Follow the instructions below to submit your answers for Chapter 7, 8, & 9 Practice Problems. 1 Save these instructions to your computer. 2 Type your answers into the shaded boxes below. The boxes will expand as you type your answers. 3 Each shaded box is worth 1 point unless otherwise noted, thus, 16 points total for Chapter 7, 8, & 9. 4 Resave this form to your computer with your answers filled in. 5 Upload the saved form to the Assignment Files tab. Read Chapter 7 Practice Problem
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HYPOTHESIS TESTING Using SPSS for Windows 1. INTRODUCTION In order to pass this aspect of your course, you need to understand the "mechanics" of the statistical processes as taught in your Introductory Statistics course, and be able to apply them to the practical example at hand. This means that you have to "think" about what your data means. You have to "think" about suitable analyses for the level of measurement of your variable (nominal, ordinal, interval, or ratio). You then have
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If the cholesterol level of healthy men is normally distributed with a mean of 180 and a standard deviation of 20, and men with cholesterol levels over 225 are diagnosed as not healthy, what is the probability of a type one error? z=(225-180)/20=2.25; the corresponding tail area is .0122, which is the probability of a type I error. If the cholesterol level of healthy men is normally distributed with a mean of 180 and a standard deviation of 20, at what level (in excess of 180) should men be diagnosed
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Final Project You are required to complete a final project. Please consult the Course Calendar for the due date. Project Description Statistics is about more than calculations. It is about turning data into information and using this information to understand the population. A statistician will be asked to help solve real world problems by designing a study, collecting data, analyzing the data, and writing up the results. As a final project, you will be asked to do something similar. Though the
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Assignment 1: Making Decisions Based on Demand and Forecasting Regression analysis is the description about the relationship between two variables where one is dependent and the other is independent. Regression analysis (in statistics), generally, is about any techniques that facilitate modeling and analysis of several variables. It focuses on the relationship between a dependent variable and one or more independent variables (Sykes, 2000). To be specific, regression analysis
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ForecastX Software (There will be additional ForecastX notes for subsequent chapters) 1. Insert disk and install a. Note: you will have to do this every time you use a campus computer, but the process should only take a minute or two. b. Insert disk. If a McGraw Hill screen pops up, just agree to what it is asking you, and then reduce the window. c. Double click on “My computer” d. Select (click once on) cdrom drive (or whatever the listing is for the drive
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P(t25 Critical value: Statistic= t=(26.067-25)/(1.534/√15)=2.694 Critical value= inv-t(14,0.01) =2.624 Test value: Reject region: {t/t>2.624} Decision: statistic=2.694>2.624=critical value We reject H0, At the .01 significance level we conclude that the mean number of patients per day is more than 25. Decision: P-value= t(2.694,14)=0.0087 So p-value < 0.01 (we reject H0) Summary: We can interpret the p-value as: p-value= probability of obtaining a statistic value greater than 2.694
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Descriptive Statistics Once the Data collection process has been completed the researcher must then try to make sense of the information collected. The data at this stage will be in its raw form and will generally not be suitable for presentation or interpretation The purpose of descriptive statistics, as the name suggests, is to describe a set of data. They are used to provide manageable summaries of data sets. They are the simplest and most widely used set of statistics and in many data
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UNIT #5 DISCUSSION DQ #1: Data collection is one of the most challenging steps that prevent learners from completing their dissertation. What challenges do you foresee in collecting your data? What are some strategies you’ll deploy to overcome these challenges? a) Challenges in collecting data Reliability and validity In data collection, reliability and validity of the data are important considerations, which a researcher should pay attention to. Reliability, in this case, can be described
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MAT 300 – Assignments and Rubrics ALEKS Pie Completion Worth 400 points The primary goal of this class is for you to complete the entire pie by the end of the term. Points for pie completion will be added to your score at the end of the term. ALEKS Emphasis on Lab Work. On-ground sections of the course will be taught in a computer lab, with three (3) hours of lab time using ALEKS for every one (1) hour of traditional instruction. Thus, students in an onground section of the course will log
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