Exam 2

A  The estimated population mean is precisely 60

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

C  Its impossible to estimate the population mean

D  The true population mean less than 60

A  58.79 – 61.21

B  56.23 – 63.97

C  58.68 – 61.32

D  57.99 – 62.01

A  58.64 – 62.26

B  59.02 – 60.98

C  47.98 – 73.-01

D  59.08 – 60.92

A  0.72

B  0.47

C  0.65

D  0.48

A  2.39

B  47.61

C  45.22

D  4.18

A  1.73

B  -2.98

C  2.98

D  -1.73

A  0.84

B  0.4

C  0.15

D  0.45

A  0.46

B  0.54

C  0.28

D  0.4

A  population

B  sample

C  survey

D  census

A  lose precision but gain certainty

B  gain statistical significance and gain precision

C  lose a degee of certainty but gain precision

D  none of the above

A  is the same as the sample standard deviation

B  is the standard deviation of a theoretical sampling distribution

C  is qual to the sample size minus 1

D  is the same as the population standard deviation

A  has a mean equal to the population mean

B  has a standard deviation smaller than that of the population

C  approximates the normal curve

D  all of the above

A  sampling error

B  population variance

C  mean variance

D  sample variance

A  68

B  0.032

C  cannot be determined by the information provided.

D  0.32

A  50

B  68

C  26

D  34

A  95

B  44

C  50

D  10

A  positively skewed

B  Applicable to all real life research situations

C  A theoretical ideal

D  All of the above.

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

B  it is skewed

C  it is a probability distribution

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

A  a 0 probability implies something is possible

B  a probability varies from 0 to 1.0

C  a 1.0 probability implies something is impossible

D  none of the above are true

A  The tails extend indefinitely in either direction

B  The normal curve is symmetrical

C  The normal curve is unimodal

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

A  the mean deviation

B  the standard deviation

C  The range

D  the variance

A  ordinal level

B  nominal level

C  interval level

D  all of the above.

A  D

B  C

C  B

D  A

A  the middlemost and the highest score

B  the mean and the standard deviation

C  the standard deviation and the variance

D  the highest and the lowest scores

A  the mode

B  the standard deviation

C  chi square

D  the median

A  the representation of the sample

B  the spread of the sample scores

C  the precision of the sample mean

D  the number of scores in a sample

A  remains the same

B  decreases

C  increases

D  none of the above

A  greater than the population mean

B  equal to the population mean

C  less than the population standard deviation

D  none of the above.

A  the investigator chooses the wrong sample

B  of a calculation error in obtaining the sample mean

C  the measure device is flawed

D  of the operation of chance