Exam 2

A  The estimated population mean is precisely 60

B  Its impossible to estimate the population mean

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

D  The true population mean less than 60

A  57.99 – 62.01

B  58.79 – 61.21

C  56.23 – 63.97

D  58.68 – 61.32

A  47.98 – 73.-01

B  59.02 – 60.98

C  58.64 – 62.26

D  59.08 – 60.92

A  0.47

B  0.72

C  0.65

D  0.48

A  45.22

B  2.39

C  47.61

D  4.18

A  -2.98

B  2.98

C  1.73

D  -1.73

A  0.15

B  0.4

C  0.84

D  0.45

A  0.54

B  0.28

C  0.4

D  0.46

A  census

B  survey

C  sample

D  population

A  lose a degee of certainty but gain precision

B  gain statistical significance and gain precision

C  lose precision but gain certainty

D  none of the above

A  is the standard deviation of a theoretical sampling distribution

B  is qual to the sample size minus 1

C  is the same as the sample standard deviation

D  is the same as the population standard deviation

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  population variance

B  mean variance

C  sampling error

D  sample variance

A  68

B  cannot be determined by the information provided.

C  0.32

D  0.032

A  50

B  26

C  34

D  68

A  44

B  10

C  50

D  95

A  A theoretical ideal

B  Applicable to all real life research situations

C  positively skewed

D  All of the above.

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

B  it is skewed

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

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 that a particular event and any other event can occur

B  The number of times that a particular event can occur minus the number of times another 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 a particular event or outcome can occur relative to the total number of times any event can 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  C

B  D

C  A

D  B

A  the middlemost and the highest score

B  the mean and the standard deviation

C  the highest and the lowest scores

D  the standard deviation and the variance

A  the median

B  the mode

C  the standard deviation

D  chi square

A  the spread of the sample scores

B  the representation of the sample

C  the precision of the sample mean

D  the number of scores in a sample

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  of the operation of chance

B  the investigator chooses the wrong sample

C  of a calculation error in obtaining the sample mean

D  the measure device is flawed