Tutorial 17-Hypothesis Testing And Statistical Analysis Using Z test

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A Z-test is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution. Z-tests test the mean of a distribution.
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Пікірлер: 114

@mahalaxmiindapure8961

I got decision boundary between -2.33 to +2.33, z-score= -2.529, We will reject the null hypothesis means workers believe is true.

@madhuchandra123 Жыл бұрын

Please complete the statistics playlist.

@importantforlifeyasharora9042

Actuall fanda ya to kisi ko pata nahi hai ya wo samjhane me inko takleef hai. Maths bhi theory ki tarah padha rahe hai😂

@rajarshiroy8794

I have a doubt, From other definitions I think that If we have the population standard deviation we can directly move for z test since we are concerned about the sample size only when we are talking about the sample standard deviation as for n>30 sample and population SD are similar. So, I think the flowchart would be a little different. Can anybody clarify this doubt please??

@rishabhchauhan8612 Жыл бұрын

This topic is For Data Analytics or Data science ??

@user-is6py5nc6k 14 күн бұрын

taught better than my stats faculty

@danielrichard7575

"promo sm" 🤗

@dhananjaykharat4812

(Z Test = -2.53)H0 has been rejected as (Z test VAlue is not in C.I range/Decision Boundry) so worker believe is correct.

@dishantsonawane8510

Why do we consider sample size 30 for differentiating between Z test and T test. Why not some other number ? Why not 'x' percentage of the population ?