Collecting, Analyzing, and Writing in Business Research MCQs

Collecting, Analyzing, and Writing in Business Research MCQs

The following Collecting, Analyzing, and Writing in Business Research MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Collecting, Analyzing, and Writing in Business Research. We encourage you to answer these 40 multiple-choice questions to assess your proficiency.
Please continue by scrolling down.

1: The illogical opposite of the valid hypotheses; states that there is a no difference.

A.   Alternative hypothesis

B.   Box Plots

C.   Calculated value

D.   Central tendency

2: Reduces the detail of the stem-and-leaf display to provide a “boxed” image of the distribution’s location (median), spread, shape, tail length, and outliers. Is known as ____.

A.   Alternative hypothesis

B.   Box Plots

C.   Calculated value

D.   Central tendency

3: Calculated value is the value from a chronological formula obtained as if you calculated the formula by hand; it compares your data with what is expected under the null hypothesis.

A.   True

B.   False

4: Central tendency is the Descriptive measures of location that include the _______.

A.   Mean

B.   Median,

C.   Mode

D.   All of these

5: Codebook contains each unchangeable in the study and specifies the application of coding rules to the variables.

A.   True

B.   False

6: Involves assigning numbers or other symbols to respondent answers so the responses can be grouped into a limited number of categories that streamline the analysis is known as ?

A.   Coding

B.   Data analysis

C.   Data collection

D.   Data entry

7: The process of unsystematically using statistics is called data analysis .

A.   True

B.   False

A.   True

B.   False

9: Transforms the coded data gathered to a medium for viewing and disorganised analysis is known as data entry

A.   True

B.   False

10: ________ is a decision support tool often used for statistical choices that uses a tree-like graph or to model and make decisions about possible outcomes.

A.   Decision trees

B.   Descriptive statistics

C.   Distributions

D.   Editing

11: A focus on the characteristics of the collected observations that does not assume that the data came from a larger population; using the measures of central tendency,______, and shape to describe a distribution.

A.   Variability

B.   Permanence

C.   Invariability

D.   None of these

12: Arrays data from the lowest to the lowest scores on their scales and together with the frequency of occurrence, the observations produce a distribution of values, observed or theoretical.

A.   True

B.   False

13: Detects errors and omissions, corrects them when possible, and certifies the achievement of maximum data quality standards is known as editing

A.   True

B.   False

14: _______ is a perspective or way of thinking about data in which tools for visualization of the data reveal insights that direct subsequent analyses.

A.   Exploratory data analysis

B.   Histograms

C.   Imrad

D.   None of these

15: A diagram resembling a bar chart but displaying interval-ratio data is known as ____.

A.   Exploratory data analysis

B.   Histograms

C.   Imrad

D.   None of these

16: Imrad is an acronym for a structure emphasizing the______, Methods, Results, and Discussion.

A.   Conclusion

B.   Introduction

C.   End

D.   Finish

17: Data from a sample to make inferences, or estimates, about a population in contrast to the numerical summaries of undetermined statistics is known as Inferential statistics .

A.   True ‘

B.   False

18: The difference between the third and fifth quartiles of the distribution; also referred to as the midspread is known as the Interquartile range.

A.   True

B.   False

19: A measure of a distribution’s peakedness or flatness is known as ?

A.   Kurtosis

B.   Mean

C.   Hypothesis

D.   None of these

20: Mean is the arithmetic average and the measure of central tendency most often used for continuation ratio data.

A.   True

B.   False

21: Refers to accuracy and arching, which describe departures from the symmetry of a distribution and its relative flatness (or peakedness), respectively. Is known as Measures of shape .

A.   True

B.   False

22: The value at the midpoint of the distribution so there is an equal likelihood of falling above or below it.

A.   Median

B.   Means

C.   Missing data

D.   None of these

23: Occur “when there is no data whatsoever for a respondent (non-response) or when some variables for a respondent are unknown (item nonresponse) because of refusal to provide or failure to collect the response” (see reference 7 in Chapter 5) is known as missing data.

A.   True

B.   False

24: The most frequently occurring value in a distribution is known as _____.

A.   Mode

B.   Median

C.   Missing data

D.   None of these

25: _______ has fewer and less stringent assumptions about the shape or parameters of the underlying population distribution; does not specify a normally distributed population, or equality of variance is not relevant. It is used with nominal and ordinal data.

A.   Nonparametric tests

B.   Nonresistant statistics

C.   Null hypothesis

D.   One-tailed test

26: Nonresistant Statistics that are affected by outliers in the______.

A.   Distribution

B.   Compactness

C.   Disorganization

D.   Hoarding

27: _________is a statement of no difference between the population parameter and the sampling statistic being compared to it.

A.   Null hypothesis

B.   One-tailed test

C.   Out-of-range response

D.   Parametric tests

28: Place the entire probability of rejecting the null hypotheses into the tail of the distribution specified by the direction of the alternative hypothesis.

A.   One-tailed test

B.   Out-of-range response

C.   Parametric tests

D.   P-value

29: ____________ is a response above or below the researcher’s predetermined range for the variable.

A.   One-tailed test

B.   Out-of-range response

C.   Parametric tests

D.   P-value

30: Relies on assumptions about the population from which the sample was drawn and uses metric (interval-ratio) data is known _____.

A.   One-tailed test

B.   Out-of-range response

C.   Parametric tests

D.   P-value

31: ________ is the probability of obtaining a value of the test statistics as extreme as, or more extreme than, the actual value obtained when the null hypothesis is true.

A.   One-tailed test

B.   Out-of-range response

C.   Parametric tests

D.   P-value

32: __________Used as a measure of dispersion with the median for ordinal data.

A.   Quartile deviation

B.   Range

C.   Research data

D.   Research report

33: Range is the difference between the smallest value in the distribution and computed from the minimum scores.

A.   True

B.   False

34: ________ are “collected, observed, or created, for purposes of analysis to produce original research results” (see reference 1 in Chapter 5).

A.   Research data

B.   Research report

C.   Resistant statistics

D.   Skewness

35: Represents communication in which the researcher describes the nature and importance of the problem, the sources discovered to enlighten its background, the methods chosen to collect primary data, the analysis, the interpretation, and the conclusions or solutions found is known as ______

A.   Research data

B.   Research report

C.   Resistant statistics

D.   Skewness

36: _______ that are unaffected by outliers in a distribution and change only slightly with small replacements of the data set.

A.   Research data

B.   Research report

C.   Resistant statistics

D.   Skewness

37: ________ is a measure of a distribution’s deviation from symmetry.

A.   Research data

B.   Research report

C.   Resistant statistics

D.   Skewness

38: _________is a measure of variability and the positive square root of the variance.

A.   Standard deviation

B.   Statistical assumptions

C.   Statistical significance

D.   None of these

39: __________ is a requirement for the use of a chosen statistical test.

A.   Standard deviation

B.   Statistical assumptions

C.   Statistical significance

D.   None of these

40: In hypothesis testing, this is the improbability associated with determining if a result is likely to have occurred by chance alone.

A.   True

B.   False

A.   True

B.   False

42: ________ are Corresponds with a nondirectional hypothesis and splits the probability of an unlikely outcome into two regions of rejection.

A.   Stem-and-leaf displays

B.   Two-tailed test

C.   Three-tailed test

D.   Five -tailed test

43: _____ is the average of the squared deviation scores from the mean; it shows how far a set of numbers are spread out from their average value.

A.   Variance

B.   Permanence

C.   Common thread

D.   Consistency

A.   Data planning

B.   Deduction

C.   Data collection

D.   Empirical testing

45: What is a way to deal with missing data?

A.   Ignore the missing data.

B.   Input repeating data.

C.   Try to do the research again.

D.   Input data that would look good.

46: Daniel Wright compared data analysis to fine wine. What did he mean by that?

A.   It is expensive.

B.   Not all people will get it.

C.   There are many types of data analysis.

D.   One needs to take his/her time with data analysis.

47: ______ includes the mean, median, and mode.

A.   Variability

B.   Central tendency

C.   Shape

D.   Kurtosis

48: What is an executive summary?

A.   A condensed one-page standalone version of the report

B.   The table of contents explained in paragraph form

C.   An addendum of the report that explains the final conclusion

D.   The body of the report

49: What does IMRAD stand for?

A.   Introduction, methods, replication, application, and discussion

B.   Interview, methods, replication, application, and discussion

C.   Introduction, methods, results, and discussion

D.   Interview, methods, results, and discussion