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Spss assingment - Speech or Presentation Example

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The mean is the best measure of central tendency. This is so because; it represents the mid-point number in the distribution of hours. The median is the number of hours in the middle of the distribution and cannot be used to describe the data since there are extreme…
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Spss assingment
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Number Descriptive Statistics The number of hours spend on the internet The Attitude towards internet N Valid 20 20 Missing 0 0 Mean 5.15 2.55Median3.002.50Std. Deviation5.860.999Variance34.345.997Range253a. The mean of the number of hours spend on the internet is 5.15 hours. This shows that every student spend about 5.15 hours on the internet per week.b. The median of the number of hours spend on the internet is 3.00. This is the middle point in terms of hours. c. The mean is the best measure of central tendency.

This is so because; it represents the mid-point number in the distribution of hours. The median is the number of hours in the middle of the distribution and cannot be used to describe the data since there are extreme values.d. Measures of dispersion are used to measure variability (data spread) in a certain distribution in this case, the hours spend on the internet have a standard deviation of 5.86. This shows that, from one student time to the other there is approximately some 5.86 hours. e.

The mean attitude is 2.55. This shows that, all the students agree with the internet as an effective communication tool.f. The median for the attitude is 2.5. This shows that, a student at the centre agrees that the internet is a communication tool which is effective. g. The mean is the best measure of central tendency. This is so because it takes care of extreme values.h. The standard deviation of the attitude is .999. The spread of attitude is at an average of .999. Number 2a.Figure 1Special education had the highest score in both experimental groups (no calculator use and calculator use). b. Independent Samples Test tdfStd.

Error Difference95% Confidence Interval of the Difference LowerUpperThe raw score on textEqual variances assumed-7.164182.778-25.736-14.064 Equal variances not assumed-7.16416.4352.778-25.776-14.024The raw score on text Experimental GroupMeanNStd. DeviationNo Calculator Use96.70105.165Calculator Use116.60107.106Total106.652011.864From the raw score table above, it is evident that the use of calculator results into a very high mean score of 116.60 compared to without the use of no calculator.

However, in calculator use, the standard deviation of the score is 7.1 compared to 5.1 without calculator. The amount of spread is higher on using a calculator. The t-test shows that, the score with and without a calculator is statistically different at 95% level of significance with a p = .000. in this case, the comparison of the means in the best test used since mean measures centrally the whole data.c.The raw score on text Special Education StatusMeanNStd. DeviationNot Special Ed106.601011.

616Special Ed106.701012.737Total106.652011.864 Independent Samples Test tdfSig. (2-tailed)95% Confidence Interval of the Difference LowerUpperThe raw score on textEqual variances assumed-.01818.986-11.55311.353 Equal variances not assumed-.01817.849.986-11.56011.360The mean of the scores in not special education is 106.60 with a standard deviation of 11.62 while that for special education is 106.70 with a standard deviation of 12.74. The mean difference is not statistically different at 95% level of significance and p = .986. This shows that, special education and not special education have got almost the same score level.d. Figure 2 From the box plot;It is evident there are no outliers;The mean for not special education is higher than that for special education;Both means are above 100;The mean difference is not significant.

This tells that, the two approaches are not that different and both can be adopted since the outcome (scores) are the same.Number 3 a.The total Scores BOTHMeanNStd. DeviationRecently traumatized32.15010025.8705Not traumatized recently31.80010024.7276Total31.97520024.6312The mean score for the recently traumatized is 32.15 with a standard deviation of 25.87. The not recently traumatized had a smaller mean of 31.80 with a standard deviation of 24.72. The mean is the best measure of central tendency used to determine the data distribution.

The standard deviation on the other hand is the best in showing the data spread.b.Individuals recently experienced Trauma NValid10 Missing10Percentiles101.30 204.20 254.75 305.30 509.00 7515.25The percentiles are the best used in the case of determining the 20% of the participants who should be taken for free sampling.

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