Statistics Essay Example: Frequency Analysis of the Variables

Frequency analysis of the variables

According to the results in Table 1, the total respondents on the variable Abpoor were 42, 601 out of which, the respondents who preferred Abpoor were 19, 871 (46.6%) while 22,730 (53.4%) were on the contrary opinion. This means that 46.6% given opportunity would support Abpoor unlike 53.4%. The mean response on this variable was 1.53 with a standard deviation of 0.50 as indicated in the summary statistics. The same statistics is summarized in Figure 1.

Table 1: Frequency analysis of Abpoor

Figure 1: Frequency analysis of Abpoor

On the level of income, the figure 2 indicates that majority of the respondents at 55.5% earn between $25000 or more followed by 10.7% of the respondents who earn between $10000-$14999. Additionally, 9.2% of the respondents earn between $20000-24999. Furthermore, 8.8% of the same population earn between $15000-19999. For to note, those who earn between $8000-9999 account for 3.5% only. Unfortunately, 12.4% of the respondents earn less than $7999. In addition, the mean response on the level of income is 10.31 with a standard deviation of 2.66. According the results in the summary statistics, it indicates that both the median and the mode is the same at 12.

Table 2: Income level

Figure 2: Income Level

Moreover, the results in Table 3 indicate the marital status of the respondents. From the analysis, the results shows that majority of the respondents at 60.5% are married. This is followed by 21.1% of the respondents who have never got married. Furthermore, 9.4% of the respondents were divorced as shown in Table 3. On the other hand, 6.4% and 2.6% of the respondents are widowed and separated respectively. The mean of marital status is at 2.71 with a standard deviation of 1.63.

Table 3: Marital Status

Figure 3: Marital Status

On age, it ranges from 18-89 as shown in the summary statistics below. According to the findings on age, majority of the respondents at 31.6% are aged between 18-33 years. This was followed by 30.7% of the respondents whose age is between 64-78 years old. In addition, 23.0% of the respondents are aged between 49-63 years old. Moreover, 11.4% of the respondents are aged between 34-48 years old while 3.3% of the respondents are aged between 79-93 years. From the findings in the Figure 4, it indicates that majority of the respondents are youth. The findings in the summary statistics also indicate that the mean age is 44.64 with a standard deviation of 17.04. From this data set on the variable of age, it shows that the data is normally distributed.

Figure 4: Age

Cross tabulation results

According to the results in Figure 5, it indicates that out of 46.6% of the respondents who agreed on Abpoor, 47.9% were males while 45.6% were females. Similarly, out of 53.4% who did not confirmed the presence of Abpoor, 54.4% were females with 52.1% being males. On the same note, with a p<0.005 indicates that there is a statistical significant association between gender and Abpoor preferences. This means that male participants are more likely to accept the presence of Abpoor unlike to their female counterparts. In other words, there is a statistical significant association between gender and Abpoor preferences.

Figure 5: Cross Tabulation on gender and Abpoor

Finally, in order to test association between marital status and Abpoor preferences, a p<0.005 was obtained indicating that there is a statistical significant association between marital status and Abpoor preferences. This implies that marital status influence acceptance of the presence of Abpoor.

Figure 6: Cross Tabulation between marital status and Abpoor