Sample 1 the mean extraversion score in our sample is 5312...

Name: sample 1 the mean extraversion score in our sample is 5312 sd 8945 n 254 sample 2 n43 their mean score of extraversion is 268 with a sd of 626 after adjusting the mean using scale theorem we 93577
Uploaded: 2023-01-08T03:16:11-08:00
Duration: 3 min 15 s
Channel: Joanna Quigley
Description: sample 1 the mean extraversion score in our sample is 5312 sd 8945 n 254 sample 2 n43 their mean score of extraversion is 268 with a sd of 626 after adjusting the mean using scale theorem we 93577

sample 1 : The mean extraversion score in our sample is 53.12 (SD = 8.945). n= 254 sample 2: (n=43) their mean score of extraversion is 26.8 with a SD of 6.26. After adjusting the mean using scale theorem we can compare our mean of 53.12 to the other studies' mean of 38.35. can you show me the steps to use scale theorem to find new mean as 38.35

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Transcript

00:01 I've been given a lot of data here and we need to understand it all.

00:05 So we have the mean, mu, is 192.

00:09 The first quartile, hugh 1, is 178.

00:14 The median, 185.

00:19 The third quartile, 232.

00:24 The mode, 189.

00:28 The 86 percentile, 239.

00:33 And the standard deviation 23.

00:37 So what have they given us? what does all of this information mean? well, i'll split it up a bit.

00:43 I'll put these together and leave all these together.

00:50 So the mean is you take every piece of data, you add all of them up, you divide by the number of pieces of data.

00:57 It's a measure of centre.

00:59 The standard deviation is you take each data point, you subtract the mean, square it, some of the square differences, divided by the number of pieces of data, and you square root it.

01:10 This is a measure of spread.

01:14 It's roughly the square root of the average distance.

01:17 It's roughly the average distance between a data point and the mean, but a little bit more complicated.

01:23 The mode is the most frequent piece of data.

01:31 These are all about how many data points are below them and above them...

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