Statistics 001 - Elementary Statistics I for the Social Sciences » Spring 2020 » Exam 2

Need help with your exam preparation?

Question #1
Sampling error occurs because:
A.   the measure device is flawed
B.   of the operation of chance
C.   of a calculation error in obtaining the sample mean
D.   the investigator chooses the wrong sample
Question #2
The mean of sampling distribution of means is
A.   equal to the population mean
B.   greater than the population mean
C.   less than the population standard deviation
D.   none of the above.
Question #3
When increasing our level of confidence from 95% to 99%, the interval:
A.   remains the same
B.   increases
C.   decreases
D.   none of the above
Question #4
Variability refers to:
A.   the representation of the sample
B.   the spread of the sample scores
C.   the number of scores in a sample
D.   the precision of the sample mean
Question #5
Which of the following is a measure of variability
A.   the mode
B.   chi square
C.   the median
D.   the standard deviation
Question #6
The range is the difference between:
A.   the highest and the lowest scores
B.   the mean and the standard deviation
C.   the middlemost and the highest score
D.   the standard deviation and the variance
Question #7
Four students have applied to a special program and online one can be accepted. They have taken a battery of 12 tests and all have exactly the same mean score. The standard deviation of their test scores are: Student A = 3.12, Student B =4.67, Student C = 13.45, Student D = 1.45. If consistency of performance is a criteria for acceptance, which of the four students should be selected.
A.   D
B.   A
C.   B
D.   C
Question #8
Standard deviation can only be used for variables measured at which level?
A.   ordinal level
B.   nominal level
C.   interval level
D.   all of the above.
Question #9
The mean of the squared deviations is better known as
A.   the mean deviation
B.   the standard deviation
C.   the variance
D.   The range
Question #10
Probability is defined as:
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
Question #11
which of the following is TRUE of the normal distribution?
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.
Question #12
Which of the following is TRUE of probabilities
A.   a 0 probability implies something is possible
B.   a probability varies from 0 to 1.0
C.   a 1.0 probability implies something is impossible
D.   none of the above are true
Question #13
Which of the following is NOT true of the normal curve.
A.   it is a probability distribution
B.   The mode, the median, and the mean are identical
C.   its total area contains 100% of the cases (scores)
D.   it is skewed
Question #14
The normal curve is
A.   positively skewed
B.   Applicable to all real life research situations
C.   A theoretical ideal
D.   All of the above.
Question #15
Roughly ___% of the total area under the normal curve rests between the mean and two standard deviations in either direction
A.   50
B.   10
C.   44
D.   95
Question #16
In a symmetrical distribution, what percent of the scores fall above the mean?
A.   26
B.   34
C.   68
D.   50
Question #17
If 68% of the population has an IQ between 85 and 115, what is the probability of meeting a person with an IQ either higher than 115 or lower than 85?
A.   cannot be determined by the information provided.
B.   68
C.   0.032
D.   0.32
Question #18
The difference between the sample mean and the population mean is known as:
A.   sampling error
B.   mean variance
C.   sample variance
D.   population variance
Question #19
The sampling distribution of means
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
Question #20
The standard error of the mean:
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
Question #21
When increasing the level of confidence from 95% to 99%, we:
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
Question #22
Research that analyses a portion of an entire population is carried out on a
A.   census
B.   survey
C.   population
D.   sample
Question #23
In a class of 42 students, 19 are male, 23 are female, 25 are Sociology majors and 4 are married. What is probability of randomly selecting a student who is NOT a Sociology major?
A.   0.4
B.   0.46
C.   0.28
D.   0.54
Question #24
In a class of 42 students, 19 are male, 23 are female, 25 are Sociology majors and 4 are married. What is probability of randomly selecting a student who is male?
A.   0.84
B.   0.4
C.   0.15
D.   0.45
Question #25
The average on a standardized test on educational achievement is 600, and the standard deviation is 15. Calculate the z-score for the following individual raw score. If x = 574, z=
A.   2.98
B.   -2.98
C.   1.73
D.   -1.73
Question #26
Based on the previous problem. The average on a standardized test on educational achievement is 600, and the standard deviatio is 1. What % of scores are below 574
A.   2.39
B.   4.18
C.   45.22
D.   47.61
Question #27
A manufacturer of solar energy batteries has recently develped an energy efficient battery. He has hired a researcher to test the battery for its expected hours of sustained operation of maintaining its electric charge. The consultant is given a sample of 40 batteries to test and determines a standard deviation of 3.0 hours and a mean of 60 hours. Calculate the standard error of the mean.
A.   0.47
B.   0.48
C.   0.72
D.   0.65
Question #28
A manufacturer of solar energy batteries has recently develped an energy efficient battery. He has hired a researcher to test the battery for its expected hours of sustained operation of maintaining its electric charge. The consultant is given a sample of 40 batteries to test and determines a standard deviation of 3.0 hours and a mean of 60 hours. Estimate the population mean using the 95% confidence
A.   47.98 – 73.-01
B.   58.64 – 62.26
C.   59.02 – 60.98
D.   59.08 – 60.92
Question #29
A manufacturer of solar energy batteries has recently develped an energy efficient battery. He has hired a researcher to test the battery for its expected hours of sustained operation of maintaining its electric charge. The consultant is given a sample of 40 batteries to test and determines a standard deviation of 3.0 hours and a mean of 60 hours. Estimate the population mean using the 99% confidence
A.   58.79 – 61.21
B.   58.68 – 61.32
C.   56.23 – 63.97
D.   57.99 – 62.01
Question #30
A manufacturer of solar energy batteries has recently develped an energy efficient battery. He has hired a researcher to test the battery for its expected hours of sustained operation of maintaining its electric charge. The consultant is given a sample of 40 batteries to test and determines a standard deviation of 3.0 hours and a mean of 60 hours. Which of the following is an accurate interpretation, based on your calculated 95% and 99% confidence intervals?
A.   The true population mean less than 60
B.   The estimated population mean is precisely 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

Need help with your exam preparation?