Exam 2

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

B  The estimated population mean is precisely 60

C  Its impossible to estimate the population mean

D  The true population mean less than 60

A  58.68 – 61.32

B  56.23 – 63.97

C  58.79 – 61.21

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  0.72

B  0.65

C  0.47

D  0.48

A  2.39

B  47.61

C  4.18

D  45.22

A  2.98

B  -2.98

C  -1.73

D  1.73

A  0.84

B  0.4

C  0.15

D  0.45

A  0.4

B  0.54

C  0.46

D  0.28

A  population

B  sample

C  census

D  survey

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 same as the population standard deviation

B  is qual to the sample size minus 1

C  is the same as the sample standard deviation

D  is the standard deviation of a theoretical sampling distribution

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  mean variance

B  sampling error

C  sample variance

D  population variance

A  0.32

B  0.032

C  68

D  cannot be determined by the information provided.

A  50

B  68

C  26

D  34

A  10

B  95

C  44

D  50

A  positively skewed

B  Applicable to all real life research situations

C  A theoretical ideal

D  All of the above.

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

B  it is skewed

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

D  it is a probability distribution

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 normal curve is symmetrical

B  The tails extend indefinitely in either direction

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

A  the mean deviation

B  The range

C  the variance

D  the standard deviation

A  nominal level

B  ordinal level

C  interval level

D  all of the above.

A  A

B  D

C  B

D  C

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  the standard deviation

B  chi square

C  the mode

D  the median

A  the precision of the sample mean

B  the spread of the sample scores

C  the representation of the sample

D  the number of scores in a sample

A  decreases

B  remains the same

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  of a calculation error in obtaining the sample mean

B  the investigator chooses the wrong sample

C  the measure device is flawed

D  of the operation of chance