This assignment involves identifying independent and dependent variables in a dataset, performing a relevant hypothesis test, analyzing the underlying distribution, and descriptive statistics. The dataset pertains to the time taken to read the color of congruent and incongruent word lists.
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STATISTICS AND EMPIRICAL METHODS STUDENT ID: [Pick the date]
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Introduction The objective of this task is to analyse the situation presented and identify the dependent and independent variables. Further, a relevant hypothesis test needs to be identified and justified. Besides, based on the data provided, the underlying distribution needs to be analysed. Also, the descriptive statistics pertaining to the dataset provided also needs analysis. Finally, the hypothesis test needs to performed on the provided dataset to investigate whether the result meets the common expectations. Question 1 For the given project, the independent variable would be the type of words in the list which could either be congruent or incongruent. Congruent words would refer to those words which are the same as the underlying colour they represent. Incongruent words refer to those words which are different from the underlying colour they represent. The time taken to read the colour of the list would be the dependent variable. This is because the amount of time taken would depend on whether the word list is comprises of congruent words or incongruent words as the latter would be expected to take a higher duration of time. Question 2 An appropriate set of hypotheses for the given task is indicated as follows. Null Hypothesis (H0): μcongruent= μincongruentwhich implies that there is no significant difference between the average time taken to identify the colour of congruent words list and incongruent words list. Alternative Hypothesis (H1): μcongruent< μincongruentwhich implies that the average time taken to identify the colour of congruent words list is significantly lesser in comparison to the corresponding time to identify colour of incongruent words list. A suitable hypothesis test ought to be performed in order to estimate if the null hypothesis would be rejected or not. The relevant test that would be applied is two independent sample t test. T test is preferred instead of Z test as the underlying population deviation for the two variables is unknown. Further, there are two samples and also the time takes in either case would be independent of each other. Also, considering the alternative hypothesis, the given test would be a one tail test and more precisely a left tail test. 2 ASSINGNEMENT NAME: STUDENT NAME:
Question 3 Some of the descriptive characteristics related to the sample dataset are indicated below. Based on the above, it is apparent that there is significant difference in the mean time to identify colours in lists with congruent and incongruent words. Further, the median time with regards to list of congruent words is14.357 which impliesthat 50% of the sample participantstake this time or lesser time to identify colours in congruent words list. Additionally, the three measures of dispersion for the given data are standard deviation, sample variance and range. It is apparent that the dispersion is significantly higher with regards to incongruent words list reading time in comparison to congruent words list reading time. However, variation in reading time for the two lists is low to moderate only. Question 4 The distribution of the given sample data can be analysed using the histogram of the two samples provided. 3 ASSINGNEMENT NAME: STUDENT NAME:
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It is apparent that the above histogram does not have a symmetric shape as the tail on the right of the mean is significantly larger than the corresponding tail on the left. This implies that positive skew is present. For the distribution to be normal, it is imperative that the skew should not be present in the data and must be zero. The presence of skew in the above data (congruent words reading time) implies that this is not normally distributed. It is apparent that the above histogram does not have a symmetric shape as the tail on the right of the mean is significantly larger than the corresponding tail on the left. This implies that positive skew is present. For the distribution to be normal, it is imperative that the skew should not be present in the data and must be zero. The presence of skew in the above data (incongruent words reading time) implies that this is not normally distributed. Question 5 The relevant hypotheses are listed below. Null Hypothesis (H0): μcongruent= μincongruentwhich implies that there is no significant difference between the average time taken to identify the colour of congruent words list and incongruent words list. Alternative Hypothesis (H1): μcongruent< μincongruentwhich implies that the average time taken to identify the colour of congruent words list is significantly lesser in comparison to the corresponding time to identify colour of incongruent words list. 4 ASSINGNEMENT NAME: STUDENT NAME:
The significance level has been assumed as 5%. A suitable hypothesis test ought to be performed in order to estimate if the null hypothesis would be rejected or not. The relevant test that would be applied is two independent sample t test. T test is preferred instead of Z test as the underlying population deviation for the two variables is unknown. The relevant output from excel is indicated below. The critical value would be -1.679 while the t stat is -6.532. Since the t stat is lower than the critical value, hence the available evidence is sufficient to cause null hypothesis rejection and alternative hypothesis acceptance. Hence, it can be concluded that average time to identify the colour of congruent words list is lesser than the corresponding average time for incongruent words list. The results have clearly matched with my expectations. 5 ASSINGNEMENT NAME: STUDENT NAME: