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Research Quiz

The document covers various statistical tests including paired-sample t-tests, independent samples t-tests, one-sample t-tests, ANOVA, and regression analysis. It outlines their purposes, assumptions, hypotheses, and interpretations of results, as well as sampling techniques and errors. Key concepts such as significance levels, Type I and Type II errors, and correlation coefficients are also discussed.
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0% found this document useful (0 votes)
7 views5 pages

Research Quiz

The document covers various statistical tests including paired-sample t-tests, independent samples t-tests, one-sample t-tests, ANOVA, and regression analysis. It outlines their purposes, assumptions, hypotheses, and interpretations of results, as well as sampling techniques and errors. Key concepts such as significance levels, Type I and Type II errors, and correlation coefficients are also discussed.
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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 What is the primary purpose of a paired-sample t-test?

b) To compare the means of two related groups

 Which of the following is NOT an assumption of a paired-sample t-test?


c) The dependent variable should contain outliers

 If the significance level (α) is set at 0.05, what does this mean?
a) We are 95% confident in our conclusion

 What is the null hypothesis (H₀) for a paired-sample t-test?


b) The difference between the two means is zero

 Which of the following is an example of a one-tailed alternative


hypothesis?
c) μD > 0

 What is a Type I Error in hypothesis testing?


c) Rejecting a true null hypothesis

 In the example involving cholesterol levels, why was the null hypothesis
not rejected?
c) The test value was in the noncritical region

 In SPSS, what should be examined to determine whether to reject the null


hypothesis?
c) The p-value (Sig. 2-tailed)

 What is another name for the Independent Samples t Test?


c) Student’s t-test

 When should an Independent Samples t Test be used instead of a Z-test?


a) When the population mean and standard deviation are unknown

 Which of the following is NOT an assumption of the Independent Samples t


Test?
b) The two samples are dependent on each other

 What does a larger t-score indicate in an Independent Samples t Test?


c) There is a greater difference between the two groups

 Which of the following is the correct formula for calculating degrees of


freedom (df) in an Independent Samples t Test?
b) df=(nA−1)+(nB−1)

 A researcher conducts an Independent Samples t Test to compare the


effect of two teaching methods on student performance. What is the null
hypothesis (H₀)?
b) The mean scores of the two teaching methods are equal

 If the calculated t-value is -1.69 and the critical t-value from the table is
2.101, what should be the conclusion?
b) Fail to reject the null hypothesis

 In an SPSS analysis of an Independent Samples t Test, a p-value of 0.000 is


obtained. What does this result suggest?
c) There is a highly significant difference between the groups

 What is the primary purpose of a one-sample t-test?


b) To determine whether an unknown population mean differs from
a specific value

 Which of the following is NOT a requirement for using a one-sample t-test?


c) The data must be categorical

 Why is the t-distribution used in a one-sample t-test instead of the normal


distribution?
b) The population standard deviation is unknown

 What happens if the calculated t-value falls within the region of rejection?
a) The null hypothesis is rejected

 What is the formula for calculating the t-statistic in a one-sample t-test?


a) t = (X−μ) / (s / √n)

 What does the degrees of freedom (df) represent in a one-sample t-test?


a) The number of independent values that can vary in the sample

 If a researcher sets the significance level at 0.05, what does this mean?
a) The probability of committing a Type I error is 5%

 In hypothesis testing, what is the consequence of committing a Type II


error?
b) Failing to reject a false null hypothesis

 What is the primary purpose of ANOVA?


b) To compare the means of three or more samples

 What are the two classifications of ANOVA?


b) One-Way ANOVA and Two-Way ANOVA

 In a One-Way ANOVA, what does the F-statistic represent?


b) The ratio of between-group variance to within-group variance
 What does the sum of squares (SS) measure in ANOVA?
b) The total variation within and between groups

 Which of the following statements about the regression equation y = a +


bx is correct?
c) "b" determines the steepness and direction of the relationship

 If the computed F-value is greater than the tabular F-value, what decision
should be made?
b) Reject the null hypothesis

 What does the within-group sum of squares (SS_w) represent?


b) The variation that cannot be explained by the factor under study

 Who introduced the concept of ANOVA?


b) Sir Ronald Fisher

 What does the Pearson Product Moment Correlation Coefficient measure?


a) The strength and direction of a linear relationship between two
variables

 Which of the following best describes a scatterplot?


b) A diagram that displays the relationship between two numerical
variables

 If the Pearson correlation coefficient (r) is equal to -1, what does this
indicate?
b) A perfect negative correlation

 If the computed Pearson r value is 0.75, how would you interpret the
relationship between the variables?
c) Strong positive correlation

 What does a Pearson correlation coefficient (r) of 0 indicate?


a) No linear relationship between the variables

 What is the primary assumption when using Pearson’s correlation


coefficient?
a) The variables must be normally distributed and have a linear
relationship

 Which of the following correlation coefficients suggests the weakest


relationship?
c) 0.02
 When interpreting the Pearson correlation coefficient, which of the
following statements is true?
c) A high correlation (close to 1 or -1) suggests a strong linear
relationship

 What is the primary purpose of simple linear regression?


b) To describe and investigate the relationship between two
quantitative variables

 Who first introduced the concept of regression in statistics?


b) Sir Francis Galton

 In simple linear regression, what is the independent variable also known


as?
c) Predictor variable

 Which of the following is an example of a deterministic relationship?


a) Temperature conversion from Fahrenheit to Celsius

 What does a positive linear relationship indicate in simple linear


regression?
c) As one variable increases, the other also increases

 Which of the following is NOT an assumption of simple linear regression?


b) The dataset must include at least three variables

 What is the equation of a simple linear regression line?


c) y = a + bx

 How do you determine the best-fitting regression line?


a) By minimizing the sum of squared errors

 In a scatter plot for simple linear regression, where is the independent


variable (x) placed?
b) On the x-axis

 What does it mean if the slope (b) of a regression line is negative?


c) The dependent variable decreases as the independent variable
increases

 What is the primary purpose of inferential statistics?


b) To discover patterns and make predictions about a population
based on a sample
 What statistical tool is commonly used in inferential statistics to determine
whether data supports or rejects a hypothesis?
c) Test of significance

 Which of the following best describes statistical significance?


b) It determines the likelihood that an observed relationship in data
is due to chance

 Which of the following is NOT a commonly used test of significance?


d) Standard deviation test

 Why do researchers use samples instead of studying the entire


population?
b) Collecting data from the whole population is often impractical or
expensive

 What is sampling error?


b) The error that occurs when a sample does not perfectly represent
the population

 Which sampling technique ensures that every individual in a population


has an equal and independent chance of being chosen?
c) Random sampling

 In which probability sampling technique does the researcher select every


nth individual after randomly picking the first participant?
b) Systematic sampling

 Which sampling method is most appropriate when dividing a population


into subgroups based on characteristics like age or gender?
b) Stratified sampling

 What is a key difference between probability and non-probability


sampling?
a) Probability sampling is based on random selection, while non-
probability sampling is based on researcher judgment or
convenience

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