Exam 2

A  Its impossible to estimate the population mean

B  The true population mean less than 60

C  The estimated population mean is precisely 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  57.99 – 62.01

D  56.23 – 63.97

A  59.08 – 60.92

B  47.98 – 73.-01

C  59.02 – 60.98

D  58.64 – 62.26

A  0.47

B  0.72

C  0.65

D  0.48

A  47.61

B  45.22

C  2.39

D  4.18

A  -2.98

B  2.98

C  1.73

D  -1.73

A  0.45

B  0.4

C  0.15

D  0.84

A  0.54

B  0.46

C  0.4

D  0.28

A  sample

B  population

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 population 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 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  mean variance

B  sampling error

C  sample variance

D  population variance

A  0.32

B  cannot be determined by the information provided.

C  0.032

D  68

A  68

B  26

C  34

D  50

A  44

B  95

C  50

D  10

A  Applicable to all real life research situations

B  A theoretical ideal

C  positively skewed

D  All of the above.

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

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

C  it is skewed

D  it is a probability distribution

A  a 1.0 probability implies something is impossible

B  a 0 probability implies something is possible

C  a probability varies from 0 to 1.0

D  none of the above are true

A  The tails extend indefinitely in either direction

B  The normal curve is unimodal

C  The normal curve is symmetrical

D  All of the above.

A  The number of times a particular event or outcome can occur relative to the number of times that any event CANNOT 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 total number of times any event can occur

D  The number of times that a particular event can occur minus the number of times another event can occur.

A  the variance

B  The range

C  the mean deviation

D  the standard deviation

A  nominal level

B  interval level

C  ordinal level

D  all of the above.

A  A

B  B

C  C

D  D

A  the standard deviation and the variance

B  the middlemost and the highest score

C  the highest and the lowest scores

D  the mean and the standard deviation

A  the standard deviation

B  chi square

C  the median

D  the mode

A  the representation of the sample

B  the precision of the sample mean

C  the spread of the sample scores

D  the number of scores in a sample

A  decreases

B  remains the same

C  increases

D  none of the above

A  equal to the population mean

B  greater than 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  of the operation of chance

C  the measure device is flawed

D  the investigator chooses the wrong sample