Exam 2

A  The estimated population mean is precisely 60

B  The true population mean less than 60

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

D  Its impossible to estimate the population mean

A  58.68 – 61.32

B  56.23 – 63.97

C  58.79 – 61.21

D  57.99 – 62.01

A  59.02 – 60.98

B  58.64 – 62.26

C  59.08 – 60.92

D  47.98 – 73.-01

A  0.48

B  0.72

C  0.65

D  0.47

A  45.22

B  2.39

C  4.18

D  47.61

A  2.98

B  1.73

C  -2.98

D  -1.73

A  0.84

B  0.15

C  0.45

D  0.4

A  0.4

B  0.54

C  0.28

D  0.46

A  population

B  census

C  sample

D  survey

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 same as the sample standard deviation

B  is the standard deviation of a theoretical sampling distribution

C  is the same as the population standard deviation

D  is qual to the sample size minus 1

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  cannot be determined by the information provided.

C  0.032

D  68

A  50

B  34

C  68

D  26

A  10

B  95

C  50

D  44

A  positively skewed

B  A theoretical ideal

C  Applicable to all real life research situations

D  All of the above.

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

B  it is skewed

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

D  it is a probability distribution

A  a 0 probability implies something is possible

B  a 1.0 probability implies something is impossible

C  a probability varies from 0 to 1.0

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 can occur minus the number of times another 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  ordinal level

C  nominal level

D  all of the above.

A  A

B  C

C  B

D  D

A  the highest and the lowest scores

B  the middlemost and the highest score

C  the mean and the standard deviation

D  the standard deviation and the variance

A  chi square

B  the mode

C  the standard deviation

D  the median

A  the spread of the sample scores

B  the number of scores in a sample

C  the representation of the sample

D  the precision of the sample mean

A  increases

B  decreases

C  remains the same

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 investigator chooses the wrong sample

D  the measure device is flawed