To check whether our data is normally distributed before doing an ANOVA, we can:Question 1Answera.Do a scatterplot of the data and check the data looks normally distributedb.Do a QQplot on the whole dataset then check the data is a close fit to the line showing the function for a normal distributionc.Do a bar chart showing the means for each conditiond.Do a QQplot on the data for each condition separately then checking the data is a close fit to the line showing the function for a normal distribution

Checking Assumptions of Anova Flag QuestionUse the exact code below to generate data for 2 samples.import numpy as npfrom scipy.stats import normnp.random.seed(1)sample_1 = np.random.normal(size=1000)sample_2 = sample_1 + np.random.normal(size = 1000)We need to check if can apply ANOVA on these sample or not.Assumptions you need test:Is the data in both samples normally distributed?Does the distributions have the same variances ?Use 95% confidence level to test above assumtions with appropriate test.Select the correct option -    Shapiro test for checking Gaussian , Levene test for checking equal varaince, Conclusion : Both Samples follow normal distribution, Both Samples Have different variances    Leven test for checking Gaussian ,Shapiro test for checking equal varaince, Conclusion : Both Samples follow normal distribution, Both Samples Have equal variances    Leven test for checking Gaussian ,Shapiro test for checking equal varaince, Conclusion : Sample_2 doesn't follow normal distribution, Both samples Have different variances    Shapiro test for checking Gaussian , Levene test for checking equal varaince, Conclusion : Both Samples follow normal distribution, Both Samples Have equal variances

Which type of plot is best suited to seeing whether your data is normally distributed?Question 1Answera.ggqqplot() from the ggpubr libraryb.ggbarplot() from the ggpubr libraryc.ggdotchart() from the ggpubr libraryd.ggscatter() from the ggpubr library

you were performing inferential statistics on a large set of numerical data that was normally distributed then the best test to use would beSelect one:a.Anovab.chi squaredc.t-testd.z-test

A researcher was planning to carry out an independent sample t-test on their data, but the data is not normally distributed. What alternative test might they use to test for differences between conditions, if their experiment was on a small sample of <30 participants?Question 15Answera.Levene's testb.Shapiro-Wilk testc.Mann-Whitney U testd.Wilcoxon test

Question. How to perform Hypothesis test for mean of a normal distribution with known/unknown variance?  What test statistics are used, respectively? Decision Rules? How to determine the Null and Alternative hypothesis? One-sided or two sided?Question. Ask ChatGPT to give examples.