leaves mainly differed through their length rather than their widths. The mean and median for the width were only one-tenth apart‚ and for the length they were two-tenths apart. Both of the length and width had a larger mean. The mean and median of the surface area were contrasted from those of the length and width with a larger difference between the mean and median (five and eight-tenths difference) and a larger median. In fact‚ the surface area of the leaves contained larger numbers with a larger
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numbers) increase” (Median Income). During a thirty year period‚ the college tuition has quadrupled. The largest increase in tuition rates can be observed between the years 2008 and 2013. Although the college cost has risen‚ the medium income for a men or women with a bachelor degree has stayed relatively constant. One source says that “the median income in 1971 for men was $6‚903 ($34‚898 adjusted for inflation) and for women was $2‚408 ($12‚174 adjusted for inflation). In 2012‚ the median income for men
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identify the colour of each stimulus was recorded‚ and related to whether the word presented identified‚ contrasted with or contained an unrelated meaning to the font colour it was displayed in. This data was collected and compared in order to assess the median time taken to correctly respond to each level of congruence. The results confirmed the effect of interference on the identification of colour when presented with contrasting semantic cues. However additional inferential statistics are required to
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Now calculate the mean‚ median‚ and mode of each of your classes or groups. The Women’s Trios Name / Age Monday Tuesday Wednesday Thursday Friday Individual Total Destanie ( 7 ) 1.5 ------------ 1 1.5 1.5 5.5 Dainelle ( 8 ) 1.5 ------------ 1 1.5 1.5 5.5 Ava ( 5 ) 1
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mean‚ median‚ and mode for the following distribution: (5 pts) 1‚2‚2‚3‚3‚3‚3‚3‚3‚4‚4‚5‚6‚7‚7‚8‚8‚8‚8‚8‚8‚9‚9‚10 The mean is what people call the average. (1+2+2+3+3+3+3+3+3+4+4+5+6+7+7+8+8+8+8+8+8+9+9+10 = 127/24 = 5.2916 Mean = 5.29 The median is the middle value. When the middle does not fall neatly in the distribution‚ use the following formula to identify the position. In the formula n is the sample size. Median position = (n + 1) / 2 Median position = (24 + 1)/2 Median position
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Chapter 2 11. Calculate descriptive statistics Mean: 2 Median: 2 sum of squared deviations: 56 Variance: 2.8 standard deviation: 1.67332 12. Calculate descriptive statistics Mean: 1‚112 the mean is 56.5; 1‚1245 the mean is 123; 1‚1361 the mean is 181; 1‚1372 the mean is 186.5; 1‚1472 the mean is 236.5 Median: 1‚112 the median is 56.5; 1‚1245 the median is 123; 1‚1361 the median is 181; 1‚372 the median is 186.5; 1‚1472 the median is 236.5 sum of squared deviations: 1‚112 is 6160.5;
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651‚000.00 / $ 19‚539‚000 = 0.749 @ 0.75 ( Lower Quartile) Quick Ratio = (Current Asset – Inventory) / Current Liability = ($14‚651‚000 - $6‚136‚000) / $19‚539‚000 = $8‚515‚000 / $19‚539‚000 = 0.436 @ 0.44 (Median) Total Asset Turnover = Sales / Total Assets = $167‚310‚000 / $108‚615‚000 = 1.540 @ 1.54 (Upper Quartile) Inventory Turnover = Cost of Goods Sold / Inventory = $117‚910‚000 / $6
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In this paper‚ I’m going to talk about what cities and areas of San Diego have higher real estate prices and higher incomes and why. Although the average home value in San Diego county is higher than most of the rest of the country‚ there is still a large spread in average home values. The average income in San Diego county is in the top ten percent in the country. Like home values‚ incomes vary greatly from place to place within the county‚ ranging from around $11‚000 to around $110‚000. According
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for a set of variables Mean Median 3.2 3.5 4.5 5.0 3.7 4.0 3.7 3.0 3.1 3.5 3.6 3.5 3.1 3.0 3.6 3.0 3.8 4.0 2.6 2.0 4.3 4.0 3.5 3.5 3.3 3.5 4.1 4.5 4.2 5.0 2.9 2.5 3.5 4.0 3.7 3.5 3.5 3.0 3.3 4.0 Calculating Descriptive Statistics Descriptive Statistics: Mean‚ Median Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum Mean 20 0 3.560 0.106 0.476 2.600 3.225 3.550 3.775 4.500 Median 20 0 3.600 0.169 0.754
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SPSS ASSIGNMENT #1 Read chapters 1‚ 2‚ and be sure to go through the SPSS tutorial (or “run the tutorial”). Then‚ follow these guidelines.S3 To Enter Data: 1. Click on the Variable View tab in the lower left corner of the screen. In the first box under the column Name‚ type the name you want to give the first variable (i.e.‚ “SCORE1” – NOTE: there are no spaces allowed in the variable name). The name of your variable can be up to eight characters (no spaces a permitted by SPSS in the variable
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