The Time T.V. Takes … Cory Williams Winter 2010.

Slides:



Advertisements
Similar presentations
 Decide if it’s a permutation or a combination, then find how many are possible:  Your class is having an election. There are 7 candidates, and they.
Advertisements

Project Maths - Teaching and Learning Relative Frequency % Bar Chart to Relative Frequency Bar Chart What is the median height.
How tired are students in the morning ? Jose Almanza Period
Quantitative data. mean median mode range  average add all of the numbers and divide by the number of numbers you have  the middle number when the numbers.
1. 2 * Introduction & Thoughts Behind The Experiment - We wanted to chose an experiment that was easy to complete, organized, and some what entertaining.
Box Plots March 20, th grade. What is a box plot? Box plots are used to represent data that is measured and divided into four equal parts. These.
Statistics Review  Mode: the number that occurs most frequently in the data set (could have more than 1)  Median : the value when the data set is listed.
Lately I’ve been, I’ve been doing math Thinking about the different plots and graphs An outlier’s less or greater than the rest Said no more counting numbers,
Central Tendency  Key Learnings: Statistics is a branch of mathematics that involves collecting, organizing, interpreting, and making predictions from.
Opener 1.Determine the mean number of hours spent watching TV each weekend from the results of the randomly selected survey. 2.What is the minimum number.
Statistics Descriptive Statistics. Statistics Introduction Descriptive Statistics Collections, organizations, summary and presentation of data Inferential.
Describing Data: Two Variables
Rainbow Rays and Enormous Eggs
Box and Whisker Plots and the 5 number summary
Box and Whisker Plots and the 5 number summary
Membean Grading Guidelines.
Math CC7/8 – Mar. 24 Math Notebook: Things Needed Today (TNT):
4. Finding the Average, Mode and Median
Days of the week NEXT.
Different Types of Graphs
Description of Data (Summary and Variability measures)
Line Graph Project FOR CLASS
Box-and-Whisker Plots
DAYS OF THE WEEK.
A Shocking Analysis Electricity Bill Evaluation IME 301 Brendan Cheng
Monday, February 17th What is the range? What is the IQR?
Percentiles and Box-and- Whisker Plots
Study these for your Scientific Method Test!!!!
Chapter 1: Activity 6: Graphs
Sunday Monday Tuesday Wednesday Sunday Monday Tuesday Wednesday
By Jason Montgomery IME 301 Winter 2010 Dr. Rosenkrantz
My Graphical Representations Booklet
Grade 6 Data Management Unit
Box and Whisker Plots 50% Step 1 – Order the series.
Statistics project By~.
Tuesday, February 18th What is the range of the upper 75%?
Different Types of Graphs
Box and Whisker Plots.
Measures of Central Tendency
Ad-Supported TV Accounted For Nearly 8 Of The Top 10 Trending Twitter Topics Throughout Primetime Hours Even though this analysis was done during the mid-October.
GRAPHS IN SCIENCE.
Box and Whisker Plots 50% Step 1 – Order the series.
Define the following words in your own definition
Box and Whisker Plots 50% Step 1 – Order the series.
Geoffrey Cheung IME Winter 2010
Days of the Week Monday Tuesday Wednesday Friday Thursday Saturday
______________________________________
Single Variable Statistics
Prepared by: C.Cichanowicz, March 2011
Extended Christmas Hours Thursday December 8th 9am -6:30pm Friday December 9th 9am -6:30pm Saturday December 10th 9am-6pm Thursday December.
Box and Whisker Plots and the 5 number summary
Rolando V Arevalo IME 301 Winter 2010
Box and Whisker Plots and the 5 number summary
At Least Two-Thirds Of The Top 10 Trending Topics
Box and Whisker Plots 50% Step 1 – Order the series.
Ch 1 Review Questions.
Time 1.
Contact
Box and Whisker Plots and the 5 number summary
Different Types of Graphs
Box and Whisker Plots and the 5 number summary
NOVEMBER READING LOG Student: When you have read, record your minutes and have your parent initial the proper box (each day). At the end of the month,
DECEMBER READING LOG Student: When you have read, record your minutes and have your parent initial the proper box (each day). At the end of the month,
Review of 6th grade material to help with new Statistics unit
2011年 5月 2011年 6月 2011年 7月 2011年 8月 Sunday Monday Tuesday Wednesday
Arezo Ghiam IME 301 Project Winter 2010

Open Bowling Times 9:30 pm – 12 Midnight Moonrock
Bell Ringer Solve 8x-4=52 D.E.A.R.
What’s your New Year’s Resolution?
Presentation transcript:

The Time T.V. Takes … Cory Williams Winter 2010

Question & Hypothesis Question Hypothesis What are my T.V. watching habits? Hypothesis I watch T.V. for a relatively short period of time(1 hour) I watch T.V. mostly between 9:00 PM and midnight I watch T.V. mostly on the weekends(Saturday & Sunday) I watch a much higher percentage of entertainment programs than educational programs In today’s society the amount of time people watch T.V. makes up a significant portion of their lives. I knew that I watched a significant amount of T.V., but I wanted to know if I had any habits or patterns associated with it. Over an interval of 4 weeks, I collected data on my T.V. watching habits. Specifically, I wanted to know how long I watched T.V. every time I turned it on, what times of the day I most frequently watched T.V., what days of the week I spent watching the most T.V. and whether the programs I watched were “productive”. Before my experiment I predicted my time intervals of watching T.V. would be relatively low, about an hour, I would watch T.V. mostly from 9:00 PM to midnight, the highest percentage of my T.V. watching time would be on the weekends(i.e. Saturday and Sunday), and I would watch a much higher percentage of entertainment programs than educational programs.

Time Intervals of T.V. Watching For the periods of time I watched T.V. I thought a histogram would be the best way to display my findings. As you can see on the graph I watched T.V. mostly for a period of 30 minutes to an hour(17 times). My average period was roughly an hour and 32 minutes. Before the experiment I had predicted my T.V. watching period to be around an hour. Even though my two most frequently watched periods were 30 minutes to an hour and an hour to an hour and a half, my average was almost 30 minutes more than my prediction. I believe there is too much of a difference between my prediction and my result to call my hypothesis correct.

Time of the Day T.V. Was Turned On To figure out what time of the day I watched T.V. the most I made a histogram of what time I turned on the T.V. every time I watched it. From my data I figured the time I turned on the T.V. would best represent what time of the day I watched T.V.. From the graph, it is clear to see that I turned on the T.V. mostly between 8:00 PM and 10:00 PM(20 times). The average time I turned the T.V. on was about 5:45 PM. I had predicted that the time of day I most frequently watched T.V. was between 9:00 PM and midnight. Even though my average was 5:45 PM it would be wrong to say that I watch T.V. mostly at that time because I turned on the T.V. most frequently between 8:00 PM and midnight. Because my average watching time was an hour and 32 minutes, I believe that this added to the T.V. turn on time gives a good estimate of what time of the day I watched T.V. the most. This falls right into my range of 9:00 PM to midnight making my hypothesis valid.

Hours of T.V. Watched Each Day of the Week To find out what days of the week I watched T.V. the most I made a box & whisker plot using the summation of hours I watched T.V. each day and splitting them up into the days of the week. Since my sample was over 4 weeks each day of the week has 4 data points. On the plot it is easy to see that the two days with the greatest hours of T.V. watched were Saturday and Sunday. Their 1st quartiles are higher than any of the weekdays 3rd quartiles. My hypothesis about what days I watched T.V. the most was Saturday and Sunday. I believe that this data backs up my hypothesis and verifies it. Monday Tuesday Wednesday Thursday Friday Saturday Sunday Min 1 0.5 0.75 2.5 Q1 0.62525 0.5625 1.3125 4.9375 4 Median 2 1.0835 2.25 6.25 4.54 Q3 3.25 1.5625 3.4375 3.7075 6.4375 5.185 Max 1.75 5.83 6 7 IQR 0.93725 2.875 2.395 1.5 1.185

Educational vs. Entertainment In my experiment I also wanted to know how “productive” my T.V. watching time was. To do this I separated each program I watched into two categories; educational or entertainment. To make my data unbiased I made a test which the program had to pass to be considered educational. There were two criteria. The first was the material in the program would have to be something that would be a main or side topic in an academic class. Secondly, I had to learn something from the program. From the data I collected I made a simple bar chart of the total hours I spent watching educational programs vs. entertainment programs. From the chart you can see that I dominantly watched more hours of entertainment programs than educational programs. The numbers came out to me watching 36% more, 29 hours more, of entertainment programs than educational programs. I had predicted that I would watch significantly more entertainment programs than educational programs. I believe that 36% more entertainment programs than educational programs is significant enough to confirm my prediction.

Summary Results My average T.V. time watched was an hour and 32 minutes. Different from the hour I had predicted. The time I most frequently turned the T.V. on was from 8:00 PM to 10:00 PM causing my time when I most frequently watched T.V. to fall into the 9:00 PM to midnight time frame I had hypothesized. The days I most frequently watched T.V. were Saturday and Sunday, the same days as I had anticipated. I watched considerably more entertainment programs than educational programs, 36% more. I had predicted a high percentage difference and I believe 36% would be in that range.