Information/Measurement My information is based on Age and Gender. Most of my mathematical data will use (years) as its units. However for standard deviation and the Chi-Squared test the expected values will be reduced to 3 significant figures. As for the P-values and the Critical values will be given in exact numbers. Mathematical Process As described in my introduction, I have found the mean, median, mode, and range of both genders. I got this data table from (http://www.infoplease.com/ipa/A0005061.html). This link leads to a table from the U.S Bureau of the Census. The table is displaying the median age at first marriage between the years of 1890-2010. The median of both genders were found in the 14th spot in the data table.The mode was observed in both genders. Also observed was that the most occurring ages for both male and female happened in the same 10 year time span. The process of finding the mean was shown below. Table 1: Raw Data collected from http://www.infoplease.com/ipa/A0005061.html Year Males Females 1890 26.1 22.0 1900 25.9 21.9 1910 25.1 21.6 1920 24.6 21.2 1930 24.3 21.3 1940 24.3 21.5 1950 22.8 20.3 1960 22.8 20.3 1970 23.2 20.8 1980 24.7 22.0 1990 26.1 23.9 1993 26.5 24.5 1994 26.7 24.5 1995 26.9 24.5 1996 27.1 24.8 1997 26.8 25.0 1998 26.7 25.0 1999 26.9 25.1 2000 26.8 25.1 2001 26.9 25.1 2002 26.9 25.3 2003 27.1 25.3 2005 27.0 25.5 2006 27.5 25.9 2007 27.71 26.0 2008 27.6 25.9 2009 28.1 25.9 2010 28.2 26.1 Data Table 2:
2. Based on the scale of measurement for each variable listed below, which measure of central tendency is most appropriate for describing the data?
While brainstorming for examples of normative age-graded, normative history-graded and nonnormative examples; I found it easier to pick out the normative age-graded and normative history-graded examples versus the nonnormative examples. I feel thankful and lucky to say this because that means I was not abused, lost my parents at a young age or anything too memorable. In fact, my nonnormative examples stray from the norm of being negative and actually are some of the most positive pieces to my life.
The quantitative subjective data is collated and organised into forms of a line graph, table values, and the calculation of mean and median data to determine if there’s any form of deviation of data. This will prove if there’s a linear or non-linear relationship between the data and test if there’s any similarities between the data values and/or the overall skew of the graphs. The outliers will be also added onto these graphs and will be compared towards each other recognising if there is a similarity or contrast in data and in relationships between both of the data. This will determine if the hypothesis of “family size has an
5. Give the standard deviation for the mean and median column. Compare these and be sure to identify which has the least variability?
2. Compute the means for the following set of scores saved as Ch. 2 Data Set 3 using IBM® SPSS® software. Print out a copy of the output. (Please refer to attachment)
5. Give the standard deviation for the mean and median column. Compare these and be sure to identify which has the least variability?
2. Sort the data by Gen or Gen 1 (into males and females) and find the mean and standard deviation for each gender for the following variables: Use the descriptive stats function for one gender and the Fx functions (average and stdev) for the other.
2. Based on the scale of measurement for each variable listed below, which measure of central tendency is most appropriate for describing the data?
For the education data, I must say to calculate the median, from high school to college graduate, the median would be the some college portion since it would be the middle. The median for the experimental group would be 11 and 34.4% and for the control group it would be 15 and 41.7%.
5. The standard deviations of the groups are different between these two data sets. This implies that both girls and the boys groups have a large variability in their data. The reason is that the standard deviation for boys is 5.9 and the standard deviation for girls is 5.0. This means the data has a wide range of data within the mean.
1. By hand (without using SPSS), compute the mean, median, and mode for the following set of 40 reading scores:
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.
Today, I am here to tell about my results in the real age assignment. The real age assignment is a questionnaire that asks questions about health, feelings, diet, and fitness. This real age assignment also gives results that will help people get more fit and healthy. I am nineteen years old. After taking the real age assignment, I learned that it reported that my age was 19.7 years old. It also showed me that I am doing a fair job with my body when it comes to my health, feelings, diet, and fitness. The reason it told me that I was doing a fair job was because I exercise daily and work out every day; also I have a balance diet of fruit, vegetables, meat, bread, and dairy.
Determining the mean and the median of the checking accounts for Century National Bank, we are trying to find the single value that will represent all 60 checking accounts in our sample. That single value will be measure of central tendency.
The data analysis focused mainly on the number of hours each participant in the study spent a week on Pinterest. From that data we were able to calculate the mean, median, mode, range, and standard deviation for both males and females, as shown in Table 1 in Appendix B below. The mean shows the average amount of hours for each gender that was spent on