Psy 315 Final

Problem 3-4: Determining S was easy, however displaying it in a Venn diagram proved elusive. Eventual I went with the simplest solution which was a U box and over lapping A and B circles with everything in B and not in A shaded. Pretty sure this was the correct

1. Use the graph below to predict what the results will look like if the null hypothesis is

Yetish et al. (2015) argued that recreating aspects of the environments observed in preindustrial societies might have beneficial effects on sleep and insomnia in industrial societies. In fact, individuals in three preindustrial societies do not sleep more than individuals in industrial societies, but their physical and physiological well-being are significantly better than the latter. Based on the examination of sleep duration, timing, and other aspects such as light exposure and seasonal change, the authors believed that preindustrial individuals adjust their sleep models based on the variations of the natural environment, can be one reason for their robust healthy status compares to individuals in industrial societies.

Part 1 – Complete the following chart using information from the lesson. Print the chart.

11. For each of the following, indicate whether you would use a pie, line, or bar chart, and why.

It’s no secret that we all have sex. Every person grows up as an individual, learning things about themselves as they go along, as well as learning about others. We all eventually end up calling someone else our significant other, whether it be of the same sex or not, and we all end up making personal decisions about our sexual identity and actions as we progress through life. We define our sexual identities of something unique to only us and we acquire our identities with a mix of influences: biological, psychological, social, cultures, values, and society in the time in which we are growing up. After such influences, we make the choice when to lose our

A correlation research determines whether or not at least two variables are correlated. An example scenario, when it would be advantageous for researchers to use correlation research design, is to examine if there is any correlation exists between family income and SAT scores. The researcher describes the relationship between these two variables by checking whether an increase or decrease in family income corresponds to an increase or decrease in the SAT scores. A positive correlation exists between family income and SAT scores when family income increases lead to an increase in the SAT scores and a decrease in family income leads to a decrease in the SAT scores. A negative correlation exists when an increase in family income leads to a decrease

There were two methods used in this exercise, including plot measurement and point sampling. Each followed the following procedure:

A correlation between two variables can arise because both variables are related to some third variable that, to some degree, effects the two variables. In other words, a third variable may be the cause of the correlation between the two variables. In order for one to accurately establish a cause, any possible explanation would have to be ruled out. The only effective way to establish causality between variables is to conduct a true experiment. A true experiment is when a comparable sample or population is split into two, where both groups will receive different treatments such as having a group manipulated and the other controlled. Nevertheless, both groups will have their outcomes assessed. After the collection of data from the assessment is complete, then it should get organized in a table. However, the amount may be too overwhelming to draw a conclusion, so this is where a scatter plot will be useful. A scatterplot is a graph that is used to plot the data points for two variables and more importantly, provide a visual representation of the

Scatter diagram purpose is to show how much one variable is affected by another. These charts will be used to gather the data; determine the high and low values for each factor. Decide which factor will be plotted on which axis. Theorizing a cause and effect relationship put the suspected cause on the horizontal axis and the alleged effect on the vertical axis. Draw and label the axes clearly. Make the axes roughly the same length, creating a square plotting area. Label each axis with increasing values from left to right, and from bottom to top. Label each axis to match the full range of values for that factor. In other words, make the lowest numerical label slightly less than the lowest data value, and the highest name slightly greater than the highest value. The data should fill the whole plotting

Evolutionary theories often emphasize that humans have adapted to their physical environment. One such theory hypothesizes that people should spontaneously follow a 24-hour cycle of sleeping and waking—even if they are not exposed to the usual pattern of sunlight. To test this notion, eight paid volunteers were placed (individually)b in a room in which there was no light from the outside and no clocks or other indications of time. They could turn the lights no and off as they wished. After a month in the room, each individual tended to develop a steady cycle. Their cycle at the end of the study was as follows: 25, 27, 25, 23, 24, 25, 26, and 25.

Step 10: Draw a scatter plot of T2 on the Y-axis against L on the X-axis.

Pose an appropriate relationship question that can be answered using variables in the data set. The variables you choose must be numerical, and the variable you use as your response variable must be continuous. You may choose to investigate more than one pair of variables. Select appropriate display(s) to graph your data.

When conducting a correlation, be sure to look at your data, including scatterplots, to make sure assumptions are met (for correlation, outliers can be a concern).

The code below was used to perform the correlation analysis of the data set given under ‘data’ and the variable set to be considered is given in ‘var’ (variable list available in Appendix 3). The output will be written to the file specified under ‘out’ attribute.