Highline Student Commute Time

There are many factors that I can improve on in the future for the next observations. First of all the organization of the data along with the time measurement are improvements that can be made. Instead of measuring five minutes I would measure every 15 minutes, making it four rounds in one hour. Within that hour we can also use a timer so that we don’t lose track of time. Also the time that we had to measure was on a Monday and Wednesday, for the next observation I would add in a Tuesday or Thursday. Since the observation was done on a campus we didn’t get different age ranges besides the college age. By measuring data at a Chic-Fil-A in the public we would get a wider range of ages, genders, and race. The diversity level was also low so in

One-Sample T: Sleep Variable N Mean StDev SE Mean 99% CISleep 20 6.950 1.572 0.352 (5.944, 7.956) 99% of students get between 5.9 hour to 7.95 hour of sleep.

When it comes to smartphones, people make choice which smartphones is suitable for them and, sometimes people look at who gives more feature. In this project, the populations is representing are Population 1 which is all iPhone users in Montclair State University and, Population 2 is all Samsung users in Montclair State University. The quantitative variable I will using is cost. I will compare this two major population iPhone vs. Samsung. Also, the I will use this variable cost because I will be comparing iPhone models like five se, six s, six s plus, seven and, seven plus to Samsung s six, s six edge, s seven edge, note five and note seven. This data will show; how much people spend money on this device.

Being a High schooler in today's society is hard, especially when you dread getting up at 6 o’clock (or earlier) every morning, and pressing snooze so many times to the point where you have to miss out on breakfast and rush to school. If school started 30 minutes to an hour later every day, it would help students in plenty of ways: alertness, better test scores, and teachers would also enjoy it because students would be more responsive. There would be some extra costs for bussing, though. Hudsonville High school should definitely look into and consider later start times, for it would benefit both the students and teachers.

Ann wants to describe the demographic characteristics of a sample of 25 individuals who completed a large-scale survey. She has demographic data on the participants’ gender (two categories), educational level (four categories), marital status (three categories), and community population size (eight categories).

Typically, people enjoy receiving an extra hour of sleep, even an extra five minutes of sleep. Teens are just one group of people who enjoy sleep. Unfortunately, teens are unable to obtain the correct number of hours per night. Later school start times would be beneficial because the schools would see an impact on attendance, increased school performance, and based on several studies, students would receive the recommended amount of sleep. The psychological effects would greatly outweigh the negative effects caused by an early start time. Benefits of a later start time include, better health, improved grades and teens reaching the recommended amount of sleep per night. Downfalls of starting school later would be transportation issues, coddling

Occasionally uncommon instances are represented by outliers. Other times they symbolize data entry errors, or maybe data that doesn't belong with another data of interest. More robust methods of investigation when conducting the study for the population need to be used. The next method is to transform your data using box plot or histograms. This may serve other functions at the same time. It may help cope with outliers, although it probably should not be used simply because there's an outlier. A histogram is especially useful when there exists large number pf observations. The range of values in types breaks, and show percentage or just the count of the observations that fall into each

In this experiment we focused on calculating the acceleration of a toy car that was racing down a ramp. We also created a velocity-vs.-time graph for our data points. Our variables for the lab were the distance between A and B (independent variable) as well as the velocity and the acceleration acting as our dependent variables. We had to answer the research question ,”Will a car’s velocity increase as it travels down a ramp?”. We also had to answer another research question, ”Will a car’s acceleration increase as it travels down a ramp”. My hypothesis for the first question is that the car’s velocity will increase as it travels down the ramp. My hypothesis for the second question is that the car’s acceleration

The percentage of happy bears decreased by an average of 7.25% every generation. The percentage of sad bears increased by an average of 7.25% every generation. 2. How does this compare to the hypothesis?

Q7: Create a bar graph or pie chart of the data you have collected. For example, you could create a bar graph that shows the employee turnover rate in organizations that do offer flexible work arrangement compared to organizations that do not. Alternately, you could create a pie chart that shows which types of flexible work arrangement workers want the most.

In the first part of their research study they used 82 college participants. The group was divided in half and the first group was given the stats of the games being played and what the scores were in 4 of their previous scores at halftime and they had the subjects decide on who they thought would win the game based on only these facts that they gave them. In the second experiment, the second group was given the stats, the halftime scores of the teams at 4 previous

The researchers in this study used different means of measurement to gather information on different aspects of the study. One thing the researchers did was use three different locations for the

To begin, the two populations I selected were females and males and the variable was the amount of songs each gender has saved in their phone. The reason I decided to focus on this topic was because there are many new applications that provide free music therefore, I was curious what gender still had the most music downloaded on their phone. The question I wanted to answer was, “do females or males have more songs downloaded to their phone”? This project is a random sample because I did not know how many songs each gender had on their phone and I also randomly choose people who I did not know. I also did not have a specific area where I asked people the number of songs they had. Anyone would be able to benefit from this data because it

The manager of Snowpea Restaurant collected data on the new four delivery people to find the possible cause of the complaints. Figure two shows the descriptive statistics for the preparation time, in minutes, from when the orders are placed until they are ready to be delivered to the customers. Based on the descriptive statistics of the sample data for the preparation time, the deliverers two and four have a mean preparation time slightly higher than the total mean of the four people, which could contribute to a longer delivery time of the orders. However, the mean of those two delivery people are not significantly higher, so the preparation time could not be the cause of the delays in delivery.

Method: For my survey I tested 26 people, all of these people were 18-14 years of age. Though I did give out many surveys, I picked my