0:00:09.039,0:00:11.529
David Merell whose is a student

0:00:12.329,0:00:15.549
In Virginia and he did a experiment

0:00:15.873,0:00:18.183
we did an experiment and I just called it

0:00:18.306,0:00:22.566
in my own notes the destructive effect

0:00:22.566,0:00:25.696
of rock and the salutary of effect

0:00:25.696,0:00:28.176
of classical music and i think i will

0:00:28.176,0:00:30.496
just have David come up and explain to

0:00:30.496,0:00:32.926
you what he did and what his experiment

0:00:32.926,0:00:34.736
was and what it demonstrated

0:00:35.024,0:00:39.024
So David

0:01:15.760,0:01:17.430
David: Good Morning

0:01:17.683,0:01:19.313
First of all I Just like to say

0:01:19.363,0:01:21.823
thank you to Mrs. Ogdmen for inviting me

0:01:21.845,0:01:23.875
here to be able to speak to you this

0:01:23.876,0:01:29.886
morning and I would like to um say thank

0:01:29.886,0:01:31.836
you for the wonderful introduction as

0:01:31.836,0:01:34.026
he said my name is David Merell I'm a

0:01:34.026,0:01:36.156
Junior or senior at Nansemond River

0:01:36.156,0:01:38.176
High school and i received a lot of

0:01:38.186,0:01:40.936
recognition for this project which I'm

0:01:40.936,0:01:45.266
here today to tell you about

0:01:45.266,0:01:48.313
I Guess i can start off by

0:01:48.313,0:02:00.793
*inaudible Speaking from the crowd

0:02:00.793,0:02:04.423
David : Hows that Is that, is that better

0:02:04.423,0:02:08.003
Okay Alright As i said my name is

0:02:08.003,0:02:10.813
David Merrel and I' here to tell you about

0:02:10.813,0:02:13.023
an experiment that i received a lot of

0:02:13.023,0:02:17.193
recognition for. I have been brought up

0:02:17.193,0:02:19.093
In my family and my family has been

0:02:19.093,0:02:22.343
big on music they, they seen, what

0:02:22.343,0:02:24.633
you know the big effect that music can

0:02:24.633,0:02:26.943
have on the use of today and on society.

0:02:27.736,0:02:29.886
and they always brought me up teaching me

0:02:29.886,0:02:33.806
that heavy metal that sort of music

0:02:33.806,0:02:36.086
really isn't good for ya and that

0:02:36.088,0:02:39.478
classical music is something that is good

0:02:39.478,0:02:42.068
There's nothing bad about it and just to

0:02:42.068,0:02:44.238
In general realize just how powerful

0:02:44.238,0:02:46.528
music is and I have been doing research

0:02:46.565,0:02:48.915
and our family is , you know has books

0:02:48.931,0:02:51.521
and things like that about music

0:02:51.521,0:02:53.971
and one day we came across this research

0:02:53.971,0:02:56.411
that Michael Bowlen about how he used

0:02:56.411,0:03:01.561
music he used classical music and atonal

0:03:01.583,0:03:04.523
sounds on groups of mice and ran them

0:03:04.523,0:03:07.393
through a maze to see what, what the

0:03:07.403,0:03:08.783
effects would have on them and I said

0:03:08.783,0:03:11.919
that pretty neat, so I came up with a

0:03:11.919,0:03:14.339
project or devised a project that would

0:03:14.339,0:03:17.269
somewhat simulate a learning environment

0:03:17.839,0:03:20.689
for mice for what I did or the title of

0:03:20.689,0:03:22.909
the project is music mice amazes the

0:03:22.909,0:03:24.349
classic rock is growing that continues

0:03:24.349,0:03:26.759
this is a, this actually second year that

0:03:26.759,0:03:30.179
i have done this project

0:03:30.179,0:03:32.909
in this project my hypothesis was that.

0:03:33.416,0:03:35.126
Music would have an effect on the

0:03:35.126,0:03:37.131
learning abilities of white male mice

0:03:37.131,0:03:39.301
classical music will have a positive

0:03:39.301,0:03:41.941
effect whereas hardrock music will have

0:03:41.941,0:03:44.901
a negative effect and as I said this is

0:03:44.901,0:03:47.721
Second year I've done this project and the 1st year.

0:03:47.721,0:03:49.911
I did this project I obtained eighteen

0:03:49.911,0:03:52.401
white male mice from a local pet store.

0:03:52.802,0:03:54.682
and divided them into three different

0:03:54.682,0:03:57.172
groups. A hardrock group or heavy metal

0:03:57.172,0:03:59.502
group which would listen to Anthrax,

0:03:59.502,0:04:03.732
stunt 442 and at the time since we really

0:04:03.732,0:04:06.322
didnt know any good heavy metal groups we

0:04:06.322,0:04:08.312
just went to K-Mart and ask the clerk

0:04:08.312,0:04:10.472
behind the desk whats a good heavy metal

0:04:10.472,0:04:12.862
group and she handed us this CD and after

0:04:12.862,0:04:15.052
about ten seconds of listening to it

0:04:15.052,0:04:16.922
we found that's the one wanted

0:04:16.922,0:04:18.952
*crowd is laughing from David joke

0:04:18.952,0:04:22.704
Um we then ah, we also had a classical

0:04:22.704,0:04:27.094
group. Which we played a variety of different classical

0:04:27.094,0:04:28.734
songs to it, it didn't matter which ones

0:04:28.734,0:04:31.194
as long as it was classical. So we divided

0:04:31.194,0:04:33.074
this mice into three different groups

0:04:33.074,0:04:34.834
and we began running them through a fixed

0:04:34.834,0:04:38.014
maze over the course of the next four weeks

0:04:38.014,0:04:40.926
and as time progressed the mice either

0:04:40.926,0:04:44.936
got faster or slower and ah the classical

0:04:45.010,0:04:47.790
or I'll go into that later. But

0:04:47.790,0:04:49.161
the interesting thing about first year

0:04:49.161,0:04:51.201
I did this project is that actually I

0:04:51.201,0:04:53.611
had to cut it short because the heavy

0:04:53.611,0:04:56.481
music had made these mice who can't

0:04:56.481,0:04:59.291
understand words just the sounds alone

0:04:59.291,0:05:01.851
had made them so violent that within

0:05:01.851,0:05:04.031
three weeks there was only one mouse left

0:05:04.031,0:05:05.331
in the rock group

0:05:05.331,0:05:06.361
* crowd is laughing

0:05:06.361,0:05:09.441
It was rather interesting because

0:05:09.441,0:05:12.351
the mice they just they seem to be

0:05:12.351,0:05:14.267
so disconent with one another and

0:05:14.267,0:05:16.787
they would separate themselves from the

0:05:16.787,0:05:19.877
other mice and then you know they just

0:05:19.877,0:05:22.277
turn around and kill one of the other mice

0:05:22.277,0:05:24.774
For as the classical mice and controlled mice

0:05:24.774,0:05:26.704
they were perfectly fine with one another

0:05:26.704,0:05:28.694
They didn't have problems what so ever

0:05:28.694,0:05:32.884
it was, it was interesting and so my

0:05:32.884,0:05:34.734
after doing this project for my first

0:05:34.734,0:05:37.234
year. I had a lot of suggestion and found

0:05:37.234,0:05:40.424
out a lot problems with my project

0:05:40.424,0:05:43.632
This is a background of the project

0:05:43.632,0:05:47.172
which I just described and as I said

0:05:47.172,0:05:49.202
there a lot of problem with the project

0:05:49.202,0:05:50.172
there weren't enough subject for

0:05:50.172,0:05:52.388
statistical analysis. I'm sorry if you

0:05:52.388,0:05:56.128
can't see but were try more or less the

0:05:56.128,0:05:59.189
uh. Like I said there weren't enough mice

0:05:59.189,0:06:01.689
for statistical analysis i only had 18

0:06:01.689,0:06:03.209
mice that first year. So the second year

0:06:03.209,0:06:07.289
I did my project i had 72 also in the

0:06:07.289,0:06:09.319
first year like I said I obtained the mice

0:06:09.319,0:06:11.789
From a local pet store and I did know

0:06:11.789,0:06:14.759
what their age , their weight uh what

0:06:14.759,0:06:17.129
their genetic background was which had.

0:06:17.129,0:06:18.799
which could have an affect on the outcome

0:06:18.799,0:06:21.289
of the overall project

0:06:21.289,0:06:23.549
Their uh their living condition as

0:06:23.549,0:06:25.869
I would say was one of the big problems

0:06:25.869,0:06:29.629
They were able to interact with another

0:06:29.629,0:06:31.493
and they were also given a

0:06:31.493,0:06:34.353
very unrealistic music environment

0:06:34.353,0:06:36.443
The two variable groups which listen to

0:06:36.443,0:06:40.603
music as I said uh were subjective to

0:06:40.603,0:06:44.645
their music 24 hours a day at 90 decibels

0:06:44.645,0:06:48.561
and that's a little extreme its kinda loud

0:06:48.561,0:06:51.541
and its all day long and so i looked

0:06:51.541,0:06:53.711
at these problems and I decided that

0:06:53.711,0:06:55.341
it needed a lot of work

0:06:56.294,0:07:00.654
So what I did um was i obtained

0:07:00.654,0:07:03.674
the 72 white male mice I said but this

0:07:03.674,0:07:05.874
year I quoted them from

0:07:05.874,0:07:07.724
Harland Spray Darley which is a

0:07:07.724,0:07:09.574
laboratory which specializes in the use

0:07:09.574,0:07:12.004
of animals in uh research each mouse

0:07:12.004,0:07:15.044
each is mouse 4 to 5 weeks old

0:07:15.044,0:07:19.584
15 to 20 grams in weight and uh

0:07:19.584,0:07:21.014
and their all genetically

0:07:21.014,0:07:23.303
similar their all out friend mice

0:07:23.303,0:07:25.833
when I received the mice I put them

0:07:25.833,0:07:28.053
all to separate 5 gallon aquariums

0:07:28.053,0:07:31.813
thus eliminating the possibility of

0:07:31.813,0:07:34.043
um subject destruction

0:07:34.043,0:07:35.770
*crowd is laughing from joke

0:07:35.770,0:07:38.390
I, I also gave the each mouse a

0:07:38.390,0:07:42.940
ceratin amount of food light and water

0:07:42.940,0:07:46.030
The uh receives 12 hours of light and

0:07:46.030,0:07:50.220
music this year was kept 10 at hours a day

0:07:50.220,0:07:52.700
at 70 decibels which seem a little more

0:07:52.700,0:07:56.010
moderate than 24 hours a day at 90 decibels

0:07:59.050,0:08:01.110
the uh 72 mice which i had obtained from

0:08:01.110,0:08:03.973
Harland Spray Garley i dived into three

0:08:03.973,0:08:06.033
different groups again but this year

0:08:06.033,0:08:08.343
i had a small variation of that I

0:08:08.343,0:08:10.233
had the control group once again which

0:08:10.233,0:08:12.133
was suppose to simulate just how

0:08:12.133,0:08:14.143
much a regular mouse should learn .

0:08:14.143,0:08:16.433
the classical group this year

0:08:16.433,0:08:18.743
listen to mozart and i decide on mozart

0:08:18.743,0:08:22.613
because through the past year the

0:08:22.613,0:08:24.983
research i had done it seem that mozart

0:08:24.983,0:08:26.983
was used the most in other studies done

0:08:26.983,0:08:29.583
with in music and then I used once again

0:08:29.583,0:08:31.453
Used the anthrax Cd or the hard

0:08:31.453,0:08:37.463
rock group this is a picture of the

0:08:37.463,0:08:41.993
anthrax cd and it was probably the only

0:08:41.993,0:08:44.053
side of the cover that I can show was

0:08:44.053,0:08:46.803
decent I'm going to play a you a

0:08:46.803,0:08:51.753
very short excerpt from the cd um

0:08:51.753,0:08:53.313
if i made it lengthy i don't think

0:08:53.313,0:08:55.173
anybody would stay

0:08:55.173,0:09:06.573
*inaudible speaking from the crowd

0:09:06.573,0:09:10.573
*David putting the cd in the cd player

0:09:10.573,0:09:21.423
*anthrax is playing

0:09:21.423,0:09:25.423
*Crowd Laughs

0:09:28.576,0:09:31.426
* David switches to Classical music

0:09:31.426,0:09:36.686
*inaudible speaking from david

0:10:14.760,0:11:07.370
*Mozart is playing

0:11:08.268,0:11:12.268
That was probably much more pleasant

0:11:12.621,0:11:14.471
Upon arrival each mouse was

0:11:14.471,0:11:17.341
individually weighed in order to make

0:11:17.341,0:11:19.431
sure that they were healthy and

0:11:19.431,0:11:20.671
throughout the rest of project each

0:11:20.671,0:11:22.971
week the mice were weighed

0:11:22.971,0:11:24.831
in order to make sure they stayed

0:11:24.831,0:11:26.881
within the healrhy growth curve if the

0:11:26.881,0:11:29.761
mice were to suddenly drop in weight the

0:11:29.761,0:11:31.758
project would have to stop because

0:11:31.758,0:11:34.578
the indication of stress or sickness

0:11:34.578,0:11:39.568
caused by the music and this graph

0:11:39.568,0:11:43.438
gives you a, a color version I guess of

0:11:43.438,0:11:46.298
the growth curve of the mice the red

0:11:46.298,0:11:49.198
represent the hard rock or heavy metal

0:11:49.198,0:11:51.468
the green represent the control and the

0:11:51.468,0:11:54.638
blue represent the classical even though

0:11:54.638,0:11:57.598
it looks likes the hard rock makes a

0:11:57.598,0:12:00.118
drastic change from week 2 to 3

0:12:00.118,0:12:05.368
it still remain within the growth

0:12:05.368,0:12:07.618
curve what I did was upon arrival

0:12:07.618,0:12:08.828
caused I said the mice were

0:12:08.828,0:12:10.528
put into their individual cages

0:12:10.528,0:12:11.888
and then they were given a one week

0:12:11.888,0:12:13.998
period in which to acclimate to their

0:12:13.998,0:12:15.968
new environment this allowed the mice to

0:12:15.968,0:12:17.048
settle down and get comfortable with

0:12:17.048,0:12:20.448
with their, their surrounding after which

0:12:20.448,0:12:23.298
their run through a fixed maze three

0:12:23.298,0:12:25.698
times in order to get a base starting

0:12:25.698,0:12:27.858
time after they run through maze the

0:12:27.858,0:12:31.048
first time they were then subjected to

0:12:31.048,0:12:35.048
music the following week and then were run

0:12:35.048,0:12:37.208
through the maze another, additional

0:12:37.208,0:12:38.628
three times. I continued

0:12:38.628,0:12:42.508
to play the music for the next

0:12:42.508,0:12:44.228
four weeks and randomized through

0:12:44.228,0:12:46.078
the maze three times after each week

0:12:46.078,0:12:54.018
and by the first week they knew

0:12:54.018,0:12:56.948
the maze you know or they sort a got a

0:12:56.948,0:12:58.888
feel for it and then second week

0:12:58.888,0:13:03.278
and the third week that's a

0:13:03.278,0:13:05.158
little picture of the treat they got

0:13:05.158,0:13:08.258
at the end and the fourth week

0:13:08.258,0:13:10.478
by this time the a control and classical

0:13:10.478,0:13:12.328
knew it very well and the hard

0:13:12.328,0:13:15.889
rock I'd hate to say but did not.

0:13:15.889,0:13:19.309
This gives a, a data table of the

0:13:19.309,0:13:21.339
average run time in seconds as

0:13:21.339,0:13:23.639
well as the weights in grams the

0:13:23.639,0:13:27.009
week one at the top is the

0:13:27.009,0:13:28.849
baseline starting time the initial

0:13:28.849,0:13:30.809
one before the music had been started

0:13:30.809,0:13:32.459
and all three groups started out

0:13:32.459,0:13:34.609
pretty close to ten minutes.

0:13:34.609,0:13:37.659
Which about 590 seconds then

0:13:37.659,0:13:39.049
throughout the course of the week

0:13:39.049,0:13:40.269
the control group manage to get

0:13:40.269,0:13:42.449
their time down to 307 seconds

0:13:42.449,0:13:45.359
which is about and average of 5 minutes.

0:13:45.359,0:13:46.769
The classical group manages to get

0:13:46.769,0:13:50.309
their time all the way down to 106

0:13:50.309,0:13:53.549
seconds which is about a minute 46

0:13:53.549,0:13:55.699
so compared to the normal or average

0:13:55.699,0:13:57.799
mouse one that listen to classical is

0:13:57.799,0:14:01.799
above average . The hard rock mice

0:14:02.465,0:14:04.635
increase their time from 10 minutes

0:14:04.635,0:14:08.585
to 1825 seconds which is about

0:14:08.585,0:14:10.465
30 minutes and started having

0:14:10.465,0:14:12.325
problems with this actually

0:14:12.325,0:14:14.365
because during, while running the

0:14:14.365,0:14:16.185
control and classical while I did

0:14:16.185,0:14:18.415
this during uh early part of the school

0:14:18.415,0:14:19.745
year school it was fine because it take

0:14:19.745,0:14:22.485
me, you know two hours or

0:14:22.485,0:14:24.755
sometime to ten minutes you know

0:14:24.755,0:14:25.985
half and hour maybe tops doing for

0:14:25.985,0:14:28.575
all the mice for the classical but with

0:14:28.575,0:14:29.915
the hard rock by the end of the fourth

0:14:29.915,0:14:31.645
week it was taking take me 5 and a

0:14:31.645,0:14:33.625
half to 6 hours a day to run these

0:14:33.625,0:14:39.465
mice and it was, was getting rather

0:14:39.465,0:14:40.235
extreme

0:14:40.235,0:14:41.595
* crowd laughing

0:14:41.595,0:14:45.595
This give a,a graph of the run time

0:14:45.889,0:14:47.959
and at the left it shows that all

0:14:47.959,0:14:49.529
three groups started pretty much

0:14:49.529,0:14:51.069
at the same time. But then by the

0:14:51.069,0:14:52.749
time you progress through the week

0:14:52.749,0:14:57.339
the classical which is in blue decrease

0:14:57.339,0:15:01.829
their time by 8 and a half minutes

0:15:01.829,0:15:05.339
which is went up the control went

0:15:05.339,0:15:07.979
up slightly or cut off 5 minutes from

0:15:07.979,0:15:11.099
their time and the hard rock went

0:15:11.099,0:15:14.199
straight for the bottom they added 20

0:15:14.211,0:15:15.611
minutes to their time.

0:15:19.211,0:15:23.211
This gives a, a delta which is a

0:15:23.229,0:15:25.059
difference between weeks and it

0:15:25.059,0:15:26.919
just shows how much time they were

0:15:26.919,0:15:30.929
able to, able to cut from the previous

0:15:30.929,0:15:35.959
week and by week 4 to 1 it show the

0:15:35.959,0:15:38.179
number which I had just said that they

0:15:38.179,0:15:40.869
control mange to cut off 291 seconds

0:15:40.869,0:15:43.569
the classical 503 seconds and hard

0:15:43.569,0:15:51.499
rock had added 1256 seconds this give

0:15:51.499,0:15:54.889
a delta graph which is the data table

0:15:54.889,0:15:57.994
which I showed you but now its in a graph

0:15:57.994,0:15:59.534
and actually shows how the

0:15:59.534,0:16:02.674
control between week 1 and 2

0:16:02.674,0:16:04.824
actually did slightly better than the

0:16:04.824,0:16:06.634
classical but then between 2 and 3,

0:16:06.634,0:16:09.440
3 and 4 the classical seem to jump far

0:16:09.440,0:16:13.820
ahead. This give a overall graph of the

0:16:13.820,0:16:16.910
groups and it shows a real vivid picture

0:16:16.910,0:16:19.298
of just how drastics changes were between

0:16:19.298,0:16:24.998
the groups after accumulating all my data

0:16:25.156,0:16:27.446
which was actually 852 bits whereas the

0:16:27.446,0:16:31.446
year before as I mention 30 something

0:16:32.051,0:16:34.921
after i seen the data i took it to a

0:16:35.061,0:16:39.061
statistician whose was Dr. Mike Doveach

0:16:39.061,0:16:41.411
assistant professor of Mathematics and

0:16:41.411,0:16:44.141
statics at Old Dominion University.

0:16:44.141,0:16:46.411
and when I explained my project to him

0:16:46.711,0:16:48.621
and gave him the data he decided

0:16:48.621,0:16:51.511
to run three different test and he ran a

0:16:51.511,0:16:53.271
Manova test which useda a null

0:16:53.271,0:16:56.321
hypothesis, Anova test which looks

0:16:56.321,0:16:57.711
for statistical difference from week to

0:16:57.711,0:16:59.791
week and a Tukey studentized range

0:16:59.791,0:17:01.771
test the most importnat of these was the

0:17:01.771,0:17:04.201
Tukey studentized range test this looked

0:17:04.201,0:17:08.201
for a statistical significance difference

0:17:08.201,0:17:10.891
between one groups to see if you know.

0:17:10.891,0:17:13.161
If it was important enough to even

0:17:13.161,0:17:17.281
notice and a normal statistical,

0:17:17.281,0:17:19.601
statistically significant fact would

0:17:19.601,0:17:23.241
be to be a P of value of 0.1 and

0:17:23.241,0:17:25.561
after accumulating the data and

0:17:25.561,0:17:30.071
making the result we found that between

0:17:30.071,0:17:32.011
the classical and control this is from

0:17:32.011,0:17:36.011
week 4 to 1 there was a P Value of .01

0:17:37.750,0:17:40.880
we then ran out the number later and

0:17:40.880,0:17:42.820
found out it was even more significant

0:17:42.820,0:17:45.200
it went all the way out to P value of .001

0:17:47.780,0:17:49.840
The control to hard rock was as well

0:17:49.840,0:17:51.050
found to be significant or

0:17:51.050,0:17:52.640
statistically significant out of P value

0:17:52.640,0:17:56.470
of .01 it was as well, we as well

0:17:56.470,0:17:58.560
went further with that and found out that

0:17:58.560,0:18:00.010
it statically significant to a P value

0:18:00.010,0:18:05.385
of .0001.and the classical to hard

0:18:05.385,0:18:07.795
rock was as well statically significant

0:18:07.795,0:18:11.175
at a P Value .01 and extened to a P Value

0:18:11.175,0:18:16.305
0001. In conclusion I can say that

0:18:16.305,0:18:18.585
music does indeed have an effect

0:18:18.585,0:18:20.515
on the learning abilities on white male

0:18:20.515,0:18:23.135
mice. Classical music has a very

0:18:23.135,0:18:25.835
positive effect on the learning abilities

0:18:25.835,0:18:27.575
whereas the hard rock music has

0:18:27.582,0:18:29.532
a even greater negative effect on the

0:18:29.532,0:18:32.592
learning abilities and a side from the

0:18:32.592,0:18:34.812
fact which I have been able shown you

0:18:34.812,0:18:38.812
today. I can say from my own view

0:18:38.812,0:18:40.712
and my own opinion from observing

0:18:40.712,0:18:45.972
the mice that its, its seem to be not

0:18:45.972,0:18:48.962
only digress their ability to learn but

0:18:48.962,0:18:51.494
their ability to cope one with another

0:18:51.494,0:18:55.384
and in fact with the mice after the second

0:18:55.384,0:18:57.284
year of this doing their project as I

0:18:57.284,0:18:58.774
said i had keep them seperate this year

0:18:58.774,0:19:00.834
to try to eliminate the fighting after

0:19:00.834,0:19:03.074
the project i would take all the mice to a

0:19:03.074,0:19:06.024
local pet store to just get rid of them

0:19:06.024,0:19:08.564
and give them away and when I did this

0:19:08.564,0:19:10.654
with the classical and control mice

0:19:10.654,0:19:12.154
I would put them into a or

0:19:12.154,0:19:13.894
just one group at a time I'll

0:19:13.894,0:19:15.404
put them into two aquariums

0:19:15.404,0:19:17.348
and take them away thas 24 mice

0:19:17.348,0:19:19.188
in 20 gallons. and I thought that

0:19:19.188,0:19:21.198
wasn't that bad and it wasn't for

0:19:21.198,0:19:23.568
the classical and control they were fine

0:19:23.568,0:19:25.628
with one another .However when I put

0:19:25.628,0:19:27.728
the hardrock mice in there and within

0:19:27.728,0:19:31.138
an hour they had just begun fighting so

0:19:31.138,0:19:33.318
severely that i had to separate all the

0:19:33.318,0:19:35.848
mice and gave them about a week just

0:19:35.848,0:19:37.988
to you know chill out I guess you can say

0:19:37.988,0:19:38.918
<i>crowds laughing</i>

0:19:38.918,0:19:41.468
and sorta, sorta of calm down that

0:19:41.468,0:19:43.618
because I guess the music

0:19:43.618,0:19:45.188
had made them so uptight

0:19:45.188,0:19:47.908
and just you know had been putting

0:19:47.908,0:19:50.168
these bad messages into them. That they

0:19:50.168,0:19:52.288
couldn't handle one another and so I gave

0:19:52.288,0:19:54.418
them about a week just to calm down

0:19:54.418,0:19:56.498
and settle down and actually play a little

0:19:56.498,0:19:57.618
classical music to them and see if it

0:19:57.618,0:20:01.298
would reverse the effects so by, after

0:20:01.298,0:20:02.888
about a week or so you know i put

0:20:02.888,0:20:05.068
them back in and they were still a

0:20:05.068,0:20:07.228
little feisty but i magane to get them

0:20:07.228,0:20:09.928
to the store in time. It's just it been

0:20:09.928,0:20:12.008
an interesting project and i have

0:20:12.008,0:20:14.478
enjoyed doing it and enjoyed the

0:20:14.478,0:20:16.348
result i have found as well as the

0:20:16.348,0:20:18.208
research I've done and its too bad

0:20:18.208,0:20:23.508
that its not a subject that is widely i

0:20:23.508,0:20:25.658
guess you can say publicized as

0:20:25.658,0:20:28.318
it should be because there i found

0:20:28.318,0:20:31.808
multiple areas of research which are

0:20:31.808,0:20:35.358
extremely significant whether it how

0:20:35.358,0:20:37.518
the great effects of classical music on

0:20:37.518,0:20:39.558
preschooler learning the ABC's or

0:20:39.558,0:20:42.828
something like or whether its you know

0:20:42.828,0:20:45.798
just bad the moral of hard rock music and

0:20:45.798,0:20:48.648
something interesting is that these mice

0:20:48.648,0:20:51.368
could not understand the lyrics but the

0:20:51.368,0:20:54.078
music alone was bad enough much less the

0:20:54.078,0:20:56.528
lyrics which the people were subjected to

0:20:56.528,0:20:58.748
but the mice were not and that's

0:20:58.748,0:21:00.538
something that I think is pretty

0:21:00.538,0:21:03.248
significant as well.Once again i would

0:21:03.248,0:21:05.388
like to thank you for the opportunity

0:21:05.388,0:21:07.868
to be here to be able to present this

0:21:07.868,0:21:09.218
project to you.

0:21:09.218,0:21:10.808
Thank you

0:21:10.808,0:21:14.808
*crowd clapping