Solved: Statistics SPSS Lab report.

Method: Step One = Download Data. The housing-quality variables and their scores for hundreds of single-detached and duplex(-like) houses in the neighbourhood surveyed by students in 2006 and 2013 are in the SPSS datafile named Uhqsurvey1306.sav. The variables in the dataset, their names and word-desсrіptors were introduced during class-discussion of the course outline. After making sure that SPSS is installed on the computer, and that it is connected to the internet, then click on this link (or another active one on this webpage) to download Uhqsurvey1306.sav to the computer. Scroll the dataset up and down in the Data View window to ensure its full retrieval. Pan left and right to observe the complete rows of data. Method: Step Two = Run SPSS Frequencies. To perform a graphical frequency classification in SPSS, and to compute some univariate statistics for a variable, click on Analyze from the main menu, and then Desсrіptive Statistics, followed by Frequencies. Highlight and pop the pHQ2006 and pHQ2013 variables of interest into the Variable(s) box. Uncheck the Display frequency tables. Click on the Statistics, and choose to compute the Mean and the Median, and the Maximum and the Minimum, and the Range. Then click on Chart and, in the next dialogue box, ask for a Histogram. After continuing back to the main dialogue box, click on OK to run the analysis. The Output Window will contain any messages about the analysis, as well as the statistics and charts. Method: Step Three = Edit The Charts. Note that SPSS default settings for a histogram sometimes produce unworkable results. A chart in the output window may be edited by either double-clicking on it, or right-button-clicking on it, in order to open it in the Chart Editor. The chart may then be edited: Via the properties window for the bars, (a) to re-colour the bars (Fill and Border); (b) to display the framed numbers (Show data labels); (c) to adjust the class width (Binning interval width, and custom value for anchor); and Via the properties window for the X-axis, (d) to adjust the X-axis scale (Major increment, Maximum or Minimum). Make sure to close the chart editor window once editing is finished, in order to redraw the edited chart in the output window. Method: Step Four = Printing And/Or Saving The Results. Finally, use one of four methods for saving and/or printing the results in the output window. In the case of printing, please note that one can hold the control-key down while clicking on particular results in the output window to select only them for printing. The assistant will advise whether the defaults in the Print dialogue box are appropriate. This SPSS-output of one box of statistics and two histogram charts will be attached to or included in the written Lab Report. Tasks For This Exercise. The first task in this exercise is to load the SPSS file, Uhqsurvey1306.sav, via the internet into an SPSS Data View window. The second task is to run the Frequencies Procedure to obtain frequency distributions in the form of histograms, and to compute five desсrіptive statistics for the pHQ2006 and pHQ2013 Overall Exterior Housing Qualities as Percentages Above or Below Normal, and then to answer the following six questions. Exercise Questions. (1) For the histogram of University neighbourhood houses’ pHQ2006 overall exterior housing quality percentages in 2006, use the statistics and (un-)marked points on the axes to figure out (1.1) the maximum number along the Y-axis and (1.2) the minimum number along the Y-axis; (1.3) the maximum percentage along the X-axis and (1.4) the minimum percentage along the X-axis; and (1.5) the class width along the X-axis. Write out each of these numbers, making sure both to explain the numbers and to refer to them in the correct units (i.e., ″numbers of houses″ or ″percentages″). (2) Calculate the probability that a house in the University neighbourhood has (2.1) a pHQ2006 overall exterior housing quality percentage ″within the normal range″ (i.e., greater than or equal to (-10)% and less than 10%); and correspondingly, (2.2) a pHQ2006 overall exterior housing quality percentage ″below the normal range″ (less than -10%), and (2.3 and 2.4) interpret each probability. (3) (3.1) Calculate the probability that a house in the University neighbourhood has a pHQ2006 overall exterior housing quality percentage that is greater than or equal to (-27)% and less than 25%, and (3.2) interpret this probability. (4) (4.1) Write out the Mean pHQ2006 percentage of surveyed houses in the University neighbourhood in 2006, and (4.2) interpret the meaning of the magnitude of this Mean as a percentage above or below normal in comparison with (4.3) the Mean pHQ2013 percentage of surveyed houses in University neighbourhood in 2013. (5) (5.1) Write out the Median pHQ2006 percentage of surveyed houses in the University neighbourhood in 2006, and (5.2) interpret the meaning of the magnitude of this Median as a percentage above or below normal in comparison with (5.3) the Median pHQ2013 percentage of surveyed houses in University neighbourhood in 2013. (6) (6.1) Write out the Modal Class of the pHQ2006 percentages of surveyed houses in the University neighbourhood in 2006, and (6.2) interpret the meaning of the magnitude of this Modal Class as a percentage above or below normal in comparison with (6.3) the Modal Class of the pHQ2013 percentages of surveyed houses in the University neighbourhood in 2013. Written Lab Report. Needed links: