int2pd3ch11011

toc = Chapter 1: Sample and Display Data = Chapter 1 Preview: [|Chapter 1 Preview 1011.pdf]



**Wiki Summary Assignments**
//**Due the school day after we cover the lesson in class **//

1-1: Andrew J. and Ashley U. 1-2: Brandy C. and Olivia G.  1-3: Kailyn H. and Mitch H.  1-4/1-5: Charles G. and Paul R.  1-6: Derik K. and Hunter N.  1-7: Hayden B. and Tanya H.

1-1: Surveys and Sampling Methods
Notes: [|Section 1-1 Student 1011.pdf] media type="custom" key="6822135" View the lesson online here Lesson on iTunes

**Student Summaries:** Andrew J. and Ashley U. This lesson is about Surveying and Samping Methods. The methods are Random Sampling- each member has an equal chance of being selected. Cluster Sampling- members of the population are randomly selected from particular parts of the population and surveyed in clusters. Convenience Sampling- members of the population are selected because they are readily available, and all are selected. Systematic Sampling- Members of the population that have been organized in some way are selected according to a pattern.Biased- the characteristics of a survey whose finding are not truly representative of the entire population. - Ashley U.

Surveys and sampling methods! Random, cluster,convenience, systematic, are all different types of sampling methods! They are all used and have different ways and produce different results. You want to look at a population or group of people and then sample and amount to get an idea of what your looking for. These methods can be biased so you have to be careful on whats true and whats false when it comes to using these methods. - Andrew J.

1-2: Measures of Central Tendency
Notes: [|Section 1-2 Student 1011.pdf] media type="custom" key="6851775" View the lesson online here Lesson on iTunes

mean,median and mode are all measures of central tendency. When you use mean you find the average of grades or whatever you are looking for. When using median you are finding the number in between all the numbers but it is important to put them in order. When you use mode it is like the word most which in this case it means the number occurred the most in that set of data. In some cases you might include range which is the biggest number minus the littlest. - Brandy C.
 * Student Summaries: **Brandy C. and Olivia G.

The measures of central tendency consists of the mean, median, and the mode. To find the mean you add all the values in the set then divide that by how many values there are total. It is also finding the average of that set. The median is like finding the center number of the whole set but it first must be in order from least to greatest or greatest to least. Mode is one that almost sounds like what it means, it means the value of the set that appears the most. The range is the highest number subtracted by the lowest number which is sometimes also included. -Olivia G.

1-3: Histograms and Stem-and-Leaf Plots
Notes: [|Section 1-3 Student 1011.pdf] media type="custom" key="6928449" View the lesson online here Lesson on iTunes

Okay, the essential question: what are histograms and stem-and-leaf-plots? A histogram in a way is like a bar graph, only there is no space in between each bar. Groups are plotted on the x-axis, and the frequencies on the y-axis. You get the groups and frequencies from a table that should be presented to you. A histogram will show you the data in various ranges. Now, for a stem and leaf plot, the process is very simple. You draw a line, the left side is the stem and the right side is the leaf. The leaf contains only single digits, where the stem contains mulitple numbers. for example, if you have the number 322 the stem is 32 and the leaf is 2. --> 32|2. something like that. its a good idea to use the stem and leaft plot for small sets of data. However, the numbers must be in order from smallest to largest. - Mitch H.
 * Student Summaries:** Kailyn H. and Mitch H.

Frequencies are often shown in histograms. A frequency table records the number of times a response occurs, but does not offer a visual display. In a stem and leaf plot the leaf is the digit at the farthest to the right of the number and the stem is the digit that remains after the leaf is dropped. A vertical line separates the stems and leaves. All stem and leaf plots must include a key. Stem and leaf plots help you notice outliers, clusters, and gaps. Outliers are values much greater or less than most of the other values, clusters are isolated groups of values, and gaps are large spaces between values. - Kailyn H.

1-4/1-5: Scatterplots, Lines of Best Fit, and Correlation
Notes: [|1-5 Student 1011.pdf] media type="custom" key="6900947" View the lesson online here Lesson on iTunes

the lesson on scatterplots and lines of best fit was about graphing data to show relationships between two sets of data. The relationship that a scatter plot displays is a correlation. A correlation can be positive or negative and weak or strong. some scatter plots show no correlation. coefficient of correlation is a statistical measure of how closely data fits a line. It helps to determine strong and negative correlations. By Charles G.
 * Student Summaries:** Charles G. and Paul R.

1-6: Quartiles and Percentiles
Notes: [|Section 1-6 Student 1011.pdf] media type="custom" key="6922587" View the lesson online here Lesson on iTunes

** Student Summaries: ** Derik K. and Hunter N.

A way to analyze data is through quartiles. Quartiles are three numbers that group data into four equal parts. Quartiles are segments of a box and whisker plot. A box and whisker plot consists of a number line with all the numbers needed, for example you have numbers 1, 2, 5, 16, 26, & 56. So you would want to make the number line from 1-60 that way you can include and/or label the necessary numbers. By Derik K.

1-7: Misleading Graphs and Statistics
Notes: [|Section 1-7 Student 1011.pdf] media type="custom" key="6938681"

View the lesson online here Lesson on iTunes

**Student Summaries:** Hayden B. and Tanya H This lesson is on Misleading Graphs and Statistics. Misleading data is data that leads to a false perception. When someone would use a misleading graph is when they are going to try to sell something or persuade to change your mind about something. One way to present correct data so that it is misinterpreted is t alter a scale of show only a certain segment of the results. People mostly show that good parts of the scale and not the bad parts. When looking at a misleading graph you need to be careful that they do not trick you. - Tanya H.

**Calendar** media type="custom" key="6851763"