What is the median beginning salary for white females with 16 years of education? _____________ d. What is the median beginning salary for minority males with 16 years of education? ____________ Note: Questions 3, 4, and 5 below do not involve SPSS. You will need to consult the “Table of Areas Under the Normal Curve” handout. 3. Assume grades on an exam are normally
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Interpretation of SPSS output for Car Care Inc. Jacquelynn Patterson Liberty University Online Professor Lingley Busi 331-B01 October 7, 2013 1.0 Introduction Statistics in social sciences are an important aspect in making the understanding of social behaviors plausible in organizations, governments, marketers and other cohorts with same interest. Initially, statistical manipulations were conducted manually and obliged researchers to have
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Oneway ANOVA Household Grocery Order Amounts $ Sum of Squares df Mean Square F Sig. Between Groups 29343.557 2 14671.778 7.128 .001 Within Groups 177019.882 86 2058.371 Total 206363.438 88 Post Hoc Test Multiple Comparisons Household Grocery Order Amounts $ Tukey HSD (I) Cities (J) Cities Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Lower Bound Upper Bound St. Catherines Edmonton -42.50460* 11.81485 .002 -70.6825 -14.3266 Moncton -9.23333 11.71430
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A species of marine arthropod lives in seawater that contains calcium in a concentration of 32 mmole/kg of water. Thirteen of the animals are collected and the calcium concentrations in their coelomic fluid are found to be 28, 27, 29, 29, 30, 30, 31, 30, 33, 27, 30, 32 and 31 mmole/kg. Test at 5% level of significance appropriate hypothesis to conclude whether members of this species maintain a coelomic calcium concentration less than that of their environment. A study was conducted to examine
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Factor Analysis Steps…. In order to get the results of factor analysis, you need to handle with main following steps: 1. Open Data File: (.sav file)—SPSS data file. 2. Click on Analyze ( Data Reduction ( Factor ( Select the (items) variables from the panel and move it to the right panel in the “Variable box”. (See Figure 1.1) [pic] 3. Click on Descriptive ( Check: (See Figure 1. 2) ✓ Initial Solution ✓ KMO & Bartletts ✓ Anti-image ( Continue
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we intend to prove whether or not it is viable for this supermarket chain to extend the product line of the toothpaste brand Freshgel. To do this we will need to examine the data provided and formulate a number of descriptive statistics utilising SPSS analysis. Following intense evaluation of the information we will compile a detailed report summarising our interpretation of the data, whilst also explaining the approach we have used. Finally, we will come to a succinct conclusion informing the
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Now you have some basic understanding of SPSS, it is time to explore the program is more detail by doing some exercises. If you use the computer, all you need to know are the right commands. Since the questions below involve inferences about population means, the number of commands you will use is rather limited (Analyze > Compare Means). The real challenge of these questions is therefore not so much in the statistics involved (which mainly pertain to Chapters 12 and 13), but to be able to define
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How to Use and Apply SPSS Version 15.0 for Windows Notes This mini guide/ walkthrough is for SPSS 15.0 for Windows and was written in the Summer of 2010. If there are any changes/updates that apply afterwards, this document will not address them. Additionally, if a previous version (pre 15.0) is being used, this document might not fully apply. This said, the concepts behind what is being explained should still be the same, so long as the functions of the program remain similar. This guide is intended
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One Way ANOVA using SPSS Introduction The one-way analysis of variance (ANOVA) is used to determine whether there are any significant differences between the means of two or more independent (unrelated) groups (although you tend to only see it used when there are a minimum of three, rather than two groups). For example, you could use a one-way ANOVA to understand whether exam performance differed based on test anxiety levels amongst students, dividing students into three independent groups (e.g
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SPSS Output Summary Name of the student Name of professor Date The relationship between IQ scores and GPA follows a null hypothesis. It can be expressed as null hypothesis: p = 0, there exists no correlation between IQ scores and GPA Alternative hypothesis: 0, quantifiable correlation between IQ scores and GPA Results of the test showed statistical significance. There exists a positive relationship between IQ score and GPA. The strength of the relationship is 0.446 with
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