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  The true population mean less than 60

D  Its impossible to estimate the population mean

A  56.23 – 63.97

B  57.99 – 62.01

C  58.68 – 61.32

D  58.79 – 61.21

A  59.02 – 60.98

B  47.98 – 73.-01

C  59.08 – 60.92

D  58.64 – 62.26

A  0.65

B  0.72

C  0.48

D  0.47

A  45.22

B  2.39

C  47.61

D  4.18

A  -1.73

B  1.73

C  -2.98

D  2.98

A  0.4

B  0.15

C  0.84

D  0.45

A  0.4

B  0.28

C  0.46

D  0.54

A  survey

B  census

C  population

D  sample

A  lose precision but gain certainty

B  lose a degee of certainty but gain precision

C  gain statistical significance and gain precision

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  has a mean equal to the population mean

B  approximates the normal curve

C  has a standard deviation smaller than that of the population

D  all of the above

A  population variance

B  sample variance

C  mean variance

D  sampling error

A  68

B  0.032

C  cannot be determined by the information provided.

D  0.32

A  26

B  34

C  68

D  50

A  44

B  95

C  10

D  50

A  Applicable to all real life research situations

B  A theoretical ideal

C  positively skewed

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

C  The number of times that a particular event and any other 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 standard deviation

C  the mean deviation

D  the variance

A  interval level

B  nominal level

C  ordinal level

D  all of the above.

A  B

B  A

C  D

D  C

A  the highest and the lowest scores

B  the standard deviation and the variance

C  the middlemost and the highest score

D  the mean and the standard deviation

A  the mode

B  the standard deviation

C  the median

D  chi square

A  the number of scores in a sample

B  the precision of the sample mean

C  the representation of the sample

D  the spread of the sample scores

A  remains the same

B  decreases

C  increases

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 a calculation error in obtaining the sample mean

D  of the operation of chance