Chapter One
This project we had chosen to survey a sample of the senior statistics class to see what their favorite type of pop was. We only gave the choices of Mountain Dew, Coke, Root Beer, and Sprite. The variable was the type of pop because that was the object that changed. We had chose to take a sample of our statistics class, choosing every third person which ended up with only nine different people taking our survey. After the survey was taken by everyone, we had found that Mountain Dew was the favorite pop out of the people who had taken this survey. We learned that next time taking a bigger sample of the class or doing the whole class, since the class was not that big, would give us a more accurate result of our surveys.
Chapter Two
For this project, we took the top 50 volleyball team's records and compared them. We compared the records with a stem and leaf plot, frequency table, histogram, relative frequency histogram, ogive, pareto chart. and a circle graph. We compared to see which teams had the best overall records. We found out that most teams had won around 13 games in a season. This project showed us that the average was around 13-14 games won and learned how to use all of those graphs.
Chapter Three
Jolie and I were together for this project. Our topic was how often each student spends on homework each night. We did a verbal survey and asked all the students in the Junior Class. We found out that on average most students spent a little over a half an hour on homework a night. There were some outliers where students spent two hours a night on homework. We learned to expect people not to take the survey seriously and also learned that students spend more on homework a night than we thought.
Chapter Four
This Chapter Olivia and I worked together to have a survey about if people like hot chocolate at certain temperatures. We had the individuals in the Senior class fill out a written survey answering yes or no next to the certain degrees. We found out that most students did not like to drink hot chocolate the hotter the degrees were. There were some outliers where the individual did not like hot chocolate so they put no for all the degrees. There were also individuals who loved hot chocolate so they put yes for all of the questions. We learned that there are usually always some outliers and there is a very long correlation between the weather and hot chocolate sales.
Chapter Five
For this chapter, Lizzy and I had the probability of drawing two cards out of a standard deck of cards. We made it so the events were independent but we also found data for if the events were independent. We had found out that when they were independent the probability of drawing a six of hearts was only a 2% chance and the probability of drawing a two of clubs was also 2% since the events were independent. We learned that the chances changed if we made the events independent or dependent.
Chapter Six
Taryn and I were together for this project. We did this project about what the probability was that exactly 12 people could snap their fingers in a staff of sixteen teachers. They were independent trials because it whether or not someone could snap their fingers didn't effect whether the next person could snap their fingers. We found out that there was a 20.4% chance that there would be 12/16 people could snap their fingers. We learned that since it was independent it didn't change the results from one person to another.
Chapter Seven
For chapter seven, Jacob and I were in a group together. This project we did on how long does a student study for a test on average. We found the mean, mid, max, median, UQ and the LQ. Then with that information we created a histogram. We also found that on average, the people in this study, studied on average between .244 hours and 1.6 hours. Then we calculated for 95% of our data and found out that 95% of the people in this study, studied on average between 0 hours and 2.4 hours. We learned that most people didn't study a ton the night before a test.
Chapter Eight
This chapter, Dante and I worked together. We calculated the annual profits per employee in retail sales. We took a sample of 35 employees. We found that if someone made more than $7037 above the mean of $7076, than they are above the norm for retail employees. We also learned that the majority of the sample that we took, made between 4.701 and 10.819 a year. And those numbers are in thousands.
Chapter Nine
For this project, Carter and I were in a group together. This project we worked to see if the active users of Facebook used it 20 minutes per day, on average. We figured this out by taking a sample of 30 students and asking them how much they spend on Facebook in a day on average. Then we found that the average of our data was 13.4 minutes a day. We then had to put this in the formula to find the sample test statistic and then the p-value. We found that this value was between .05 and .025 and since this was lower than our level of significance we had to reject the null hypothesis. This meant that the average number of minutes someone spent on Facebook was less than 20 minutes per day.