IF SOMEONE ELSE ALSO SUBMITTED THIS ASSIGNMENT MAKE SURE IT IS TOTALLY DIFFERENT. Before starting th ...
IF SOMEONE ELSE ALSO SUBMITTED THIS ASSIGNMENT MAKE SURE IT IS TOTALLY DIFFERENT. Before starting this lab, please make sure to watch all the lecture videos and example videos in Chapters 1, 2, 3, & 4 modules. These videos will help you complete this lab correctly. DO NOT USE ANY AI Purpose: A solid understanding of types of variables, appropriate graphs, measures of central tendency and variability to use is a critical first step toward statistical literacy and data analysis. And just as important is the ability to get meaning from our data. Remember there are 3 things we always want to know about data: the shape, the typical value, and the spread of the distribution. In Chapter 2, we explored how to interpret the shape of the distribution using frequency tables and graphs. In Chapter 3, we discussed how to determine typical values in our data using measures of central tendency (mean, median, or mode). In Chapter 4, we explored how to determine the spread of our data using measures of variability (range, variance, or standard deviation). This learning activity will assess your ability to: (a) classify different types of variables, (b) describe what the data are telling us using frequency tables and graphs for the variables you choose, (c) calculate and interpret typical values (measures of central tendency), (d) calculate and interpret spread in a distribution, and (e) determine shape of a distribution using measures of central tendency. Throughout this course, we will continue to emphasize the types of variables that are appropriate for statistical analyses. Also, variability is at the core of statistics. Skills: The purpose of this assessment is to help you practice the following skills that are essential to your success in this course and in your professional life beyond school: identifying different types of variables creating and analyzing tables and graphs calculating and interpreting typical values using measures of central tendency calculating and interpreting spread of data using measures of variability determining shape of a distribution based on central tendency Knowledge: This assessment will also help you to become familiar with the following important content knowledge in elementary statistics: distinguishing between qualitative, quantitative, discrete, continuous, nominal, ordinal, interval, and ratio variables summarizing data using tables and graphs distinguishing between mean, median, and mode distinguishing between range, variance, and standard deviation summarizing data using most appropriate measures of central tendency and variability determining when appropriate to describe shape for distributions Task: For this learning activity, you will be using our Stat 101 Class Survey data (down below) This file is also in Chapter 4 Module under Learning Activities. You will need access to a computer with Microsoft Excel and Word. Remember that everyone has access to Office 365 (which includes Microsoft Excel and Word) in our Canvas course in the left navigation. Open the original Stat 101 Class Survey Data file. Look over this data file to familiarize yourself with the data. (down below) Part A. Select one nominal variable that interests you from the Stat 101 Class Survey Excel data file in Chapter 4 Module under Learning Activities (You may not use variables used in example Excel videos). Create a frequency table and most appropriate graph for the nominal variable you choose to work with. Copy and paste the table and graph you created onto a Word document. Also, please make sure to label this as Part A in your Word document. Next, you will describe what type of variable you have chosen: nominal, qualitative or quantitative, and discrete or continuous. Then, you will describe what is going on with this nominal variable using the frequency table and graph. The goal here is to get the meaning from the data. Description must include each categories and each corresponding frequencies and percentages. Description must also include most frequent category. Description must be concise (short and to the point) Part B. Select one ordinal variable that interests you from the Stat 101 Class Survey Excel data file in Chapter 4 Module under Learning Activities (You may not use variables used in example Excel videos). Create a frequency table and most appropriate graph for the ordinal variable you choose to work with. Copy and paste the table and graph you created onto the same Word document you used for Part A. Also, please make sure to label this as Part B in your Word document. Next, you will describe what type of variable you have chosen: ordinal, qualitative or quantitative, and discrete or continuous. Lastly, you will describe what is going on with this ordinal variable using the frequency table and graph. The goal here is to get the meaning from the data. Description must include each categories or scores and each corresponding frequencies and percentages. Description must also include most frequent category or score. Description must be concise (short and to the point) Part C. Select one interval or ratio variable that interests you from the Stat 101 Class Survey Excel data file in Chapter 4 Module under Learning Activities (You may not use variables used in example Excel videos). Create a frequency table and most appropriate graph for the interval or ratio variable you choose to work with. Copy and paste the table and graph you created onto the same Word document you used for Parts A & B. Also, please make sure to label this as Part C in your Word document. Next, you will describe what type of variable you have chosen: interval or ratio, qualitative or quantitative, and discrete or continuous. Lastly, you will describe what is going on with this interval or ratio variable using the frequency table and graph. The goal here is to get the meaning from the data. Description must include each scores or class intervals and each corresponding frequencies and percentages. Description must include most frequent score or class interval. Only if applicable, description must also include shape of the distribution. Is the distribution of scores symmetric or skewed? Are there outliers or extreme scores? If skewed, then which score(s) are outliers? Description must be concise (short and to the point) NOTE: Remember that the type of variable you choose will determine the type of graph to create. Bar graphs or pie charts (depending on number of categories) are used for qualitative (discrete, nominal, and ordinal) variables. Histograms are used for quantitative (continuous, interval, and ratio) variables. Part D. Select one quantitative, continuous variable that you find most interesting, and you would like to interpret from the Stat 101 Class Survey Excel data file in Chapter 4 Module under Learning Activities. You may not use the same variable you chose for Parts A, B, or C of this lab. You also may not use variables used in the example Excel videos. Calculate all three measures of central tendency and all three measures of variability using Excel. Please make sure to copy and paste all 6 of these measures onto the same Microsoft Word document you used for Parts A, B, & C. Also, please make sure to label this as Part D in your Word document. Next, you will describe and interpret what is going on with this quantitative, continuous variable using the most appropriate measure of central tendency and measure of variability. Remember, that the goal here is to get the meaning from the data. You will use only one measure of central tendency (the most appropriate) and one measure of variability to describe and interpret what is happening with this variable. Is it appropriate to determine the shape of a distribution for quantitative, continuous variables? Why or why not? If appropriate, determine and briefly explain the shape of this distribution based on measures of central tendency. Please make sure to explain the shape using measures of central tendency. Part E. Select one quantitative, discrete variable that you find most interesting, and you would like to interpret from the Stat 101 Class Survey Excel data file in Chapter 4 Module under Learning Activities. You may not use the same variable you chose for Parts A, B, or C of this lab. You also may not use variables used in the example Excel videos. Calculate all three measures of central tendency and all three measures of variability using Excel. Please make sure to copy and paste all 6 of these measures onto the same Microsoft Word document you used for Parts A, B, C, & D. Also, please make sure to label this as Part E in your Word document. Next, you will describe and interpret what is going on with this quantitative, discrete variable using the most appropriate measure of central tendency and measure of variability. Remember, that the goal here is to get the meaning from the data. You will use only one measure of central tendency (the most appropriate) and one measure of variability to describe and interpret what is happening with this variable. Is it appropriate to determine the shape of a distribution for quantitative, discrete variables? Why or why not? If appropriate, determine and briefly explain the shape of this distribution based on measures of central tendency. Please make sure to explain the shape using measures of central tendency. Criteria for Success: Appropriate tables and graphs are chosen for nominal, ordinal, and interval/ratio variables Description and interpretation of frequency tables and graphs demonstrate an understanding of what the data are telling us Interpretation of central tendency and variability shows understanding of what the data are telling us Includes description and interpretation of shape (when appropriate), most appropriate central tendency and variability measures, and outliers or extreme scores Analysis and interpretations are reported in such a way that someone with no statistical background would understand
