1. Research Findings and Discussion The minimum target for the response rate was 50, during the time that the survey was open it managed to collect 60 full responses. This means that 120% of the minimum target was achieved. With all responses completing the 55 mandatory questions and 12 responding to the optional final qualitative question, the survey generated 3312 bits of data that could be used to analyse potential customer perceptions. There were a total of 60 attempts at responding to the survey and all of these were completed, representing a completed response rate of 100%. This suggests that the survey design was accessible to those who responded the survey and that the length of the survey was not a factor that contributed to …show more content…
We can then draw conclusions on how representative the sample is of the wider population of potential customers in the UK. Figure 5 - Gender of Sample Gender is split relatively evenly with a male proportion of 53.3% slightly greater than a female 46.7%, Figure 5. This compares to the gender split of the UK population from the 2011 General Census, identifying that 50.89% and 49.11% of the population identified as female and male respectively (ONS.gov.uk, 2012). The sample is not exact, but with less than a 5% deviance is relatively accurate representation of the total potential population. Figure 6 - Age Distribution of Sample The age bands of the respondents can be seen graphically in Figure6 – Age Distribution of Respondents. From this we can see that there is a distribution of age respondents, with most age bands providing a response to the survey. This should help to ensure that the responses provided are from a cross section of the total population, helping to make the any results more representative. There is a bias towards those aged between 18 and 34, with these bands accounting for 70% of all survey responses. This can be attributed to two factors, the use of convenience sampling as a technique, as this age band reflects the age of the researcher. The use of a web-based platform and distribution through digital channels may also have favoured these age bands. Figure 7 - Occupation
Please check your numbers again, some of them seem incorrect. For example, how is that possible the subset has a more extended age range than the total sample?
All 100 subjects answered this question pertaining to their age. The following table shows the descriptive statistics of this question:
Starting to look at individuals of note since going over everyone would take me all year. But first, the genders and my guess of age before I start with the individuals. Starting from the top left corner: male 70, female 30, male 25, male 40, male 50, male 60, female 50, female and another 50, Male 35, male 30, male 27, male 26, male 70, male 40, male 30. Now restarting at the bottom left corner: male 26, male 30, male 35, female 30, male 29, male 30, male 55, male 25, and male 35. As I stand here looking at this data, the vast majority are male and most look under 50 to me. The woman I chose as my focal point is in bright clothing with blonde, short hair and black sunglasses. The man next to her has a black overcoat with a beard that makes his mouth looks to be nonexistent. The man with the bright suit and the mustache two people away from the focal points reminds me the most of the 80's and my father's old mustache.
The respondents of the survey and questionnaires had to live in an eligible household – however Mays and Cochran never specified what the requirements of an eligible household was – and be between the ages of 25 to 74 years old. First, the respondents were contacted through a randomly dialed telephone sampling to answer the survey questions. Then the respondents were mailed a questionnaire that to fill out and return. Mays and Cochran oversampled certain groups, such as men and the elderly, to increase representation since the groups mentioned prior were difficult to reach. Mays and Cochran never mention the size of their sample. They do mention the demographics that the collected during the research, which were: age, education
I strongly agree with all of the statements that I stated above. If the surveys had only been composed of those questions, the results have been the same to me. Honestly I don't know why but these statement seems like common sense to me to strongly
The strength of questionnaires is it can give an insight into respondent’s thoughts and opinions and also cost efficient as it is inexpensive.
Also before they took the poll they made sure they had people of certain age groups. After the poll was completed the separated the people into different groups and then different subgroups. Overall 25% of the were in favor of the lowering of the age and 74% opposed.
The age group that was chosen is the adults of Chicago aged 30-64. Data about this group can be found from the US Census Bureau, for the 2010 Census.
I am doing my movie review over “Inception” which we recently watched in Senior Comp. My three criteria’s are suspense, action, and good actors. I believe these three criteria’s are important in making a movie good because they keep the audience into the movie and the more people want to watch the movie, the more reviews it gets, it will grow on the Box Office.
Gothic literature has been popular since the 19th century and has given readers the opportunity to look at romantic movement that focuses on a darker horror like imagination. Some of these involve a combination of extreme landscapes, icy wastes, and extreme weather, horrifying events or the threat of such happenings, as well as supernatural manifestations, and presenting evil. Gothic literature gives us a way of looking more depth into a hero whose identity is identified at the end of a novel (Mullan). Some novels that have given us a chance to look more in depth with gothic literature just like Frankenstein. These novels include Horace Walpole’s Otranto
Figure 4, represent the comparison of ages between gender, those who participated in the adult full-time workforce survey. To find out the comparison of gender and age I decided to break out the ages between four categories so that I could easily find out that what ages of people respondents much in the survey and shares their confidence and satisfaction in their working place. However, the four categories are young (18-26), Adult (27-40), Middle aged (41-55), and Old (56- up). There were more females (119) than males (81) participated in this adult survey. By comparing, Age of Gender in this frequency polygon shows that in this survey starting from the young aged there were adult and middle aged people respondent more than other two categories
The participants of clearly the individuals from three separate cohorts, however the researchers do no specify if all individuals in each of the three cohorts are sampled or if only a portion of them participated in the research. This is an important issue that needs to be addressed by the researchers, although the number and sex of participants from each cohort is reported, the differences in sampling selections could present a significant difference in the conclusions obtained from the research data.
There was an array of age groups, genders and religious attitudes amongst the 18 people surveyed. The quantity surveyed was too insignificant
This ‘random sampling error’ indicated that there was no cross section of the target group (generation Y) and in turn was a sample selection error. There were 3 respondents whose results were not analyzed, as they did not fall into the target group of generation Y and this was an administrative error. This is another common research problem is survey non-response. Marketers can unintentionally design surveys which many customers choose not to respond to.
My family and I don’t have any financial burdens or special situations. We’re just the typical American family who has their occasional ups and downs. These ‘ups and downs’ start with my dad’s line of business. My dad works in the oil field and, as we all know, it really has its downsides. The company he works for recently laid off a large amount of its workers, luckily my dad wasn’t one of them. The oil business is really unstable, and that has a direct effect on our financial standings. When oil is up we’re up and when it’s low we are really low, and sometimes struggle on living paycheck to paycheck. My dad is also gone a lot because, he has to travel all over the US to lay new lines or fix leaks. While he is gone my mom and I are all on our own.