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Masterclass de Matemáticas (Sesión 30 Septiembre - AM) Parte 2 — Transcript

by Portal Educativo Red Académica · 3,351 words · 519 segments · language en · Watch on YouTube

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  1. 0:00for students and in this way be able to
  2. 0:04continue. Ready? Perfect. So, when it
  3. 0:10comes to practice, well, here we are
  4. 0:12going to do it, we have planned it
  5. 0:14differently. However, well, we are
  6. 0:19going to continue and we have a problem
  7. 0:25here at the moment, which is that the
  8. 0:27same educational institution wants to
  9. 0:30know the expectations of 11th grade
  10. 0:32students regarding their future, but it
  11. 0:35cannot ask all the young people in the
  12. 0:37country. Yes, because it is quite clear
  13. 0:42that the institution does not possess
  14. 0:44this database, meaning it lacks the
  15. 0:47data for all of the institutions
  16. 0:49involved, does it not? Only the one for
  17. 0:53its institution. So, in this case, what
  18. 0:57the institution can do is conduct the
  19. 1:02survey, apply that survey as such to
  20. 1:05those people who correspond to 11th
  21. 1:08grade. Yes. So, well, Juan, tell me. If
  22. 1:15you worked in an educational
  23. 1:16institution and wanted to know what
  24. 1:18expectations 11th grade students have
  25. 1:20regarding their future, what types of
  26. 1:25questions could you ask?
  27. 1:35>> What types of questions could I ask?
  28. 1:37>> Yes. If you wanted to know what
  29. 1:42expectations 11th graders have, tell me
  30. 1:44what you would think of asking, like,
  31. 1:48>> what sectors they like, what they've
  32. 1:50seen themselves in after leaving school
  33. 1:53. I would also ask them, what trends
  34. 2:02they've seen on social media regarding
  35. 2:05jobs, regarding places they'd like to
  36. 2:07go to work or study. For example, in my
  37. 2:11case, my generation is very much into
  38. 2:14going to Canada or those countries to
  39. 2:16also learn French and English. So, I
  40. 2:20would focus more on those questions to
  41. 2:22find out what they see themselves in,
  42. 2:24if they see themselves as entrepreneurs
  43. 2:25, if they see themselves in projects
  44. 2:29together. That's the general rule,
  45. 2:31teacher.
  46. 2:33>> Okay, Juan, thank you very much. Indeed
  47. 2:36, so here we have several questions
  48. 2:44that we had raised here. The first one
  49. 2:52is, what is your main option when you
  50. 2:55finish school? So, Juan, we always have
  51. 2:58, well, the 11th graders always have
  52. 3:00that question, and at one point, we
  53. 3:02also experienced that exact same doubt.
  54. 3:05What options do we have after finishing
  55. 3:07high school? Right? I finish high
  56. 3:09school and now what do I do? Right? So,
  57. 3:12the first question here is, what is
  58. 3:14your main option after finishing high
  59. 3:17school? So, continue university studies
  60. 3:20, pursue technical or technological
  61. 3:22studies, work, start a business, study
  62. 3:25and work. Or I haven't decided yet.
  63. 3:29Tell me, Juan, when you finished 11th
  64. 3:31grade, which was your main option out
  65. 3:34of the ones we're discussing here? Out
  66. 3:37of the ones I'm showing? Tell me.
  67. 3:43>> Uh, do you know what they're there,
  68. 3:44teacher? What character? Uh, my main
  69. 3:47option was engineering. You can't
  70. 3:51>> see what I'm projecting, Juan. Oh, wait
  71. 3:56. Now yes.
  72. 3:58>> Ready. So, the first one is, what is
  73. 3:59your main option after finishing high
  74. 4:01school? So, tell us which ones were
  75. 4:03yours, or which ones those were.
  76. 4:06>> Mine was to continue university studies
  77. 4:10, teacher.
  78. 4:12>> Okay. Well, let us remember that mine
  79. 4:16was the same, however, there are some
  80. 4:18kids in this current era, is that not
  81. 4:21true? The topic of entrepreneurship has
  82. 4:24been popular, right? Because many of
  83. 4:28them want to, as you mentioned, the
  84. 4:31trends on social media right now are
  85. 4:34about entrepreneurship, like
  86. 4:37influencers, like YouTubers, right? So
  87. 4:42it can also be entrepreneurship.
  88. 4:44Regarding studying and working, many
  89. 4:46have also had that option, right? They
  90. 4:49study during the day, they study at
  91. 4:51night and work during the day or the
  92. 4:54other way around, they study during the
  93. 4:56day and work at night or they still
  94. 5:01haven't decided, right? Many people
  95. 5:04haven't decided this in 11th grade. And
  96. 5:08here's another interesting question, as
  97. 5:11such, which area of training interests
  98. 5:14you the most. Yes. So here's what you
  99. 5:19mentioned, Juan, and it was about what
  100. 5:21branch or sector you wanted to focus on
  101. 5:23. So, health sciences, engineering and
  102. 5:28technology, economic and administrative
  103. 5:31sciences, art, design and communication
  104. 5:33, education, they haven't decided yet.
  105. 5:37And another one right now, Juan, if you
  106. 5:39knew that educational institutions have
  107. 5:42something called vocational guidance.
  108. 5:48Yes, my teacher Pati, yes, I knew that
  109. 5:51they had, uh, the partnership, the
  110. 5:53socio-occupational guidance as a
  111. 5:56strategy.
  112. 5:57>> Exactly. Yes, in fact I know that in
  113. 6:00the rotating talks here, uh, within
  114. 6:03this same, uh, masterclass experience,
  115. 6:06they have also, uh, addressed those
  116. 6:09topics. So, yes, it is very important
  117. 6:11because many kids still haven't decided
  118. 6:14. So this would also be a very good
  119. 6:17question to, uh, be able to give, uh,
  120. 6:20continuity to that study that the
  121. 6:22educational institution wants to do
  122. 6:25that is presented in the initial
  123. 6:27situation, which corresponds, uh, as
  124. 6:30such, to know what expectations those
  125. 6:3311th grade kids have, right? when they
  126. 6:36leave school. Now, Juan, when you were
  127. 6:40you, how prepared did you feel to make
  128. 6:43those decisions about your future? Not
  129. 6:45at all prepared, not very prepared,
  130. 6:48moderately prepared, prepared, or very
  131. 6:51prepared? Uh, I felt very prepared,
  132. 6:57teacher, because I started the exercise
  133. 7:00since tenth grade, in my case.
  134. 7:04>> Okay, Juan, interesting. Yes, well, let
  135. 7:07us say that our previous generations
  136. 7:09perhaps did have a little bit more of
  137. 7:11that vision. I am not entirely sure if
  138. 7:16young people today truly possess that
  139. 7:19vision of feeling either very prepared
  140. 7:22or only moderately prepared, which also
  141. 7:25corresponds to understanding what
  142. 7:27expectations they hold and what those
  143. 7:30young people feel as individuals. Back
  144. 7:35then, how many hours did you dedicate
  145. 7:38to activities related to preparing
  146. 7:40yourself for the future? 0 hours, 1 or
  147. 7:442 hours, 3 to 5 hours, 6 to 8 hours, or
  148. 7:47more than 8 hours. Teacher, I think it
  149. 7:52was 1 to 2 hours when I was in 11th
  150. 7:54grade at that time.
  151. 7:57>> Okay. Juan, it
  152. 8:00>> was more like learning about the degree
  153. 8:02, reinforcing the basics of mathematics
  154. 8:03, since engineering has a lot of
  155. 8:05mathematics,
  156. 8:07>> but it wasn't like that all the time.
  157. 8:11>> Okay, Juan. Well, currently, some
  158. 8:14educational institutions have the Sena
  159. 8:16agreement, right? Which goes on
  160. 8:19preparing the students for that future
  161. 8:25after they finish school, bringing them
  162. 8:28a bit closer to what corresponds to a
  163. 8:30technical or a professional career path
  164. 8:32. Well, then, taking this into account,
  165. 8:36our survey would respond to the
  166. 8:41situation of the institution, which
  167. 8:44wants to effectively find out what the
  168. 8:48expectations of children are when they
  169. 8:51finish grade 11. Yes. Okay, so let's
  170. 8:55continue. Ready. So, here we have to
  171. 9:07effectively analyze several questions,
  172. 9:10right? How are they here? Well, here we
  173. 9:18have already collected the information.
  174. 9:22Yes, we have already had all the
  175. 9:24questions, we analyzed each question.
  176. 9:31Now, we were able to review them.
  177. 9:38Remember the route. So, we have already
  178. 9:40analyzed the questions, we have already
  179. 9:42collected the information, right? Now,
  180. 9:49something very important comes, which
  181. 9:53is organizing the information. Okay, in
  182. 9:59this case, we were able to do it in the
  183. 10:03development section. Yes. However, I
  184. 10:08will take the data again here, the
  185. 10:11absolute frequency; specifically, how
  186. 10:14many people choose each one of the
  187. 10:19available options presented here? Yes.
  188. 10:22When I organize that information again,
  189. 10:26yes, as we did in the development
  190. 10:29section, what we can do is try to
  191. 10:37represent that information and for that
  192. 10:40we build the graphs. So, we've already
  193. 10:43seen how to build them. Yes, we can
  194. 10:46build them using tools like Excel. Yes,
  195. 10:53we can build them using the Google
  196. 10:55Forms application, which already shows
  197. 10:58them to us and places the specific
  198. 11:01emphasis as such. For every single
  199. 11:06question, it shows us a pie chart that
  200. 11:09indicates the percentage which
  201. 11:12corresponds to each of the questions
  202. 11:14that we have asked as such in our
  203. 11:17survey. Remember that it is very
  204. 11:22important to identify what each graph
  205. 11:24is for and what type of graph it
  206. 11:29requires. Not all graphs represent the
  207. 11:31same thing. What types of graphs do you
  208. 11:35know, Juan? Tell us. Professor, Pati, I
  209. 11:44know the box plot, the scatter plot,
  210. 11:56the bar plot, and there are some graph
  211. 11:58styles that are used when you do linear
  212. 12:01regressions or logistic regressions,
  213. 12:06>> which are also where you generate those
  214. 12:08types of graphs, such as trigonometric
  215. 12:10functions. Hm. What other graphs? There
  216. 12:15are several, professor. There are many
  217. 12:16with whiskers, all sorts of things.
  218. 12:19>> Okay, perfect, thank you very much.
  219. 12:22>> Yes, depending on the type of field,
  220. 12:23there are several.
  221. 12:26>> Yes, of course. What you say is very
  222. 12:28true. Indeed, each individual graph
  223. 12:31does generate a specific need in
  224. 12:33accordance with what I am looking to
  225. 12:36find out. So, in this case, since what
  226. 12:41we want to find out are the
  227. 12:43expectations that the students have,
  228. 12:46yes, indeed, the closest are the bar
  229. 12:48graph and the pie chart or circular
  230. 12:51graph, right? Which is the one that
  231. 12:55represents the percentages in terms of
  232. 12:58circular graphs. and in the bar graph,
  233. 13:02it is like such a comparison between
  234. 13:05the different categories that we have
  235. 13:08so that the educational institution can
  236. 13:11make the decision to implement, let's
  237. 13:15say, this orientation in case, for
  238. 13:18example, the most voted option or the
  239. 13:23most frequent action option could be
  240. 13:25that it is not so prepared. So, let's
  241. 13:28say that in these graphs when I
  242. 13:31represent the information, yes, many
  243. 13:34times it is much better represented
  244. 13:38visually and we can see it, let's say,
  245. 13:41in different contexts, in this case, in
  246. 13:45the situation. Yes. And let's also say
  247. 13:51that these statistics are useful not
  248. 13:53only to do a survey and so on and have
  249. 13:56some data and that's it, but that's not
  250. 13:58where the usefulness ends as such, but
  251. 14:01that's where that process begins, that
  252. 14:03development that I can have regarding
  253. 14:09making a very wise decision. Yes, Juan.
  254. 14:13You did know, speaking of making a
  255. 14:17parenthesis here, that through
  256. 14:21statistics, each of the mayors 'offices
  257. 14:26of the different municipalities can
  258. 14:30actually develop these social programs
  259. 14:38and also approve these subsidies. Yes,
  260. 14:41you knew about that. Juan, tell us a
  261. 14:44little bit.
  262. 14:48>> Hm. Profeipe, I didn't know about that,
  263. 14:52but statistics do offer us various
  264. 14:55applications and functionalities to
  265. 14:57know who receives the subsidy. Also,
  266. 15:01with statistics, you can review one
  267. 15:03based on certain variables and make
  268. 15:05decisions there. So, yes, Professor
  269. 15:07Pati. Okay, Juan, thank you very much
  270. 15:10for sharing your information with us.
  271. 15:12Indeed, statistics play a very
  272. 15:19important role. In fact, the National
  273. 15:23Department of Statistics, yes, relies
  274. 15:26on all the studies they do; Well, in
  275. 15:30effect, they go to the Department of
  276. 15:33Social Development and others, which is
  277. 15:36the one that, with the information it
  278. 15:39collects, can analyze it after
  279. 15:47collecting the information and
  280. 15:49effectively know who has or is entitled
  281. 15:51to subsidies or not. Before the
  282. 15:57pandemic, when they carried out
  283. 15:58censuses, they would go to each home;
  284. 16:01it was indeed through statistics that
  285. 16:03this information was collected by
  286. 16:05utilizing the survey technique, which
  287. 16:07is the data gathering method that
  288. 16:09allowed for making decisions based on
  289. 16:11that information once the process was
  290. 16:13completed. So, classify the different
  291. 16:17households into different levels. Ready
  292. 16:21? So, this entire process must be taken
  293. 16:25into account, because even though we
  294. 16:27may believe that conducting a survey is
  295. 16:29very simple, we simply apply it and
  296. 16:32that's it. It always has to have that
  297. 16:35analysis, that representation, those
  298. 16:38conclusions, that interpretation of the
  299. 16:40data in the background, and knowing how
  300. 16:42to effectively use the correct graph,
  301. 16:44right? Uh, depending on the context in
  302. 16:48which I'm working and, above all, what
  303. 16:50I want to get to. Okay. Here, when I
  304. 16:58analyze the results, which was what we
  305. 17:00were talking about, there are several
  306. 17:02questions here. So, which category has
  307. 17:05the highest frequency? So there, in
  308. 17:07that part, we analyze which category
  309. 17:11really analyzes that part, which has
  310. 17:14the lowest frequency, right? And what
  311. 17:19percentage as such it represents, that
  312. 17:22is, what percentage could that part
  313. 17:28represent? So, for example, here the
  314. 17:32general formula to find the percentage
  315. 17:35it represents is the number of
  316. 17:38responses in the category, that is, the
  317. 17:41number of people who voted or who
  318. 17:44marked that response option, right? And
  319. 17:48the total number of respondents. So, as
  320. 17:51we did in the development part, which
  321. 17:53was a total of eight, then the total
  322. 17:55number of respondents in this case
  323. 17:57would be eight; and the number of
  324. 17:59responses in the category, well, it's
  325. 18:02already that of each of the data, and I
  326. 18:04multiply that by 100 to finally know
  327. 18:07which data, which percentage is the one
  328. 18:09that corresponds. So, here we have that
  329. 18:17part of results analysis. Ready? And
  330. 18:29now, for the closing part, well, Juan,
  331. 18:42tell me: what conclusion can we reach
  332. 18:45in this case? Based on your experience
  333. 18:49and what you've seen, what conclusion
  334. 18:50can we reach about the level of
  335. 18:51preparation that students feel for
  336. 18:53their future? Do you think that at this
  337. 18:57moment they feel prepared or not so
  338. 19:00much? I think, teacher, not so much. I
  339. 19:08would say, based on my experience,
  340. 19:11including friends and acquaintances,
  341. 19:14that 30%, teacher, are prepared and the
  342. 19:17other 70%are like they don't know,
  343. 19:19maybe they don't know about
  344. 19:22alternatives, they're not sure, and I
  345. 19:24feel that we need to reinforce more
  346. 19:27support, not only in educational
  347. 19:30institutions, but also from families.
  348. 19:36>> Yes, Juan, that's true. Indeed, we
  349. 19:38don't all have the same options, right?
  350. 19:42In terms of options such as whether to
  351. 19:44continue or whether to enter the world
  352. 19:46of work. So, yes, indeed, sometimes we
  353. 19:50do not feel prepared enough to say, "
  354. 19:53Well, I am finishing school here, and
  355. 19:55then what happens after that exactly?"
  356. 19:59So, yes, indeed, I also, from personal
  357. 20:03experience, yes, I see that sometimes,
  358. 20:06even though in this generation we have
  359. 20:10a little more familiarity with
  360. 20:13technology and AI, sometimes we don't
  361. 20:19feel prepared, yes, to, well, students
  362. 20:22don't feel prepared to face the world
  363. 20:25and they don't take into account all
  364. 20:28the options as such. Well, what do you
  365. 20:40find most difficult about organizing
  366. 20:43data,
  367. 20:48>> teacher? When it's incomplete or also
  368. 20:51when the data isn't standardized. For
  369. 20:55example, in the case of students,
  370. 20:58sometimes the names are misspelled or
  371. 21:02have accents or periods, so all that
  372. 21:05preparation and cleaning is the most
  373. 21:08complicated thing for me. Then comes
  374. 21:11the application of statistical tools.
  375. 21:14There, it is easier when you already
  376. 21:15have clean information, but the initial
  377. 21:19part is always the hardest. Okay, Juan,
  378. 21:23thank you very much. Yes, well, indeed,
  379. 21:26when organizing data, many times the
  380. 21:28data is incomplete or, for example,
  381. 21:30when, as I was telling you at the
  382. 21:32beginning, when it is an open question
  383. 21:34that people may answer in their own way
  384. 21:42. Many times these answers do not
  385. 21:46coincide so much and I can get 80
  386. 21:48different data points, so it is a
  387. 21:50little more complicated to organize.
  388. 21:54Additionally, when it is a fairly large
  389. 21:57sample or population, that is when I
  390. 22:00can organize them by intervals, right?
  391. 22:03In other words, I no longer organize
  392. 22:05them, they would no longer be grouped
  393. 22:08data, but grouped data in which I have
  394. 22:11generated another type of organization.
  395. 22:15Yes. Juan, how do you think statistics
  396. 22:18help us make a decision? It helps us,
  397. 22:24teacher, to make decisions because, uh,
  398. 22:27statistics shows how those confidence
  399. 22:33levels, those confidence intervals, uh,
  400. 22:36based on tests; If one can propose a
  401. 22:39hypothesis test, whether that is true
  402. 22:41or not, and then, based on...and those
  403. 22:44are somewhat more advanced topics after
  404. 22:46seeing how mean, median, and all that.
  405. 22:50But, after applying all those
  406. 22:53techniques, one is given values and,
  407. 22:55with those values, one can make
  408. 22:58decisions, whether to interpret natural
  409. 23:01or social phenomena, or to give
  410. 23:03subsidies to certain people. That is
  411. 23:07how the power of statistics gives us
  412. 23:09reliability based on data, because data
  413. 23:13tells the story of the past.
  414. 23:16>> Okay, Juan, thank you very much for
  415. 23:17your contribution. Indeed, statistics
  416. 23:20help us a lot to make decisions, right?
  417. 23:24In several, well, I would say in all
  418. 23:27contexts, uh, well, in the social
  419. 23:29context, as Juan was telling us, as we
  420. 23:32were talking about, and that is when
  421. 23:35the decision is made to help, uh, with
  422. 23:38a subsidy in the case of the government
  423. 23:41, or also in the case when, uh, a
  424. 23:43business, when a company is going to
  425. 23:46launch a new product and so on, they
  426. 23:49always, uh, generally, have a survey to
  427. 23:52identify if that, if that product could
  428. 23:56effectively enter the market or not,
  429. 23:59right? If that product is viable to
  430. 24:03sell, how many people approximately
  431. 24:05would buy it? Yes. And, uh, as such,
  432. 24:09how would that process be? Yes. And
  433. 24:13then to make the decision if that
  434. 24:16product is viable to launch it on the
  435. 24:18market or not. And, well, let's say in
  436. 24:22other branches, right? Also, for
  437. 24:24example, in public receipts. For
  438. 24:28example, regarding our Enelcensa
  439. 24:31electricity bill, what could we observe
  440. 24:36, Juan, if you have taken the time to
  441. 24:38stop and review those graphs that we
  442. 24:40are able to find on our electricity
  443. 24:42bill? Tell us. Yes, I've checked them,
  444. 24:47teacher, and it also shows a comparison
  445. 24:49with respect to previous months and the
  446. 24:51average amount that one spends. Exactly
  447. 24:54. So, look, in this context it's also
  448. 24:59very important because, of course, we
  449. 25:01can make decisions. For example, in the
  450. 25:05last few weeks, the government, let's
  451. 25:08say, faced with the El Niño phenomenon
  452. 25:11, what it did was launch this
  453. 25:13initiative that if consumption rose, if
  454. 25:16it reached a certain point, exceeded
  455. 25:19the consumption limit, it would
  456. 25:22generate a fine. But on the other hand,
  457. 25:26if the minimum amount was spent, it
  458. 25:29would receive a subsidy, a benefit. So,
  459. 25:34look, we can indeed make real and very
  460. 25:37wise decisions; because if we see that,
  461. 25:41in comparison with previous months,
  462. 25:44these consumption levels have increased
  463. 25:48, then what can we do? I mean, what is
  464. 25:52it that we can do about this situation?
  465. 25:54Is, as such, make the decision, okay?
  466. 26:07We can make the decision as such, in
  467. 26:10this case, to generate strategies
  468. 26:16within the family to be able to reduce
  469. 26:19that level of consumption. For example,
  470. 26:23leaving appliances unplugged at night.
  471. 26:29Yes. For example, Juan, what strategies
  472. 26:32do you apply with your family to
  473. 26:34generate less consumption? To generate
  474. 26:41less consumption. In the case, for
  475. 26:44example, it was water or electricity.
  476. 26:46>> The light.
  477. 26:47>> Of the light. In the case of light,
  478. 26:50well, we try to only have like one
  479. 26:52light on and if, for example, we are
  480. 26:55both in, I don't know, like in the same
  481. 26:58space, that one is enough for us. Today
  482. 27:02, too, when we stop using the
  483. 27:04television, the computer, we turn them
  484. 27:06off. There are also people who leave
  485. 27:09their computers on all day,
  486. 27:11>> and that generates a significant
  487. 27:13expense in terms of electricity. That's
  488. 27:17it, teacher, for you and for you.
  489. 27:19>> Okay, Juan. In our case, we make it a
  490. 27:21practice to leave every single
  491. 27:23electronic device and appliance
  492. 27:25unplugged throughout the night, with
  493. 27:27the sole exception of the refrigerator.
  494. 27:30But as for the rest, everything gets
  495. 27:31disconnected because, aside from the
  496. 27:33fact that it assists us with the matter
  497. 27:38of saving money in economic terms, it
  498. 27:42also serves to enable us to help the
  499. 27:45planet and the environment by
  500. 27:48generating a reduction in the total
  501. 27:52consumption of electrical energy.
  502. 27:57Therefore, we have been able to
  503. 28:00evidence here that, in effect, these
  504. 28:03statistics are useful to us not only
  505. 28:06for analyzing graphs and such, but also
  506. 28:12for the making of many decisions in a
  507. 28:14wide variety of different contexts. So,
  508. 28:18well, here we have reached the end of
  509. 28:21this session. Thank you very much to
  510. 28:29those who participated. Thank you very
  511. 28:31much, Juan, for participating. Your
  512. 28:35contributions were very valuable. We
  513. 28:39will see each other in the next session
  514. 28:42, and we hope to have the technical
  515. 28:45issues improved by then. We will see
  516. 28:49you in session number 24 later. Have a
  517. 28:52great afternoon and to those who are
  518. 28:56watching this video, greetings and a
  519. 28:59thousand apologies.

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