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Descriptive Statistics

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Question 1: Calculate the distribution of the data in the excel file.

Answer: The Descriptive Statistics is given below

 Descriptives Statistic Std. Error Mean 2.5919 .15630 95% Confidence Interval for Mean Lower Bound 2.2778 Upper Bound 2.9060 5% Trimmed Mean 2.5934 Median 2.5962 Variance 1.221 Std. Deviation 1.10519 Minimum -.10 Maximum 5.13 Range 5.23 Interquartile Range 1.64 Skewness .018 .337 Kurtosis -.406 .662

 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df Sig. .059 50 .200* .986 50 .830

This is a lower bound of the true significance.

a. Lilliefors Significance Correction

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The mean for the sample of 50 observations is 2.592 ± 1.105 (mean ± std dev) and the median value for the sample of 50 observations is 2.596. The median represents the middle value of the dataset and the median value is calculated after arranging the data either in ascending order or descending order of magnitude. The median of 2.596 indicates that about 50% of the sample observation values falls below 2.596 and 50% of the sample observation values fall above 2.596. The minimum and maximum recorded values are - 0.10 and 5.13 respectively. Here, we see that the mean and median value coincides approximately, indicating that the distribution of sample of 50 observations follow normal distribution approximately

Going through the box plot, we see that the median line (middle line in the box) exactly divides the box into two halves, indicating that the distribution of the sample of 50 observations follow normal distribution

Question 2: The two provided tables below, are the results of a questionnaire-based survey that is repeated twice. The questioner has three questions and total number of respondents are 41. To test questionnaire reliability the survey is repeated twice. Table 1 and 2 indicate the answers of 41 respondents to the questionnaire in two different times. Is the questionnaire reliable?

Answer: The correlation table is given below

 Correlations SurveyA.Q1 SurveyA.Q2 SurveyA.Q3 SurveyB.Q1 SurveyB.Q2 SurveyB.Q3 SurveyA.Q1 Pearson Correlation 1 .851** .859** .848** .799** .860** Sig. (2-tailed) .000 .000 .000 .000 .000 N 41 41 41 41 41 41 SurveyA.Q2 Pearson Correlation .851** 1 .856** .816** .914** .884** Sig. (2-tailed) .000 .000 .000 .000 .000 N 41 41 41 41 41 41 SurveyA.Q3 Pearson Correlation .859** .856** 1 .882** .869** .944** Sig. (2-tailed) .000 .000 .000 .000 .000 N 41 41 41 41 41 41 SurveyB.Q1 Pearson Correlation .848** .816** .882** 1 .771** .889** Sig. (2-tailed) .000 .000 .000 .000 .000 N 41 41 41 41 41 41 SurveyB.Q2 Pearson Correlation .799** .914** .869** .771** 1 .903** Sig. (2-tailed) .000 .000 .000 .000 .000 N 41 41 41 41 41 41 SurveyB.Q3 Pearson Correlation .860** .884** .944** .889** .903** 1 Sig. (2-tailed) .000 .000 .000 .000 .000 N 41 41 41 41 41 41

Correlation is significant at the 0.01 level (2-tailed).

On looking into the correlation table, if we found that the Pearson Correlation coefficient falls above 0.7 and below 0.8, then, we can say that the reliability is of acceptable reliability. On the other hand, if the Pearson Correlation coefficient falls above 0.8 and below 0.9, then, we can say that the reliability is of good reliability.

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