Explain the Concept/Reteach: (One-on-One Reteach with Donna) We first need to cover scatterplots. Scatterplots are used to plot points of data on a graph. They show how much one variable is affected by another. We will go into more depth of a correlation. If there is no correlation, then the value given is 0. The closer the number is to 1 or -1, the stronger the correlation. The closer the number is to 0, the weaker the correlation. Next in the lesson, we will talk about finding the trend line. A trend line is a straight line drawn through the center of a group of points plotted on a scatter plot. This line may be used when determining the relationship between two variables. You will be able to find the trend line using y = mx t b
Many statistical ideas were mentioned in the Barron’s guide. In the topic called Graphing Display the Barron’s guide discusses the different types of graphs, measures of center and spread, including outliers, modes, and shape. Summarizing Distributions mentions different ways of measuring the center, spread, and position, including z-scores, percentile rankings, and the Innerquartile Range, and its role in finding outliers. Comparing Distributions discusses the different types of graphical displays and the situations in which each type is most useful or appropriate. The section on Exploring Bivariate Data explains scatter plots in depth, discussing residuals, influential points and transformations, and other topics specific to scatter plots. Conditional relative frequencies and association, and marginal frequencies for two-way tables were explained in the section entitled Exploring Categorical Data. Overview of Methods of Data Collection explained the difference between censuses, surveys, experiments, and observational studies. Surveys are discussed more in depth in Planning and Conducting Surveys, including characteristics of a well-designed and well-conducted survey, and sources of bias. Planning and Conducting Experiments explains experiments in depth; going over confounding, control groups, placebo effects, and blinding, as well as randomization. Basic rules for probability are discussed in Probability as Relative Frequency, including the law of large numbers, addition rule, and multiplication rule. Other topics discussed in this section include the different types of probability calculations. Combining Independent Random Variables discusses manners in which two variables can be compared to each other and things to be wary of while doing so.
In this book Sherry Turkle studies something she thinks we as a people are losing sight of, which is face to face conversation. She explains in her book why she believes this is so important, and the consequences we will face if we continue to ignore this growing problem. Her argument about conversation stems from talking to people, face-to-face, In which she finds many of whom have difficulty doing so. Turkle Believes this is mainly because of digital technology. In today’s world people are so glued to their phones, that they loose grip on what it 's like to hold a conversation. Sherry understands this is to be because when we use digital technology as a form of communication, we only utilize one or two of our human senses.The
work out a pattern that I could use to find the gradient of any curve.
Trend lines; are the rates in a data table either showing a negative slope or a positive one. In this instance, the trend lines of crimes like homicides, rapes, and shooting in the US are on a downwards slope (para. 6). However, trend lines on the subject are rarely researched because they are no competition for headlines. Headlines are what grasp the worlds attention, even if it’s not true. Headlines create audience awareness which promotes the reader to engage in the story. As a reader, the first thing my eyes are drawn to in an article is the headlines. Pinker and Mack use resources from the Bureau of Justice Statistics and the FBI Uniform Crime Reports in order to get accurate data without using media and headlines. Bold, exciting, and even simple words convey the reader into buying the article just out of curiosity, that is how the media makes its profit, through casual wording and interesting
Standard deviation is an estimate of variability that accompanies the mean in describing a distribution. You are taking a look at each distribution to see how far away each score deviates from the mean.
I know I'm going to sound like a crybaby, but I'm cold, tired and extremely weak. The bleeding has finally stopped, but the pain that's constantly shooting through me is making it very hard for me to move around. My leg is so red and swollen I'm afraid I might lose it if I don't get it looked at soon but I’m afraid the dogs will find me if I leave. Since there's no reception in the cave I can't use my cell phone to call for help.
However, there still exit certain disadvantages. As this model mostly is provide figures, which hard to compare and illustrate errors among actual observation, quarterly forecast and annually forecast. Therefore, using line graph could clearly illustrate the tendency and differences among these variables. User have to change the data of the line graph that are provided in excel file.
While accumulating data is essential to interpreting progress and making progress in future ventures, the ability to display data is critical. Displaying data allows for a superior understanding of the information. The three most common ways to visually display data is through the use of pie charts, bar charts, and line graphs. Pie charts are best used when comparing parts of a whole (Data Driven Decisions). A disadvantage of using a pie chart is that one will not be able to see changes over time. If one is trying to best track changes over time bar charts and line graphs will be used. When smaller changes exist, line graphs are better to use than bar graphs. Line graphs can also be used to compare changes over the same period of time for more than one group (How do I). Conversely, when trying to measure change over time, bar graphs are best when the changes are larger (How do I). Below is a chart with examples of data sets and the accompanying appropriate frequency chart.
You may also be asked to find the gradient of the normal to the curve.
Debbie and Julie is a story about a pregnant girl, Julie, who ran away from home just five months earlier. The story starts with Julie leaving Debbie's apartment while she is in labour. Debbie had been taking care of Julie, but she had gone away with her boyfriend. Julie went to a shed, as she had planned out, to give birth to her baby. After giving birth, she left the baby in a telephone box, where it was found and brought to the hospital, just a short while after. Julie decided to go home after giving birth to the baby. She covered up the fact, which she had blood all over her, and was in pain when going home to her parents. Her parents were very tearful when Julie returned home, they were afraid to ask her questions about her disappearance
One of the easiest ways to draw out a plot is the use of graph paper if you have it. If not, the school in your neighborhood or office supply stores will have some. The reason for graph paper is grid lines are already on it and will make drawing straight lines very easy. You can also draw out a garden to scale too.
... portrays the calculated results in conjunction with graphical charts. This ensures an ease of understanding the data.
Another measure of dispersion that is less sensitive to extreme values is the standard deviation. The standard deviation of a data set makes use of the individual amount that each data value deviates from the mean.
Data visualization: Representation of the data. Data scientists need tools to deal with the data. What best value can be brought out of it? How can it be broken down? How one parameter is correlated to other? All these questions are answered with one of the solutions - Data Visualization.
Measures of central tendency are not the only statistics used to summarise a distribution . We also have to identify the spread of the distribution of the data set. Spread defines how widely the observations are spread out around the measure of central tendency. Note that the words, spread, dispersion and variation denote the same meaning. The most commonly used measures of spread are range, variance and standard deviation. The scales of measurement appropriate for the use of variance and standard deviation are ratio and interval scales.