By which other name is the chi-square goodness of fit test known? Two sample chi-square Directional chi-square One-sample chi-square None of these Wilcoxon Chi-square Anova What type of data do you need for a chi-square test?
Interval Ratio Parametric Ordinal Scales Categorical How many variables do you need to run a one-sample chi-square analysis? At least 4 At least 5 At least 2 At least 3 There are no restrictions You should only have 1 What is the purpose of a goodness-of-fit test? To assess whether several categorical variables are related To assesses whether the central tendency, variability and distribution of sample is different from that of the population To extract factors from the data To find relationships in the data To assess whether there is a significant difference between a collection of categorical data To identify significant effects How many cases need to appear in one category for chi-square?
You can exclude outliers You can increase your sample size or combine categories None of these You have to redo your experiment You can transform your data You can add more of the same number In which section of the SPSS output will you find the chi-square analysis? Observed N Anova Test statistics box Within group comparisons Between group comparisons Expected N What does a significant result in a chi-square test imply?
All of these are possible That there is a significant negative relationship That there is a significant positive relationship That homogeneity of variance has not been established It implies that the sample is not representative of the population That there is a significant difference between the three categorical variables included in the analysis What symbol is used to represent chi-square? That there is no significant difference between time 1 and time 2 That there is a significant relationship between categorical variables That there is no significant difference between categories That there is a significant relationship between the sample and the population That there is a significant difference between the sample and the population That there is no significant difference between the sample and the population By which other name is a chi-square contingency table analysis known?
Paired samples chi-square test Directional chi-square Directional chi-square test One-sample chi-square Independent samples chi-square test Chi-square test for independence Chi-square test for independence assesses which of the following? It assesses whether there is a relationship between two categorical variables None of these It assesses whether the minimum number of cases exceeds recommended boundaries It assesses whether there is a significant difference between two categorical variables It assesses whether there is significant difference between scores taken at time 1 and those taken at time 2 It assesses whether there is a relationship between the population and the sample Which tests could be used if your expected cases were fewer than 5?
Anova or Manova All of these Fisher's Exact Probability Test or Yates' Continuity Correction Paired or independent t-tests Cronbach's alpha or content analysis Pearson or Spearman's correlations Which row would you normally consult to find your chi-square results in a Chi-square test for independence all assumptions being met?
Likelihood ratio Linear-by-linear association Continuity correction N of valid cases Fisher's exact test Pearson chi-square What is an effect size? The p value The likelihood of type 1 and type 2 errors The magnitude of the relationship between variables The number of expected cases The chi-square value The variance explained by the measures The Submit Answers for Grading feature requires scripting to function. Your browser either does not support scripting or you have turned scripting off.
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Chapter 4: Chi-square analysis. Chapter 4: Multiple Choice Questions.
Two sample chi-square. Directional chi-square. One-sample chi-square. None of these. Chi-square Anova. What type of data do you need for a chi-square test? How many variables do you need to run a one-sample chi-square analysis? At least 4.Cytotoxicity b. Allergy c. Cell division d. Production of IL Polysaccharide of bacterial origin b.
Small proteins of bacterial origin c. Bacterial nucleic acids d. Viral nucleic acids. Which of the following statement is true about Th-1 cells? They do not express CD4 c. They don not binds to soluble proteins d. They don not activate macrophages. Select the false statement about T cells.
T cells do not produce the IL-2 b. T cells will not respond to IL-4 c. T cells will not respond to IL-2 d. T cell mediate their functions only through cell to cell contact. Which among the following can inhibit inflammation? Neuropeptide Y d.
Protein C. The antigen presentation by endogenous pathway involves:. Antigen presentation to cytotoxic T cells b. Antigen presentation to Th-1 cells c. Antigen presentation to B cells d. Select the wrong statement from the following regarding the receptors of innate immune system:.
They are included in the Toll family of receptors b. They include MHC complexes c. They recognize the molecular patterns d. They include scavenger receptors. Class I MHC determinants b. IL-2 b. IL-3 c. IL-5 d. Which of the following statement is true about TNF alpha? Can increase the expression of adhesion molecules b. Decrease vascular permeability c.An independent t-test can be used to assess which of the following?
It assesses differences between two groups of participants It assesses how many factors there are in questionnaire data It assesses relationships between two interval data sets It assesses goodness of fit It assesses differences between scores obtained on two separate occasions from the same participants It assesses relationships between two ratio data sets A repeated measures t-test can be used to assess which of the following? It assesses differences between scores obtained on two separate occasions from the same participants It assesses differences between two groups of participants It assesses goodness of fit It assesses relationships between two interval data sets It assesses relationships between two ratio data sets It assesses how many factors there are in questionnaire data Conducting multiple t-tests increases the likelihood of which of the following?
Finding correct conclusions Accurate interpretation of the data Type II error Homogeneity Type I error Establishing normality How can the chance of committing a Type I error be reduced when performing multiple comparisons? None of these Transform the data using square root Check for homogeneity and normal distribution Transform the data using a quadratic equation Remove outliers Apply the Bonferroni correction to adopt a more stringent significance criterion or use more appropriate tests for multiple comparisons What assumption s must be met to conduct an independent-samples t-test?
The data from the dependent variable must be interval or ratio The data from two cases are not linked in any way There must be random sampling of cases The data from the dependent variable must be normally distributed All of these There is equal variance in scores between the groups In which of the following cases would an independent-samples t-test not be appropriate?
Comparing the attitudes of Eastern and Western individuals Comparing levels of aggression between 1 group who experienced high levels of excitation and 1 group who remained calm Comparing men and women's IQ on one occasion Comparing the performance of individuals who either consumed caffeine or did not Comparing younger and older adults level of teamwork Comparing students attitude change between the start and end of their degree Which of the following statistics are important when interpreting an independent samples t-test?
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Mean difference Descriptive statistics T scores All of these Significance level Levene's test What should Levene's test be in order to use the 'equal variance assumed' row of a t-test? Levene's test column The correlation coefficient box The descriptive statistics box T-test for equality of mean section The confidence interval columns The F column Which of the following formats is correct for reporting an independent samples t-test in APA format? Spearman's Rho Unrelated t-test Pearson's Product-Moment A Wilcoxon test Chi-squared test of difference A paired-samples t-test In which of the following cases could you use a paired-samples t-test?
When comparing men and women's scores When assessing goodness of fit When assessing three groups or more When comparing two separate groups When assessing relationships between two groups When comparing the same participants performance before and after training What are matched cases?
Scores obtained from the same participants at time 1 and time 2 are standardized and compared A way of transforming data to make it more normally distributed Scores obtained from the same participants at time 1 and time 2 are not standardized but compared A tool for adjusting the alpha criterion Scores are obtained from a second group of participants who are matched on vital characteristics with the first group of participants Scores are compared across two distinct groups of participants Which section of a paired-samples t-test output can be ignored?
Means Standard deviations The t, df and Sig. Your browser either does not support scripting or you have turned scripting off. So, the Submit Answers for Grading button below will not work. The following Submit Answers for Grading button is provided in its place and will clear your answers: The Clear Answers and Start Over feature requires scripting to function.
So, the Clear Answers and Start Over button below will not work. The following Clear Answers button is provided in its place and will clear your answers:. Student Resources. Multiple choice questions. Chapter 6: Multiple Choice Questions. It assesses differences between two groups of participants. It assesses how many factors there are in questionnaire data.
It assesses relationships between two interval data sets. It assesses goodness of fit. It assesses differences between scores obtained on two separate occasions from the same participants.
It assesses relationships between two ratio data sets. A repeated measures t-test can be used to assess which of the following? Conducting multiple t-tests increases the likelihood of which of the following? Finding correct conclusions. Accurate interpretation of the data. Type II error.In this Statistics Questions and Answers section you can learn and practice Statistics Questions and Answers to improve your skills in order to face technical interview conducted by organizations.
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A numerical value used as a summary measure for a sample, such as sample mean, is known as a A. Report Error. In a week the prices of a bag of rice were ,,The range is A.
The mean of a distribution is 14 and the standard deviation is 5. What is the value of the coefficient of variation? The sum of the percent frequencies for all classes will always equal A. Which of the following is not based on all the observations? Arithmetic Mean B. Geometric Mean C. Harmonic Mean D.Notice: Visit gmstat.
These tests are also helpful in getting admission in different colleges and Universities. The Estimation and Hypothesis Testing Quiz will help the learner to understand the related concepts and enhance the knowledge too. Please enter your email:. In testing for the difference between two populations, it is possible to use. The Runs test results in rejecting the null hypothesis of randomness when. Three brands of coffee are rated for taste on a scale of 1 to Six persons are asked to rate each brand so that there is a total of 18 observations.
The appropriate test to determine if three brand taste equally good is. Kuwait university. This site uses Akismet to reduce spam. Learn how your comment data is processed.
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Skip to content mimdadasad gmail. Please enter your email: 1. The sign test is. Less Powerful than that of the Wilcoxon signed-rank test.
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More Powerful than the paired sample t-test. More Powerful than the Wilcoxon signed-rank test. Equivalent to Mann-Whitney test. The Spearman Rank-Correlation test requires that the.
Data must be measured on the same scale. Data should be of ordinal scale at least. Data must be from two independent samples. Data must be distributed at least approximately as t-distribution.
To perform a Runs test for randomness the data must be. Divided into at least two classifications. Divided into exactly two classification. Which of the following test must be two-sided? Wilcoxon Signed-Rank. Runs test. Sign test.
The Wilcoxon Rank-Sum test used to compare. Two populations. Three Populations. A sample mean to the population mean.We'll not spam mate! We promise. Hi, How are you.
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