Lecture 3.2 - Describing Numerical Data - Mean

[@rawfiul.]

15:49 Need this benevolence from every exam assessor

[@shubhambiswas7904]

Numerical Summaries --> Measures of Central Tendency ============================================== 0:17 - Descriptive Measures 2:16 - The Mean 5:28 - Mean Example 7:56 - Example 2 9:34 - Mean for a group of data (discrete single value) 12:54 - Mean for grouped data (continuous data) 15:26 - Adding a Constant 20:12 - Multiplying a Constant 23:01 - Section Summary (Added these time stamp for revision)

[@turtles8229]

thanks man..

[@tatvakeswani8483]

21:18 scaling down each mark BY 40% should mean that the number is multiplied by 0.6 and not 0.4 isn't it? if it was scaling down TO 40% then it should have been multiplied by 0.4 am i correct?

[@maitreyo_das]

Yes obviously

[@moonsk1ter89]

scaling down by 40% means multiply the number by 0.4 then subtract the result from the number ,scaling down to 40% means just multiply the number by 0.4 , that's a simple mistake in the video.

[@MrMintu1971]

It should be scaled down to 40%.

[@g0d_iz_gamer]

true it should be scaling down "to 40%"

[@AkashKumar-sk4cp]

0:00 Intro 0:14 Descriptive Measures 2:16 The Mean 5:26 Example 3.2.1 7:49 Example 3.2.2 9:34 Mean for Grouped Data: Discrete Single Value Data 13:00 Mean for Grouped Data: Continuous Data •The mean is just an approximation. And it's not 100% completely accurate. 15:25 Adding a constant •If we add k to each case/observⁿ then new mean is x̄+k. 20:12 Multiplying a constant •If we multiply k to each case/observⁿ then new mean is kx̄.

[@muhammadsaad3836]

Interesting lecture

[@AyeshaZubia-yb1rz]

17:00

[@AYAANWARIS-e7n]

5×1 is 5 ...

[@rawfiul.]

no way

[@sahuchanakya]

bro that's verbo (Textual mistake = Typo) so verbal mistake is verbo lol

[@pk417]

R

[@shubhranshacademic9972]

truly