Split (1)

train · 116k rows

role stringclasses 2 values	content stringlengths 0 2.1k	session_id int64 10 21.7k	sequence_id int64 0 2.38k	annotations listlengths 0 8
volunteer	and uh	7,729	242	[]
volunteer	no, so the, that's called the null hypothesis, always has to have an equal sign.	7,729	243	[]
volunteer	So it's gonna be	7,729	244	[]
volunteer	mutual	7,729	245	[]
volunteer	no	7,729	246	[]
student	We don't, we don't do that, sir. Sorry. We don't put an equal equal sign or anything. Like we don't even use the smaller dens sign. We don't use all of that.	7,729	247	[]
volunteer	Uh, that's for H1, smaller than, you see what I wrote for H sub 1.	7,729	248	[]
student	Yeah, we don't, we didn't use that.	7,729	249	[]
student	when we were starting this chapter.	7,729	250	[]
volunteer	You didn't use that one.	7,729	251	[]
student	We just startedly stated, we just directly stated the research and the no hypothesis from the two populations being compared.	7,729	252	[]
volunteer	So maybe you wrote it like this.	7,729	253	[]
volunteer	In fact, I'm gonna write the number, the number is 82. That's, that's the um	7,729	254	[]
volunteer	I'm gonna write it like this, 82.	7,729	255	[]
volunteer	So is that OK	7,729	256	[]
student	Yeah, like, like we actually stated the no and the research hypothesis. Instead of using less than or equal to or greater than or equal to based on the population mean. We didn't, we actually roast like stated it in words like people.	7,729	257	[]
student	who	7,729	258	[]
volunteer	Oh, in work, OK. Well, we can do that. We can do that. I can write it in words.	7,729	259	[]
volunteer	OK	7,729	260	[]
student	like people who are who are not tired, will	7,729	261	[]
student	you know.	7,729	262	[]
volunteer	Yeah, we can do that. Let me, let me write it. OK, I'll write it here, then I'll move it. So H	7,729	263	[]
volunteer	H 0 and then H sub 1 we can say.	7,729	264	[]
student	No, I want, I want you to do the H sub 1 first because that's how we do it. I don't want you to flip around because then I'll get confused in my head.	7,729	265	[]
volunteer	OK, so	7,729	266	[]
volunteer	the	7,729	267	[]
student	I want to start with the research hypothesis.	7,729	268	[]
volunteer	yeah, OK. So the mean of the tired	7,729	269	[]
volunteer	pop.	7,729	270	[]
volunteer	population is less than 82.	7,729	271	[]
volunteer	So that would be our research hypothesis.	7,729	272	[]
volunteer	Is that OK	7,729	273	[]
volunteer	So we wrote it in word now.	7,729	274	[]
student	No, like you to add it from the like, I don't know how to describe it, but we like, we were people who are not tired or something, something. We were based on the population. That's how I write it	7,729	275	[]
student	so	7,729	276	[]
student	people who were not.	7,729	277	[]
volunteer	OK, well, tell, tell me how you want to write it.	7,729	278	[]
volunteer	or I can put it this way, the	7,729	279	[]
volunteer	the, the tired population.	7,729	280	[]
volunteer	has	7,729	281	[]
volunteer	um	7,729	282	[]
volunteer	mean	7,729	283	[]
volunteer	less than 82.	7,729	284	[]
volunteer	and 82 is the mean of the first population.	7,729	285	[]
volunteer	Is that, is that better	7,729	286	[]
student	So I put it like people who are not tired are able to identify emotions correctly, then people, um, and then the more hypothesis would be that people who are extremely tired, will not be able to identify the emotions corre um correctly.	7,729	287	[]
volunteer	Yeah, you can, you can do that. It's saying the same thing. You're just using words to say the same thing.	7,729	288	[]
student	Oh	7,729	289	[]
student	because I've didn't write it the way you wrote it, so.	7,729	290	[]
volunteer	OK.	7,729	291	[]
student	Like that would be, this is my first step	7,729	292	[]
student	In the hypothesis testing.	7,729	293	[]
volunteer	Yes	7,729	294	[]
student	I'll let you know, um, uh, once I write those two hypothesis, how I've written out.	7,729	295	[]
volunteer	OK	7,729	296	[]
student	So I wrote for the research hypothesis, which is 8 of 1. I want people who are extremely tired, will not be able to identify emotions correctly. And then for the no hypothesis, I wrote people who are extremely tired, will be able to identify emotions correctly.	7,729	297	[]
volunteer	OK, yeah, sure. You can say it that way. That works.	7,729	298	[]
student	And then step 2 is id is determining the characteristics of the um comparison distribution.	7,729	299	[]
volunteer	OK	7,729	300	[]
student	So that's, that's where we had to write all of our numbers down, right? Like the population mean	7,729	301	[]
student	the standard deviation	7,729	302	[]
volunteer	Right	7,729	303	[]
student	the, and the sampomine which is 78.	7,729	304	[]
volunteer	Where'd you see 38?	7,729	305	[]
student	No, I said 78, sorry.	7,729	306	[]
volunteer	OK, yeah, 78 is the sample mean. 50 is the sample size.	7,729	307	[]
student	Yeah	7,729	308	[]
volunteer	So we can write that. So the distribution, here's the distribution of group 2.	7,729	309	[]
volunteer	correct.	7,729	310	[]
student	So I just write those numbers like the characteristics for it.	7,729	311	[]
volunteer	Mhm	7,729	312	[]
student	That's nice	7,729	313	[]
student	OK, I got them all down. This, the, the population mean is 82. The standard deviation is 20. The sample size is 50, and the same and the BM is 78.	7,729	314	[]
volunteer	The big M	7,729	315	[]
student	Yeah, like the, it's called the samplemi.	7,729	316	[]
student	OK.	7,729	317	[]
volunteer	the sample mean, OK, all right. Maybe one thing.	7,729	318	[]
student	I began.	7,729	319	[]
volunteer	something you could calculate because we're gonna need it is this right now we only have the variants, which is 20.	7,729	320	[]
volunteer	Maybe we can calculate	7,729	321	[]
volunteer	the standard deviation.	7,729	322	[]
volunteer	Can you take	7,729	323	[]
student	Oh, I thought that standard deviation was 20.	7,729	324	[]
volunteer	No, it says it's the variants. If you read the the problem.	7,729	325	[]
student	Yeah.	7,729	326	[]
student	Yeah	7,729	327	[]
volunteer	so to get the standard deviation, we have to take.	7,729	328	[]
student	Oh, we are too. I know we are, I know what we have to do. We have to divide 2 by the square root of 50.	7,729	329	[]
volunteer	Uh, it wouldn't be 20, it would be, well, first of all, let's calculate the standard deviation first, which is square root of	7,729	330	[]
volunteer	20	7,729	331	[]
volunteer	and that is	7,729	332	[]
volunteer	for	7,729	333	[]
student	First, let's go to figure out, um, figure out the critical value in step 3.	7,729	334	[]
student	cause that comes in step 4.	7,729	335	[]
volunteer	oh OK	7,729	336	[]
student	Step 3 is like you have to determine the cutoff score at which the no hypothesis should be rejected.	7,729	337	[]
volunteer	OK	7,729	338	[]
volunteer	All right	7,729	339	[]
volunteer	So to do that	7,729	340	[]
student	point musically P um is less than 0.05. So,	7,729	341	[]

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