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Path: ...!news.roellig-ltd.de!open-news-network.org!weretis.net!feeder8.news.weretis.net!eternal-september.org!feeder3.eternal-september.org!news.eternal-september.org!.POSTED!not-for-mail From: Wilf <wilf21@is.invalid> Newsgroups: misc.phone.mobile.iphone Subject: RE: green bubble syndrome Date: Sat, 12 Oct 2024 14:46:48 +0100 Organization: Wilf21 Lines: 26 Message-ID: <veduk6$65bo$2@dont-email.me> References: <xn0oruv2k1siabt002@reader443.eternal-september.org> <ve6sv0$2q45v$1@dont-email.me> <ve7s0q$31vac$1@dont-email.me> <lmqdldFflfjU1@mid.individual.net> <veasft$3k74p$1@dont-email.me> <vebt8i$3p8sg$1@dont-email.me> <vec4f6$a364$2@solani.org> MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 8bit Injection-Date: Sat, 12 Oct 2024 15:46:47 +0200 (CEST) Injection-Info: dont-email.me; posting-host="7f4e6f949d2f7bb6994041a4073d1085"; logging-data="202104"; mail-complaints-to="abuse@eternal-september.org"; posting-account="U2FsdGVkX1+gofwIGVhOn32R0zggnq4t" User-Agent: Mozilla Thunderbird Cancel-Lock: sha1:YQNqcBfpv6VERiQHRa5NyiKu6NA= Content-Language: en-GB In-Reply-To: <vec4f6$a364$2@solani.org> Bytes: 2264 On 11/10/2024 at 22:14, Jörg Lorenz wrote: > On 11.10.24 21:11, Chris wrote: >> Wilf <wilf21@is.invalid> wrote: >>> On 10/10/2024 at 17:28, Jolly Roger wrote: >>>> Apple sold 2.5 BILLION iPhones (as of 2023, so not counting 2024), and >>>> you are trying to tell us that a survey of 1000 people is significant? >>>> Quick question: How many times do you think 1000 goes into 2.5 billion? >>> >>> If the sample is chosen properly (and that's the critical part), results >>> from a small but representative sample of the whole population can be >>> statistically significant. So just because someone has no background in >>> statistics is a not a reason to necessarily doubt the premise. >> >> Correct. > > No. It is not correct by any means. > I still lack the proof that the sample is relevant. > > That's my point. We have to be persuaded that the sample was properly chosen. Beyond that, the relatively small sample size does not in itself invalidate the significance of the results. -- Wilf