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  58.68 – 61.32

B  56.23 – 63.97

C  57.99 – 62.01

D  58.79 – 61.21

A  59.08 – 60.92

B  59.02 – 60.98

C  58.64 – 62.26

D  47.98 – 73.-01

A  0.72

B  0.47

C  0.65

D  0.48

A  2.39

B  47.61

C  45.22

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  0.28

B  0.4

C  0.46

D  0.54

A  sample

B  census

C  population

D  survey

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 sample standard deviation

C  is the same as the population standard deviation

D  is qual to the sample size minus 1

A  has a mean equal to the population mean

B  has a standard deviation smaller than that of the population

C  approximates the normal curve

D  all of the above

A  mean variance

B  population variance

C  sample variance

D  sampling error

A  cannot be determined by the information provided.

B  0.32

C  0.032

D  68

A  68

B  50

C  26

D  34

A  50

B  44

C  95

D  10

A  Applicable to all real life research situations

B  A theoretical ideal

C  positively skewed

D  All of the above.

A  it is skewed

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

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 unimodal

B  The tails extend indefinitely in either direction

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 total number of times any event can occur

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

C  The number of times that a particular event can occur minus the number of times another 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 variance

B  The range

C  the mean deviation

D  the standard deviation

A  interval level

B  ordinal level

C  nominal level

D  all of the above.

A  B

B  A

C  D

D  C

A  the highest and the lowest scores

B  the middlemost and the highest score

C  the standard deviation and the variance

D  the mean and the standard deviation

A  the standard deviation

B  chi square

C  the median

D  the mode

A  the number of scores in a sample

B  the representation of the sample

C  the precision of the sample mean

D  the spread of the sample scores

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  of the operation of chance

C  the investigator chooses the wrong sample

D  of a calculation error in obtaining the sample mean