Statistics assignment Example | Topics and Well Written Essays - 3000 words

Statistics - Assignment Example Further, the study revealed that there is a strong effect of gender on individual work status. Effect of Gender, Work Status and Age on Hours Worked per Week Individual’s ability to perform different type of work depends on many factors such as age, gender, environments conditions, etc. Furthermore, certain type of work is performed specifically by specific gender. This report will analyze effect of gender, age and work status on number of hours worked per week in job. In addition, this report will analyse whether work status differ by gender. The research questions identified are 1) Is there a difference in numbers of hours a week work in job between male and female respondents? 2) Is there a difference in numbers of hours a week work in job based on work status of respondents? 3) Is there a relationship between gender and work status of respondents? 4) Is there a relationship between numbers of hours a week work in job and age of respondents? To analyse above research questi ons, the 2006 Northern Ireland Life & Time Survey data will be used (ARK). Method Participants Participants were 1,230 respondents (40.6% male, 59.4% female) who had taken part in the 2006 Northern Ireland Life & Time Survey (NILT). ... All the data were collected via a self-completion questionnaire given to each respondent. Results Descriptive Statistics Majority (59.4%) of the respondents were female (figure 1). More than half (56.8%) of the respondents were with British nationality (figure 2). About 31.7% of the respondents were with Irish nationality. The respondents with marital status single (never married) and married were about 28.9% and 44.6%, respectively (figure 3). About one-fourth (26.5%) of the respondents were with marital status living as married, separated, divorced and widowed. About three-fourth (70.1%) of the respondents were with employee work status (figure 4). The respondents with work status supervisor or foreperson, self-employed and manager were 6.9%, 10.2% and 12.9%, respectively. Figure 1: Distribution of respondent’s gender Figure 2: Distribution of respondent’s nationality Figure 3: Distribution of respondent’s marital status Figure 4: Distribution of respondentâ₠¬â„¢s work status Table 1 shows the summary statistics for age and hours worked per week of respondents. Table 1: Summary statistics for age and hours worked per week Age Hours worked per week N 1230 551 Mean 48.75 35.32 Median 47.00 37.00 Mode 40 40 Std. Deviation 18.14 13.64 Range 76 99 Quartile 1 35.00 26.00 Quartile 3 63.00 40.00 Inter-Quartile Range 28.00 14.00 The average age of the respondents was about 48.75 years (SD = 18.14). About half of the respondent’s age was greater than 47 years. Most of the respondent’s age was 40 years. About middle-half of respondent’s age was in the range 28 years (Q1 = 35, Q3 = 63). The range of the respondent’s age was 76 years. The distribution of respondent’s age was approximately normally distributed