D  none of the above are true

A  The normal curve is unimodal

B  The normal curve is symmetrical

C  The tails extend indefinitely in either direction

D  All of the above.

A  The number of times that a particular event can occur minus the number of times another event can occur.

B  The number of times that a particular event and any other event can occur

C  the number of times a particular event or outcome can occur relative to the total number of times any event can occur

D  The number of times a particular event or outcome can occur relative to the number of times that any event CANNOT occur

A  The range

B  the mean deviation

C  the standard deviation

D  the variance

A  nominal level

B  interval level

C  ordinal level

D  all of the above.

A  A

B  B

C  D

D  C

A  the highest and the lowest scores

B  the mean and the standard deviation

C  the middlemost and the highest score

D  the standard deviation and the variance

A  chi square

B  the mode

C  the standard deviation

D  the median

A  the precision of the sample mean

B  the number of scores in a sample

C  the representation of the sample

D  the spread of the sample scores

A  remains the same

B  increases

C  decreases

D  none of the above

A  greater than the population mean

B  less than the population standard deviation

C  equal to the population mean

D  none of the above.

A  the investigator chooses the wrong sample

B  of a calculation error in obtaining the sample mean

C  of the operation of chance

D  the measure device is flawed