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  The true population mean less than 60

D  Its impossible to estimate the population mean

A  58.68 – 61.32

B  56.23 – 63.97

C  57.99 – 62.01

D  58.79 – 61.21

A  58.64 – 62.26

B  59.02 – 60.98

C  59.08 – 60.92

D  47.98 – 73.-01

A  0.48

B  0.65

C  0.47

D  0.72

A  47.61

B  4.18

C  2.39

D  45.22

A  2.98

B  -1.73

C  -2.98

D  1.73

A  0.4

B  0.15

C  0.45

D  0.84

A  0.46

B  0.28

C  0.4

D  0.54

A  survey

B  census

C  population

D  sample

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  approximates the normal curve

C  has a mean equal to the population mean

D  all of the above

A  sample variance

B  sampling error

C  population variance

D  mean variance

A  0.32

B  0.032

C  cannot be determined by the information provided.

D  68

A  26

B  34

C  50

D  68

A  44

B  10

C  95

D  50

A  A theoretical ideal

B  positively skewed

C  Applicable to all real life research situations

D  All of the above.

A  it is skewed

B  it is a probability distribution

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

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 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 standard deviation

B  the mean deviation

C  The range

D  the variance

A  nominal level

B  ordinal level

C  interval level

D  all of the above.

A  D

B  B

C  A

D  C

A  the mean and the standard deviation

B  the standard deviation and the variance

C  the highest and the lowest scores

D  the middlemost and the highest score

A  the median

B  the mode

C  the standard deviation

D  chi square

A  the representation of the sample

B  the number of scores in a sample

C  the precision of the sample mean

D  the spread of the sample scores

A  remains the same

B  increases

C  decreases

D  none of the above

A  equal to the population mean

B  less than the population standard deviation

C  greater than the population mean

D  none of the above.

A  the investigator chooses the wrong sample

B  the measure device is flawed

C  of the operation of chance

D  of a calculation error in obtaining the sample mean