UMCP Psychology Statistics Sampling Convenience Sample & Validity Exam Practice 50 questions in totalAll questions are multiple choicePlease select right a

UMCP Psychology Statistics Sampling Convenience Sample & Validity Exam Practice 50 questions in totalAll questions are multiple choicePlease select right answers by highlighting themplease let me know if there’s anything else u need Bowie state university
College of Professional studies
Department of psychology
Assignment 2 for statistics I
Due: March 8, 2020 Time 11:59 PM
Read Chapters 4-6 to Answer these selected question of multiple choice: 1 point each
1.
Individuals are selected at random for a study from a list of members of Girl Scout troops to
represent the population of girls aged 8–13. This sampling is ______ sampling.
A. simple random
B. stratified random
C. haphazard/volunteer
D. cluster
2. Individuals are selected at random from a list of phone numbers to be called for a survey
making the sampling used a ______ sampling.
A. simple random
B. stratified random
C. haphazard/volunteer
D. cluster
3. Volunteers are selected from students such that the proportion of students in each age range
in the sample matches the proportion in the population, using ______ type of sampling.
A. quota samples
B. stratified random samples
C. haphazard/volunteer samples
D. cluster samples
4. Convenience samples will likely increase the amount of sampling error in the study, lowering
its ______ validity by making a test of the hypotheses less accurate.
A. external
B. sample
C. haphazard
D. internal
5. The most common type of convenience sample used by psychologists is the ______ sample.
A. simple random
B. cluster
C. haphazard
D. stratified random
6. The percentage of people out of the total number available who respond to a survey is called
the ______.
A. response rate
B. reply speed
C. response speed
D. percentage rate
21. Convenience samples are also called ______.
A. volunteer samples
B. haphazard samples
C. cluster samples
D. purposive samples
7. The ______ is not a probability sample.
A. simple random sample
B. stratified random sample
C. cluster sample
D. haphazard sample
8. Unlike a stratified random sample, the ______ sample will make use of convenience
sampling techniques such as recruiting participants from a participant sign-up pool or asking
students sitting in the library to fill out the survey.
A. simple random
B. quota
C. volunteer
D. haphazard
9. Experiments that require ______ of stimuli can be reproduced for presentation on the Internet
to individual participants.
A. systematic presentation
B. double-blind protocol
C. repeated measures
D. random presentation
10. ______ participants may be more likely to respond to e-mail contacts, whereas ______
participants may be more likely to respond to phone contacts.
A. Younger; older
B. Older; younger
C. Male; female
D. Female; male
11. Probability samples can ______ the amount of sampling error that exists in a study.
A. increase
B. double
C. reduce
D. eliminate
12. In a simple random sample, if a population has 100 individuals, the chance of any one
individual being selected for the sample is ______.
A. 1 in 100
B. 50 in 100
C. 4 in 100
D. 10 in 100
13. Convenience samples make it more difficult to generalize the results of the study to the
population, lowering its ______.
A. internal validity
B. external validity
C. power
D. probability
14. Convenience samples likely increase the amount of sampling error in the study, lowering its
______.
A. internal validity
B. external validity
C. power
D. probability
15. A sample chosen such that individuals are chosen with a specific probability is ______
sampling.
A. convenience
B. haphazard
C. volunteer
D. probability
16. If I set my alarm to read 8:10 when it is really 8:00 (i.e., it is 10 min fast) and the alarm goes
off each day when it reads 8:10, it will be ______ but not ______.
A. valid; reliable
B. reliable; valid
C. accurate; testable
D. parsimonious; falsifiable
17. A specific type of archival data observation technique that involves analysis of what
someone has said or written is ______.
A. content analysis
B. transcription
C. construct validity
D. historical review
18. The ______ a question is asked can affect the response that is given.
A. time
B. order
C. way
D. length of
19. Due to exploratory nature, case studies often focus on ______ cases to gain some information
about a behavior that is not exhibited by all individuals.
A. abnormal
B. rare or unusual
C. sporadic
D. typical
20. Suppose a psychologist developed a test to measure intelligence, but this test was poorly
developed and really only measured how well people perform on standardized tests (in other
words, it doesn’t actually measure intelligence). This test would lack ______.
A. inter-rater reliability
B. test–retest validity
C. construct validity
D. parsimony
21. When different observers of behavior record the behavior in a similar way, the measure is
said to have good ______.
A. inter-rater reliability
B. test–retest validity
C. construct validity
D. parsimony
22. A(n) ______ variable is predicted by the predictor variable in correlational studies.
A. third
B. independent
C. outcome
D. dependent
23. The small-n designs are often conducted as ______ studies.
A. experimental
B. quasi-experimental
C. correlational
D. post-test
24. A variable that affects the results of the study but is not a variable of interest in the study is
called a(n) ______ variable.
A. independent
B. dependent
C. subject
D. confound
25. A positive relationship means that the values on the variables change in ______ direction at
the same time.
A. the same
B. the opposite
C. an equal
D. random
26. Measuring intelligence using the score on an IQ test is an example of ______.
A. reliability
B. an operational definition
C. an independent variable
D. maturation
27. The reason that researchers cannot determine causation from correlational studies is referred
to as the ______ problem.
A. predictor variable
B. control variable
C. third variable
D. outcome variable
28. The comparison across the levels of the independent variable provides the ______.
A. test of the hypothesis
B. type of treatment
C. amount of treatment
D. level of treatment
29. The causal relationship between the independent and dependent variables will be unclear if
______ are not controlled.
A. subject variables
B. independent variables
C. dependent variables
D. confounding variables
30. Confounding variables primarily threaten the ______ of a study.
A. external validity
B. internal validity
C. reliability
D. third variable
31. ______ is a representation of a typical score in a distribution.
A. Central limit theorem
B. Central tendency
C. Central distribution
D. Central limit tendency
32. ______ is the average score in a set of data.
A. Mean
B. Median
C. Mode
D. Central tendency
33. ______ is the middle score in a distribution, such that half of the scores are above, and half
are below that value.
A. Mean
B. Median
C. Mode
D. Central tendency
34. ______ is the most common score in a distribution.
A. Mean
B. Median
C. Mode
D. Central tendency
35. ______ is the most commonly reported measure of central tendency.
A. Mean
B. Median
C. Mode
D. Central tendency
36. Because the ______ is simply the average of the scores, to calculate the mean, you simply
need to add up all the scores and then divide by the number of scores.
A. mean
B. median
C. mode
D. central tendency
X
37. In this calculation, Mean = X =
what does X stand for?
n
A. central tendency
B. sample mode
C. sample median
D. sample mean
X
38. In this calculation, X =
what does the  symbol (called a sigma) indicates that you
n
should ______.
A. average whatever comes after this symbol
B. add up whatever comes after this symbol
C. subtract whatever comes after this symbol
D. multiply whatever comes after this symbol
X
39. In this calculation, X =
, the n stands for the ______ in the sample.
n
A. mean population
B. mean distribution
C. number of scores
D. sum of squares
40. Many standardized tests have a known ______.
A. population mean
B. distribution
C. sample mean
D. central tendency
X
41. This formula, μ =
is used to calculate ______.
N
A. the total number of scores
B. sample population
C. population mean
D. population distribution
X
42. In this formula, μ =
, what does the  symbol stand for?
N
A. the total number of scores
B. sample population
C. population mean
D. population distribution
43. In this formula, Population mean = μ =
X
, the N stands for ______.
N
A. the total number of scores
B. sample population
C. population mean
D. population distribution
44. One way to think of the mean of a distribution is as the balancing point of the ______.
A. population mean
B. distribution
C. sample mean
D. central tendency
45. By adding a low score to our data set, it will adjust the ______ to a lower value.
A. mean
B. median
C. mode
D. central tendency
46. ______ will bias the mean toward the high or low end of the scale, depending on whether
they are extremely high or extremely low.
A. Skew
B. Kurtosis
C. Outlier
D. Plots
47. The smaller our sample size and the more extreme the ______ is, the more the mean is
skewed.
A. skew
B. kurtosis
C. outlier
D. plots
48. These extreme scores caused by a(n) ______ will affect the mean in a skewed distribution.
A. skew
B. kurtosis
C. outlier
D. plots
49. Another way to describe ______ is that it is a value where 50% of the scores in the
distribution are at that value or lower.
A. mean
B. median
C. mode
D. central tendency
50. ______ is reported less often than the mean as a measure of central tendency.
A. Mean
B. Median
C. Mode
D. Central tendency

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