1 - Produce the relevant descriptive graph and table to summarise the MODE variable (labelled Control: Completes by phone/mail/web). The MODE variable summarises the different ways that each institution completed the survey. Write a paragraph explaining the key features of the data observed through the output.
The distribution of the surveyance mode which was conducted for a sample of 2000. The mode is displayed in the above chart. The most common primary mode was the web (53.9%) it was above the average. The second and third in common was the Mail and the Phone – Full mode at 24% and 16.3% respectively, very few people uses the Phone – Short method (5.9%)
2 - Produce the relevant descriptive graph and table to
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A Binominal test shows that the difference is significant, n = 2000, p < 0.001. The 95% confidence interval indicates that between 6% and 8% of all institutions are affiliated to a religious organisation.
There is sufficient evidence to conclude that more than 5% of all institutions are affiliated to a religious organisation
4 – Previous research has suggested that the average number of female outpatients in these institutions is about 200. Use a one-sample t-test on the OPSEXTOTF variable (labelled QB5b_num_fem. Female outpatients – Total) to test whether the average number of female outpatients is different from 200. Provide the relevant output and write the report for your test in the style presented in the course materials.
Previous research has suggested that the average number of female outpatients in these institution is about 200
In a sample of 2000 institutions, the average number of female outpatients was 200.39. (s = 304.59). This is almost the same as the mean. A one sample t-test shows that this difference in mean is not significant, t(1999) = 0.057, p = 0.955. The 95% confidence interval indicates that the average female outpatients different from 200 is between 13.74 and 12.97 lesser.
There is insufficient evidence to conclude that the average number of outpatient is
Topics Distribution of the sample mean. Central Limit Theorem. Confidence intervals for a population mean. Confidence intervals for a population proportion. Sample size for a given confidence level and margin of error (proportions). Poll articles. Hypotheses tests for a mean, and differences in means (independent and paired samples). Sample size and power of a test. Type I and Type II errors. You will be given a table of normal probabilities. You may wish to be familiar with the follow formulae and their application.
t = −3.15 describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer.
According to a survey conducted by the Pew Research Center as part of a broader Religious Landscape Study, 78 percent of people who do not identify with any religious group were raised in a faith system and then left as adults. Further, about half of those people said that a lack of belief caused them to leave their faith, citing, among other things, "science" and "lack of evidence" as reasons for this skepticism.
6) Prepare the survey for analysis. Set up the code sheet for this study. How will this study be set up to be tabulated by a statistical analysis program like SPSS?
29% said they came from an unspecified Christian family, 27% said Catholic, 26% were Protestant, 9% said none and a small 6% said they were atheists and their parents were atheists. They asked when they decided to stop their belief and 13% said they never believed, 29% said they did when they were less than fifteen-years-old, 37% said they decided to become atheist between the ages of 15 and 24 and 21% said they did past the age of 25. Finally they asked why they did become atheist. Almost half, 47%, said that it didn’t make logical sense to them, 12% said that it didn’t comply with conventional science, 9% said it was because of a negative experience when they were young, 15% said it was because of the hypocrisy of religion and the church, 3% said that God didn’t meet an expectation they had, and a surprising 6% said they couldn’t remember. Finally 21% gave very specific reasons why, saying that college opened their eyes or that there was a person in the sky watching them but also how patriarchal the church is and its obsession with obedience and punishment. This shows a trend in why most left religion. One is that it didn’t make sense nor does it work with science, or they did liked how the church felt or worked which pushed them away to soon become atheists.
To view the research on a nominal scale, the research data can be drawn from the type of class. The word nominal is derived from the root word in Latin for name (Usable Stats, 2013). The name of the class, Psychological Statistics, is the nominal measurement for this research. When conducting this study, the study will only be measured during the course of this specific class. The results could drastically change when considering another type of class such as Quantitative Literacy as the cognitive understanding of such a collegic math class may be more optimal through a different course-delivery format.
The null hypothesis was that the female and male shoe sizes have an equal mean while the alternative hypothesis was that female and male shoe sizes do not have an equal mean. With the degrees of freedom being 33, the t-statistic is -8.27. The probability that -8.27 is ≤-1.69 is 7.5×10-10 for the one-tailed test. Also, the probability that -8.27 is ≤ ±2.03. is 1.5×10-9 for the two-tailed test. Due to both probabilities being under the alpha value of 0.05, the null hypothesis is rejected, and the alternative hypothesis is accepted at the 95% confidence level.
The practice of organized religion has been declining greatly since the mid 20th century, but the pace in which religion is dying is not constant in every western country. Ireland is the only country where most people attend a religious event weekly, on the other hand, less than ten percent of Scandinavians attend religious events. Organized religion is dying where it once was common in everyday life, which is bad news for church leaders who want to fill their seats. From 1945 to 1985 the percent of regular church attendees in Canada dropped in half, from 70% to 35%. Although people have stopped associating themselves with a religion, many of them still believe in a creator. Around 32 percent of America’s population attends church weekly, but 66 percent of Americans have no doubt that there is a God, and another 16 percent believe in a God but have doubts (Altemeyer 79). There is evidence that the recent rise of religious apostasy occurred because of backlash against the “Religious Right”, the christian fundamentalists that are known to be anti-homosexual. Many people are turned off by these beliefs and severed their already weak relationships with the church. Children are also not being taught religious beliefs because of parents who have left the faith. Parents have stopped
While the majority of Americans (almost 80%) identify themselves as Christians, religion in the United States is characterized by both a large diversity of believers and variable attendance and adherence levels (Eck, 2002). However, an August 2010 poll showed that almost 70% of Americans believed that religion was losing influence in everyday life, yet most feel that is a negative thing even though politicians continue to discuss religion while campaigning (Religion Losing, 2012). In light of these statistics, many religious scholars have turned to more quantitative methods to establish ways to both improve service attendance, solidify the financial health of churches, and establish a faith-based understanding of current psychographic trends. One of the predominant ways this is happening is through people like George Barna.
The results of main affects for assigned clients in the control group: gender (F(1,1.935) = 0.015, p = .907, η2 = .051), age
Eighteen options were offered as choices for this question, excluding the categories of atheist and agnostic. The responses to each category have not been captured in the survey results, owing to certain privacy concerns. However, the percentage of none as a choice was calculated from the annual survey results. Moreover, the sample for this question excluded the Californians after 1997.
For this independent t test, the mean GPAs of 64 females and 41 males were compared. The variables used are (1) gender, and (2) GPA. The predictor, or independent, variable is gender. And the outcome variable is GPA. Gender can only have two values, male or female; this
Religious faith is important to most Americans, with approximately 95% of Americans reporting belief in God and about 50% being active in church organizations (Gallup & Castelli, 1989). Despite the widespread prevalence of religious beliefs in society, some researchers have maintained that religion and religious beliefs are often neglected in psychological research (Jones, 1994; Plante, 1996). This neglect stems from a couple of different factors. First, it is difficult for psychologists to overcome the fact that believers in many religions claim to have unique access to the truth. Secondly, truly theological questions such as the existence of God or the nature of an afterlife are often ignored by scientists. This may be in part a
According to the U.S. Census Bureau, in 2009, over 228 million Americans classified themselves as practicing some type of religion. Due to
The survey was distributed by email, text, paper format, and mobile applications, and data was collected by researches in the same way.