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		<title><![CDATA[ForumTotal.com - Data Science & Statistics]]></title>
		<link>https://forumtotal.com/</link>
		<description><![CDATA[ForumTotal.com - https://forumtotal.com]]></description>
		<pubDate>Sun, 19 Jul 2026 21:11:49 +0000</pubDate>
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			<title><![CDATA[Python vs R for data science tasks—performance and usability compared]]></title>
			<link>https://forumtotal.com/thread/python-vs-r-for-data-science-tasks%E2%80%94performance-and-usability-compared</link>
			<pubDate>Sat, 27 Jun 2026 01:48:21 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=1950">Oliver_D</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/python-vs-r-for-data-science-tasks%E2%80%94performance-and-usability-compared</guid>
			<description><![CDATA[I did exactly what the top-voted guide on this forum said. Installed Tableau Public, downloaded the Superstore sample data, followed the tutorial step by step. Drag this to Columns, that to Rows, drop a filter here, click Show Me. And I ended up with something that looked nothing like the clean, colorful dashboard they showed. The bars were misaligned, the labels overlapped into unreadable blobs, and the map plotted sales data over the wrong continent. I double-checked every click. Tried it three times with fresh starts. Same result each time. The guide had hundreds of upvotes, so I assumed the problem was me, but I literally cannot find where I deviated from the instructions. The sample data they used might have been a different version or cleaned before the tutorial started, but the post didn't mention any preprocessing. I'm not looking for "just practice more" or "try a different tool." I want to know specifically what the most common hidden pitfalls are when following that exact Tableau Public tutorial, and what steps the guide assumes you already know but doesn't say out loud. If you've taught beginners before, what detail do you always have to correct that no one writes down in the popular walkthroughs?]]></description>
			<content:encoded><![CDATA[I did exactly what the top-voted guide on this forum said. Installed Tableau Public, downloaded the Superstore sample data, followed the tutorial step by step. Drag this to Columns, that to Rows, drop a filter here, click Show Me. And I ended up with something that looked nothing like the clean, colorful dashboard they showed. The bars were misaligned, the labels overlapped into unreadable blobs, and the map plotted sales data over the wrong continent. I double-checked every click. Tried it three times with fresh starts. Same result each time. The guide had hundreds of upvotes, so I assumed the problem was me, but I literally cannot find where I deviated from the instructions. The sample data they used might have been a different version or cleaned before the tutorial started, but the post didn't mention any preprocessing. I'm not looking for "just practice more" or "try a different tool." I want to know specifically what the most common hidden pitfalls are when following that exact Tableau Public tutorial, and what steps the guide assumes you already know but doesn't say out loud. If you've taught beginners before, what detail do you always have to correct that no one writes down in the popular walkthroughs?]]></content:encoded>
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			<title><![CDATA[Should i use multiple imputation for monotone and intermittent missing data?]]></title>
			<link>https://forumtotal.com/thread/should-i-use-multiple-imputation-for-monotone-and-intermittent-missing-data</link>
			<pubDate>Fri, 17 Apr 2026 12:34:10 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=1436">CharlesL</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/should-i-use-multiple-imputation-for-monotone-and-intermittent-missing-data</guid>
			<description><![CDATA[I’m trying to decide on a robust method to handle missing values in a longitudinal survey dataset I’m analyzing, and I’m stuck on whether multiple imputation is the right approach for my case. My concern is that the missingness seems to be monotone for a key variable but intermittent for others, and I’m not fully confident my model assumptions are correct for the imputation process.]]></description>
			<content:encoded><![CDATA[I’m trying to decide on a robust method to handle missing values in a longitudinal survey dataset I’m analyzing, and I’m stuck on whether multiple imputation is the right approach for my case. My concern is that the missingness seems to be monotone for a key variable but intermittent for others, and I’m not fully confident my model assumptions are correct for the imputation process.]]></content:encoded>
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			<title><![CDATA[Should I use Poisson or negative binomial for overdispersed count data?]]></title>
			<link>https://forumtotal.com/thread/should-i-use-poisson-or-negative-binomial-for-overdispersed-count-data--4674</link>
			<pubDate>Fri, 10 Apr 2026 15:50:11 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=1908">LoganRJ</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/should-i-use-poisson-or-negative-binomial-for-overdispersed-count-data--4674</guid>
			<description><![CDATA[I’m trying to decide if I should use a Poisson or a negative binomial model for my count data on website visits per user session. The variance is about 1.8 times the mean, so it’s overdispersed, but I’m not sure if that’s enough to justify the added complexity of the negative binomial’s extra parameter.]]></description>
			<content:encoded><![CDATA[I’m trying to decide if I should use a Poisson or a negative binomial model for my count data on website visits per user session. The variance is about 1.8 times the mean, so it’s overdispersed, but I’m not sure if that’s enough to justify the added complexity of the negative binomial’s extra parameter.]]></content:encoded>
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			<title><![CDATA[How do I know if an A/B test result is real or just noise with overlapping CI?]]></title>
			<link>https://forumtotal.com/thread/how-do-i-know-if-an-a-b-test-result-is-real-or-just-noise-with-overlapping-ci</link>
			<pubDate>Fri, 10 Apr 2026 14:20:37 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=1727">EmmaET</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/how-do-i-know-if-an-a-b-test-result-is-real-or-just-noise-with-overlapping-ci</guid>
			<description><![CDATA[I’m trying to interpret the results of my A/B test for a new website feature, but I’m getting tripped up by the confidence interval overlapping zero. My point estimate suggests a positive lift, but that interval makes me question if the effect is real or just noise. How do you decide whether to call this a win or not?]]></description>
			<content:encoded><![CDATA[I’m trying to interpret the results of my A/B test for a new website feature, but I’m getting tripped up by the confidence interval overlapping zero. My point estimate suggests a positive lift, but that interval makes me question if the effect is real or just noise. How do you decide whether to call this a win or not?]]></content:encoded>
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		<item>
			<title><![CDATA[Should I use Poisson or negative binomial for overdispersed count data?]]></title>
			<link>https://forumtotal.com/thread/should-i-use-poisson-or-negative-binomial-for-overdispersed-count-data--4381</link>
			<pubDate>Fri, 10 Apr 2026 12:55:14 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=1924">Paisley_H</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/should-i-use-poisson-or-negative-binomial-for-overdispersed-count-data--4381</guid>
			<description><![CDATA[I’m trying to decide between using a Poisson or a negative binomial model for my count data on website errors per day. The variance is about 1.8 times the mean, so it’s a bit overdispersed, but I’m not sure if that’s enough to justify the more complex model.]]></description>
			<content:encoded><![CDATA[I’m trying to decide between using a Poisson or a negative binomial model for my count data on website errors per day. The variance is about 1.8 times the mean, so it’s a bit overdispersed, but I’m not sure if that’s enough to justify the more complex model.]]></content:encoded>
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			<title><![CDATA[How to pick between Poisson and negative binomial for overdispersed data?]]></title>
			<link>https://forumtotal.com/thread/how-to-pick-between-poisson-and-negative-binomial-for-overdispersed-data</link>
			<pubDate>Wed, 08 Apr 2026 22:27:01 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=2435">Avery66</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/how-to-pick-between-poisson-and-negative-binomial-for-overdispersed-data</guid>
			<description><![CDATA[I’m trying to decide if I should use a Poisson or a negative binomial model for my count data on website errors per day. The variance is about 1.8 times the mean, so I’m worried about overdispersion, but my sample is fairly small.]]></description>
			<content:encoded><![CDATA[I’m trying to decide if I should use a Poisson or a negative binomial model for my count data on website errors per day. The variance is about 1.8 times the mean, so I’m worried about overdispersion, but my sample is fairly small.]]></content:encoded>
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			<title><![CDATA[Should i use a paired t-test or wilcoxon signed-rank test for small n=15?]]></title>
			<link>https://forumtotal.com/thread/should-i-use-a-paired-t-test-or-wilcoxon-signed-rank-test-for-small-n-15</link>
			<pubDate>Wed, 08 Apr 2026 21:27:04 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=2202">Tyler10</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/should-i-use-a-paired-t-test-or-wilcoxon-signed-rank-test-for-small-n-15</guid>
			<description><![CDATA[I’m trying to decide whether to use a paired t-test or a Wilcoxon signed-rank test for my pre/post intervention analysis on a small sample (n=15). My data is continuous but the post-test scores don’t look normally distributed in the Q-Q plot, which makes me question the paired t-test assumption.]]></description>
			<content:encoded><![CDATA[I’m trying to decide whether to use a paired t-test or a Wilcoxon signed-rank test for my pre/post intervention analysis on a small sample (n=15). My data is continuous but the post-test scores don’t look normally distributed in the Q-Q plot, which makes me question the paired t-test assumption.]]></content:encoded>
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			<title><![CDATA[Should I switch from Poisson to negative binomial for overdispersed count data?]]></title>
			<link>https://forumtotal.com/thread/should-i-switch-from-poisson-to-negative-binomial-for-overdispersed-count-data</link>
			<pubDate>Wed, 08 Apr 2026 19:30:30 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=1321">Justin_B</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/should-i-switch-from-poisson-to-negative-binomial-for-overdispersed-count-data</guid>
			<description><![CDATA[I’m trying to decide if I should use a Poisson regression for my count data on website errors per day, but the variance is almost double the mean. I’ve read that this overdispersion means the model assumptions are violated, but I’m not sure what to use instead.]]></description>
			<content:encoded><![CDATA[I’m trying to decide if I should use a Poisson regression for my count data on website errors per day, but the variance is almost double the mean. I’ve read that this overdispersion means the model assumptions are violated, but I’m not sure what to use instead.]]></content:encoded>
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			<title><![CDATA[Should I use poisson regression or negative binomial for overdispersed counts?]]></title>
			<link>https://forumtotal.com/thread/should-i-use-poisson-regression-or-negative-binomial-for-overdispersed-counts</link>
			<pubDate>Wed, 08 Apr 2026 18:05:21 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=2352">EthanS</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/should-i-use-poisson-regression-or-negative-binomial-for-overdispersed-counts</guid>
			<description><![CDATA[I’m trying to decide if I should use a Poisson regression for my count data on website visits per day, but the variance is almost double the mean. I’ve read that this overdispersion might mean the model’s assumptions are violated, and I’m not sure if switching to a negative binomial is the right move or if I’m missing something in my predictors.]]></description>
			<content:encoded><![CDATA[I’m trying to decide if I should use a Poisson regression for my count data on website visits per day, but the variance is almost double the mean. I’ve read that this overdispersion might mean the model’s assumptions are violated, and I’m not sure if switching to a negative binomial is the right move or if I’m missing something in my predictors.]]></content:encoded>
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			<title><![CDATA[How should I interpret a p-value of 0.06 in an A/B test?]]></title>
			<link>https://forumtotal.com/thread/how-should-i-interpret-a-p-value-of-0-06-in-an-a-b-test</link>
			<pubDate>Wed, 08 Apr 2026 16:35:02 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=1352">GeorgeR</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/how-should-i-interpret-a-p-value-of-0-06-in-an-a-b-test</guid>
			<description><![CDATA[I’m trying to interpret the results of my A/B test for a new website feature, but my p-value is 0.06 and I’m really struggling with whether to call this a meaningful result or not. It feels like I’m right on the edge, and I know the conventional threshold is 0.05, but that seems so arbitrary now that I’m staring at my own data.]]></description>
			<content:encoded><![CDATA[I’m trying to interpret the results of my A/B test for a new website feature, but my p-value is 0.06 and I’m really struggling with whether to call this a meaningful result or not. It feels like I’m right on the edge, and I know the conventional threshold is 0.05, but that seems so arbitrary now that I’m staring at my own data.]]></content:encoded>
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			<title><![CDATA[Should I use a Poisson regression for overdispersed count data?]]></title>
			<link>https://forumtotal.com/thread/should-i-use-a-poisson-regression-for-overdispersed-count-data</link>
			<pubDate>Wed, 08 Apr 2026 15:00:57 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=746">Scarlett_C</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/should-i-use-a-poisson-regression-for-overdispersed-count-data</guid>
			<description><![CDATA[I’m trying to decide if I should use a Poisson regression for my count data, but the variance is about 1.8 times the mean. I’ve read that this slight overdispersion might still be okay for the model, but I’m worried my standard errors will be underestimated.]]></description>
			<content:encoded><![CDATA[I’m trying to decide if I should use a Poisson regression for my count data, but the variance is about 1.8 times the mean. I’ve read that this slight overdispersion might still be okay for the model, but I’m worried my standard errors will be underestimated.]]></content:encoded>
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			<title><![CDATA[What’s the best model for overdispersed count data, Poisson or negative binomial?]]></title>
			<link>https://forumtotal.com/thread/what%E2%80%99s-the-best-model-for-overdispersed-count-data-poisson-or-negative-binomial</link>
			<pubDate>Mon, 06 Apr 2026 17:18:59 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=380">RyanT</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/what%E2%80%99s-the-best-model-for-overdispersed-count-data-poisson-or-negative-binomial</guid>
			<description><![CDATA[I’m trying to decide between a Poisson regression and a negative binomial model for my count data on website incidents, and I’m stuck. My initial Poisson fit shows the variance is much larger than the mean, so I know that’s a problem with overdispersion.]]></description>
			<content:encoded><![CDATA[I’m trying to decide between a Poisson regression and a negative binomial model for my count data on website incidents, and I’m stuck. My initial Poisson fit shows the variance is much larger than the mean, so I know that’s a problem with overdispersion.]]></content:encoded>
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			<title><![CDATA[How should I interpret a wide confidence interval in an A/B test?]]></title>
			<link>https://forumtotal.com/thread/how-should-i-interpret-a-wide-confidence-interval-in-an-a-b-test</link>
			<pubDate>Mon, 06 Apr 2026 12:51:21 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=886">Eleanor.W</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/how-should-i-interpret-a-wide-confidence-interval-in-an-a-b-test</guid>
			<description><![CDATA[I’m trying to interpret the results of my A/B test on a website feature, and my confidence interval for the lift in conversion rate is really wide. It makes me question whether the observed difference is just noise or something meaningful, and I’m not sure how to proceed with a decision.]]></description>
			<content:encoded><![CDATA[I’m trying to interpret the results of my A/B test on a website feature, and my confidence interval for the lift in conversion rate is really wide. It makes me question whether the observed difference is just noise or something meaningful, and I’m not sure how to proceed with a decision.]]></content:encoded>
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			<title><![CDATA[Should I use Poisson or negative binomial for overdispersed count data?]]></title>
			<link>https://forumtotal.com/thread/should-i-use-poisson-or-negative-binomial-for-overdispersed-count-data--1806</link>
			<pubDate>Mon, 06 Apr 2026 11:26:48 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=1389">Brian77</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/should-i-use-poisson-or-negative-binomial-for-overdispersed-count-data--1806</guid>
			<description><![CDATA[I’m trying to decide if I should use a Poisson or a negative binomial model for my count data on website errors per day. The variance is about twice the mean, so I’m worried about overdispersion, but my sample size is fairly small.]]></description>
			<content:encoded><![CDATA[I’m trying to decide if I should use a Poisson or a negative binomial model for my count data on website errors per day. The variance is about twice the mean, so I’m worried about overdispersion, but my sample size is fairly small.]]></content:encoded>
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			<title><![CDATA[Should I use Poisson regression for overdispersed count data?]]></title>
			<link>https://forumtotal.com/thread/should-i-use-poisson-regression-for-overdispersed-count-data</link>
			<pubDate>Mon, 06 Apr 2026 09:53:02 +0000</pubDate>
			<dc:creator><![CDATA[<a href="https://forumtotal.com/member.php?action=profile&uid=1843">Paul_H</a>]]></dc:creator>
			<guid isPermaLink="false">https://forumtotal.com/thread/should-i-use-poisson-regression-for-overdispersed-count-data</guid>
			<description><![CDATA[I’m trying to decide if I should use a Poisson regression for my count data on website feature usage per user session, but the variance is almost double the mean. I’ve read that violates a key assumption of equi-dispersion, so I’m not sure if forcing it is a bad idea or if there’s a standard adjustment I should consider first.]]></description>
			<content:encoded><![CDATA[I’m trying to decide if I should use a Poisson regression for my count data on website feature usage per user session, but the variance is almost double the mean. I’ve read that violates a key assumption of equi-dispersion, so I’m not sure if forcing it is a bad idea or if there’s a standard adjustment I should consider first.]]></content:encoded>
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