The Minimum Target For The Response Rate

There was an array of age groups, genders and religious attitudes amongst the 18 people surveyed. The quantity surveyed was too insignificant

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

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?

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 survey form was designed with 10 questionnaires about personality, each question is scale from 1 to 7 . Firstly, I answered the questionnaires for myself, then gave out survey forms to 5 co-workers and 5 friends.

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 age of the subjects is skewed to the right. This suggests that there may be a student(s) with an extreme old age in comparison to the represented subject pool. This is graphically illustrated in the following box-and-whisker plot.

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.

Even though the population surveyed is less than one hundred I believe the data presented gives great insight on the questioned asked. In statistical literacy, probability as well as mean, median, mode and more are discussed. With probability we learn how to make predictions that are pretty spot on. "Probability is defined as the likelihood that a particular outcome or event will occur," as shown in A Particular Introduction to Statistics. So now lets take a look at the data using some statistical analysis concepts. First, lets determine the probability of receiving a correct answer or receiving a wrong answer. The possible outcomes is either a correct answer or a wrong answer. Therefore, the probability equals 1 (CA) over the total of possible outcomes which is 2 (CA and WA) and 1 (WA) over 2 ( CA and WA). Both answers give us 1/2 and since they are the only possibilities they equal 1. In identifying the middle or average of the set of data is known as central tendency. These measures include, mean, median, and mode. Central Tendencies can be used in this research to see what the average number of correct responses between the groups. First we put the data set in order form smallest to greatest. Than we divided by the total number of data sets. Which gives a mean value of 7. This shows that the average number of correct responses among age groups is

Majority of the people are females. The males have a percentage of 36.4%. There was 63.6%, who is a female. It was a total of 80 people who mark an answer and only 3 was missing if he or she was a female or male.

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.

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.

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 strength of questionnaires is it can give an insight into respondent’s thoughts and opinions and also cost efficient as it is inexpensive.

Survey bias is the next potential survey research problem that can be likely to occur. In survey sampling, bias refers to the tendency of a sample statistic to systematically over or under estimate a population parameter. At the time of the survey, we are to assume that the chosen sample is the representation of the ‘Gen Y’ population and that information provided by the respondents is both accurate and honest. It appears that there was a response bias due to the unconscious misrepresentation and misplacement of the ‘Pepsi’ logo at the top of the survey. This was inadvertent but may have led to a response bias where the respondents appeared to have been influenced by an auspices bias – a bias in the responses of subjects caused by their being influenced by the organization conducting the study (Zikmond et all, 2011).