Linked Questions
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How do I interpret the results of this SPSS paired samples t test?
Paired samples statistics (table 1): pretest score mean= 41.6667, post test score mean= 93.3333, N=3
Paired samples correlations (table 2) Correlations= -.277 , Sig.=.821
Paired samples Test (Table ...
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Accept null hypothesis with uncertainty
I have data on weight of a group of people after and before a diet. I want to see if weight loss is distributed normally.
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5
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428
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Why one result is so wide in this logistic multiple regession
I am doing multiple logistic regression with data with 24 predictor variables and 193 rows.
All predictor variables have values of 0 or 1 and outcome variables (OUTVAR) also has only 2 possibilities. ...
2
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2
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636
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If one group has 23 participants and the second group has 117 participants in it, can we rely on the result of t-test? [duplicate]
I was evaluating a research paper in which the authors have 23 male participants and 117 female participants. They have applied t-test to calculate Gender differences and have even concluded on ...
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Comparing classification results from models selected differently with Kruskal-Wallis
For a seminar at university I'm reviewing a paper that proposes a new feature selection algorithm. The authors also evaluated their algorithm by applying it beside two other feature selection ...
4
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891
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Intuition with chi squared test and large frequencies
I'm working with categorical data and want to run a chi squared test. I want to test the frequencies:
A = list(12455, 11554, 11908, 13416, 12647, 7828, 10172)
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Is it possible to simultaneously call multiple regression coefficients significant?
Okay, this is a thought experiment:
Suppose you have a dataset with 40 covariates. Suppose the data has every nice theoretical property you could want: randomly sampled, variables not correlated, etc....
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Explaining Non-Significant Moderations
Schools often teach us how to conduct and interpret Moderations. What they don't teach us is how to explain why a moderation didn't work out for statistical/methodological reasons.
Assuming that the ...
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2
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How to tell if my mean values are not significantly different? [duplicate]
I am looking to test if two mean and standard deviation values I obtain are not significantly different (comparing a sensor method to the gold standard).
I am planning on using a two-tailed t-test in ...
3
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3
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148
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Why can a likelihood ratio not give evidence for the null since it is a model comparison?
I am curious as to why a likelihood ratio cannot give positive evidence for the null, since it is a model comparison.
Indeed, this is more confusing given the fact that Bayes Factors are similar ...
4
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432
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Longitudinal paired analysis
I need your advice regarding a complicated design.
I am testing data regarding new eye drops that suppose to decrease some quantitative measure.
For every subject, one eye is randomly assigned with ...
2
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1
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Interpretting the p-value when inverting the null hypothesis
I'm performing an analysis by fitting data points to an exponential distribution and testing the adequacy of this fit using the Kolmogorov-Smirnov test.
The standard ks test null hypothesis: the data ...
4
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1
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TOST and its two null hypotheses
Background
I have a device which is used to size potatoes. I want to use statistics to assess how accurate this device is.
To that end, I've collected two data sets, $X$ and $Y$, where $X$ is the set ...
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0
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373
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Two way ANOVA or ANCOVA
I need to show that BMI of adults is neither age nor gender specific. Should I do ANCOVA or randomly make age groups and do two way ANOVA?
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If my normality test is non-significant, am I safe to use the t-test?
I took a 30 unit sample from a population. The sample distribution resulted to be normal. Can I state that the population distribution is normal too? If so, with what level of confidence?