Deseasonalizing data o Seasonalizing data • How indexes are computed (see Example 7 on page 109) Accuracy and Control of Forecasts Measures of Accuracy o Mean Absolute Deviation (MAD) o Mean Squared Error (MSE) o Mean Absolute Percentage Error (MAPE) Forecast Control Measure o Tracking Signal Mean Absolute Deviation (MAD) Mean
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are mean‚ median‚ and mode. Mean is “a measure of central tendency that offers a general picture of data without inundating one with each of the observations in a data set” (Sekaran‚ p. 396‚ para 3). A more common term for mean is average. The median is “the central item in a group of observations when they are arrayed in ascending or descending order” (Sekaran‚ p. 396‚ para 5). Mode is the “most frequently occurring phenomenon” (Sekaran‚ 396‚ para 6). The following table shows the mean‚ median
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TWO-PROCESS THEORIES AND STROOP EFFECT: STUDYING THE EFFECT OF COLOUR CORRELATED WORDS (IV) vs. NEUTRAL WORDS WHEN RECORDING RESPONSE TIMES (DV) FOR IDENTIFYING THE INK COLOUR IN WHICH A WORD IS PRINTED. Abstract The idea of two-process theories and the Stroop effect are assessed in this experiment. The intention is to look for a predicted pattern between the response times of two separate conditions; one using a list of words that are colour related‚ such as “lemon” and another list of words which
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Approachability 19 Fair and unbiased attitude 24 Punctuality and Regularity 29 Knowledge of the subject matter 34 Relationship with the trainees 39 Personal appearance 44 Guidance and Helpfulness 49 Professionalism 54 Analysis using Overall Mean Value Chart 59 Analysis using BARS 60 FINDINGS‚ SUGGESTIONS AND CONCLUSION 61 Findings 61 Suggestions 62 Conclusion 63 List of Tables Table 1 - Age of the respondents 6 Table 2 - Gender of the respondents 7 Table 3 - Qualification of
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provided on Bb. Statistic Std. Error Income Mean 43.48 2.058 99% Confidence Interval for Mean Lower Bound 37.97 Upper Bound 48.99 5% Trimmed Mean 43.42 Median 42.00 Variance 211.724 Std. Deviation 14.551 Minimum 21 Maximum 67 Range 46 Interquartile Range 25 Skewness .096 .337 Kurtosis -1.248 .662 HouseholdSize Mean 3.42 .246 99% Confidence Interval for Mean Lower Bound 2.76 Upper Bound 4.08 5% Trimmed Mean 3.36 Median 3.00 Variance 3.024 Std. Deviation
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R = highest observation minus lowest observation R = H.V. – L.V. • Grouped Data R = highest ucl – lowest lcl B. VARIANCE and STANDARD DEVIATION Meaning: Variance is the mean of the squared deviation from the mean. Standard Deviation is the positive square root of variance. Formula for Variance and Standard deviation : [pic] • Ungrouped Data [pic]
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themselves as a family member who looks after a person they love‚ not as a carer. This means that you may not think to look for‚ or ask for help. There are a wide range of services available to help you in your caring role. Whatever the service‚ whether it’s short-term respite or counselling‚ it is designed to lend you the support and assistance you may need. It’s things like having some extra help and support that may mean you can stay in your caring role for longer. Caring for someone can be challenging
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normal distribution. Interpretation: Skewness > 0 - Right skewed distribution - most values are concentrated on left of the mean‚ with extreme values to the right. Skewness < 0 - Left skewed distribution - most values are concentrated on the right of the mean‚ with extreme values to the left. Skewness = 0 - mean = median‚ the distribution is symmetrical around the mean. Kurtosis - indicator used in distribution analysis as a sign of flattening or "peakedness" of a distribution. Interpretation:
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quite high viz; 1.13‚ 8.35‚ 1.34‚ 4.28‚ 84.92‚ 59.86‚ 25.09‚ 18.24 and 88.69%‚ respectively. The pH of the fruit falls within the acidic range (4.80) and the mean value recorded for the electrical conductivity was 163.24 μS/cm. The content mineral elements in the fruit show that sodium‚ phosphorus‚ manganese‚ iron‚ zinc and copper have high mean concentrations‚
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CANTEEN ADMINISTRATION AND OPERATION AT MAYSAN NATIONAL HIGH SCHOOL: AN ASSESSMENT A Special Project Presented to the Faculty of the College of Science Philippine Normal University Manila In Partial Fulfillment Of the Requirements for the Degree Master of Education With Specialization in Home Economics By: ARLENE B. MANIQUIZ March 2009 ACKNOWLEDGMENT The researcher wishes to extend her profound gratitude‚ acknowledgment and appreciation to all the people who have inspired her to
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