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  58.68 – 61.32

B  58.79 – 61.21

C  56.23 – 63.97

D  57.99 – 62.01

A  47.98 – 73.-01

B  59.08 – 60.92

C  58.64 – 62.26

D  59.02 – 60.98

A  0.48

B  0.65

C  0.72

D  0.47

A  45.22

B  2.39

C  4.18

D  47.61

A  2.98

B  -1.73

C  -2.98

D  1.73

A  0.45

B  0.15

C  0.4

D  0.84

A  0.54

B  0.46

C  0.4

D  0.28

A  sample

B  survey

C  population

D  census

A  gain statistical significance and gain precision

B  lose a degee of certainty but gain precision

C  lose precision but gain certainty

D  none of the above

A  is the standard deviation of a theoretical sampling distribution

B  is the same as the population standard deviation

C  is the same as the sample standard deviation

D  is qual to the sample size minus 1

A  approximates the normal curve

B  has a mean equal to the population mean

C  has a standard deviation smaller than that of the population

D  all of the above

A  sample variance

B  population variance

C  sampling error

D  mean variance

A  0.032

B  0.32

C  cannot be determined by the information provided.

D  68

A  68

B  26

C  50

D  34

A  10

B  50

C  95

D  44

A  positively skewed

B  Applicable to all real life research situations

C  A theoretical ideal

D  All of the above.

A  it is a probability distribution

B  it is skewed

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

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

A  a probability varies from 0 to 1.0

B  a 0 probability implies something is possible

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 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 number of times that any event CANNOT occur

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

A  the mean deviation

B  the standard deviation

C  The range

D  the variance

A  nominal level

B  interval level

C  ordinal level

D  all of the above.

A  D

B  B

C  C

D  A

A  the mean and the standard deviation

B  the middlemost and the highest score

C  the highest and the lowest scores

D  the standard deviation and the variance

A  chi square

B  the median

C  the mode

D  the standard deviation

A  the representation of the sample

B  the spread of the sample scores

C  the number of scores in a sample

D  the precision of the sample mean

A  remains the same

B  decreases

C  increases

D  none of the above

A  less than the population standard deviation

B  equal to the population mean

C  greater than the population mean

D  none of the above.

A  the measure device is flawed

B  the investigator chooses the wrong sample

C  of the operation of chance

D  of a calculation error in obtaining the sample mean