Purpose: Analyze and compare sugar content of popular cereals with the same serving size. Cereal is a staple in my home, but chosen for different reasons. Cereals that are popular with kids are starting to advertise more fiber and grains, which capture a parent’s eye. Is eating a blander colored cereal really more healthy than a vibrant colored one?

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For this project, I compared the sugar content of equal serving sizes of 10 various breakfast cereals. Since serving sizes varied from brand to brand, the results were computed based on a serving size equal to 50 grams. The sugar content per 50 gram serving size was computed by using the following formula: 50 grams = Serving size to be compared
(50 x Sugar per serving) / Serving Size
Example: (50 * 1) / 30 = 1.67g of sugar per 50.00g serving
A histogram was created using a bar chart to display the sugar content per 50 gram serving size of the various cereals. The raw data (sugar content and serving size) was obtained from the nutritional content label located on the side of each box of cereal.
Median: The median is 11.82 grams of sugar per serving. (7.5+16.13=23.63/2) Sample Mean: 13.50 grams of sugar per serving (134.96/10= sum of the sugars, divided by the sample size) Range: 26.18 (27.781.6) Difference between the maximum and minimum Sample Variance: 86.49866667 (Calculation shown on the next page: used a spreadsheet and pasted into the document) Sample Standard Deviation: 9.300465938 (Calculation shown on the next...
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D. The river/lake where a fish was captured
4. Managers study the number of days per month over the last year that employees in the payroll department called in sick to determine the averages they can expect next year. Collecting the data and determining the averages last year is an example of what type of statistics? Determining the averages they can expect next year is an example of what type of statistics?
A. They are both examples of inferential statistics because averages are inferred in both instances.
B. Inferential statistics; descriptive statistics.
C. They are both examples of descriptive statistics because they deal with analyzing data.
D. Descriptive statistics; inferential statistics.
5. The grades that a random sampling of students in the psychology degree program received over the last decade of "Abnormal Psychology" classes are an example of what statistical concept?
A. The grades are an example of a parameter.
B. The grades are an example of a sample.
C. The grades are an example of a population.
D. The grades are an example of a statistic.
6. What method is used to sample a population so that it is representative of the population?
A. All but the samples that appear to have the lowest and highest values are selected.
B. Samples are chosen at random from the...
...LEAD 6341
Research Methods and Statistics
Midterm Exam
Part I: Calculations (Open Book)
Spring, 2013
Note: For the following computational exercises, show all steps of your work (when appropriate). Do NOT simply put an answer. Show or explain how you arrived at your answer.
1) Compute the mean, median, and mode for the following distribution: (5 pts)
1,2,2,3,3,3,3,3,3,4,4,5,6,7,7,8,8,8,8,8,8,9,9,10
The mean is what people call the average. (1+2+2+3+3+3+3+3+3+4+4+5+6+7+7+8+8+8+8+8+8+9+9+10 = 127/24 = 5.2916
Mean = 5.29
The median is the middle value. When the middle does not fall neatly in the distribution, use the following formula to identify the position. In the formula n is the sample size.
Median position = (n + 1) / 2
Median position = (24 + 1)/2
Median position = 25/2 = 12.5
Now we look for position 12 and 13. Position 12 is 5, and position 13 is 6. We take the average of the two values and that is the median. Median = (5 + 6)/2 = 11/2 = 5.5
Median = 5.5
The mode is the most frequent response in the distribution
1 – 1 6 – 1
2 – 2 7 – 2
3 – 6 8 – 6
4 – 2 9 – 2
5 – 1 10 – 1
In this example we have two modes. They are 3 and 8.
2) You have been asked to give a student two different tests; an intelligence test and a creativity test. The student scored 123 on the intelligence test and 123 on the creativity test. The mean for the intelligence test is 100, and the standard...
...Descriptive Statistics Paper
By
September 27, 2010
In this paper Team B will examine the data that we have collected and we will draw a conclusion based on your findings, to get to the conclusion we will analyze the data using descriptive statistics, we will calculate the measures of central tendency, and dispersion, we will also show all the information with graphics and tables for a better understanding of the date, after all these steps are executed we will draw our conclusion.
Data Analysis Using Descriptive Statistics
Through this paper, Team B will use the philosophy of descriptive statistics to describe the main feature of the collection of data quantitatively (Main PS 1995). Descriptive statistics will provide simple summaries about the samples and the measures. In essence, we will show a summary of the data that the team has collected. Some of the ways that we will show the data collected will be in the form of first central tendency which is the distribution locates the center of a distribution of values. The three types of the central tendency are the mean, the median and the mode. Secondly, we will look at the dispersion which is the spread of values around the central tendency (Dodge 2003). The standard deviation is a more accurate way of measuring the dispersion. Thirdly, the use of graphics and tables to illustrate the data collected in a visual background. Fourthly there...
...What are the characteristics of a population for which a mean/median/mode would be appropriate? Inappropriate?
The analysis of data begins with descriptive statistics such as the mean, median, mode, range, standard deviation, variance, standard error of the mean, and confidence intervals. These statistics are used to summarize data and provide information about the sample from which the data were drawn and the accuracy with which the sample represents the population of interest. The mean, median, and mode are measurements of the “central tendency” of the data. The range, standard deviation, variance, standard error of the mean, and confidence intervals provide information about the “dispersion” or variability of the data about the measurements of central tendency.
MEASUREMENTS OF CENTRAL TENDENCY The appropriateness of using the mean, median, or mode in data analysis is dependent upon the nature of the data set and its distribution (normal vs nonnormal). The mean (denoted by x) is calculated by dividing the sum of the individual data points (where Σ equals “sum of”) by the number of observations (denoted by n). It is the arithmetic average of the observations and is used to describe the center of a data set.
mean=x= One of the most basic purposes of statistics is simply to enable us to make sense of large numbers. For example, if you want to know how the students in your school are doing in the statewide achievement...
...Descriptive Statistics: Real Estate
University of Phoenix
RES/341 Research and Evaluation I
Descriptive Statistics: Real Estate
Does having a pool increase the price of houses that have the same number of bedroom? In order to answer that question, we divided our data set into two groups; houses with 1 to 3 bedrooms and houses with 4 and more bedrooms. We then compared the prices of houses with a pool to houses without a pool in each group. Different calculations were used to determine the central tendency, dispersion, and the skew of our data. The central tendency helps to simplify data and also to predict future results. We can use diverse calculations to measure it such as the mean, mode, and median. According to our sample of houses with 1 to 3 bedrooms, the mean price was higher of $4,060 for houses without a pool than with a pool. The same rule applies to houses with more than 4 bedrooms, but with a larger difference of $51,170. Another way we used to calculate the central tendency is by finding the median. The medians are also higher in each group for houses without a pool than those with a pool.
To better answer the above question, we also analyzed the skewness of our data in the two groups. . If we look at the two groups, houses with 1 to 3 bedrooms and houses with 4 or more bedrooms, the data seems to be skewed to the right because the mean is larger than the median. However, due to the small difference between the...
...Air Force Assignment
1. Use appropriate descriptive statistics to summarize the training time data for each method. What similarities or differences do you observe from the sample data?
Descriptive analysis in excel has been used to come up with relevant figures of the given data samples which is tabulated below:
Descriptive Statistics  Current  Proposed 
Mean  75.06557  75.42623 
Standard Error  0.505094  0.32091 
Median  76  76 
Mode  76  76 
Standard Deviation  3.944907  2.506385 
Sample Variance  15.5623  6.281967 
Kurtosis  0.06933  0.58694 
Skewness  0.22053  0.28749 
Range  19  13 
Minimum  65  69 
Maximum  84  82 
Sum  4579  4601 
Count  61  61 
Analysis of descriptive statistics shows that both the current and the proposed plan have almost similar mean completion hours which stand at 75.06 and 75.42 for the current and proposed respectively. Both the plans have exact same median and mode. However, the standard deviation in the current plan (3.94) is higher than that in the proposed plan (2.56), which is ultimately leading to the higher variance in the current plan. This suggests that the completion hours are more dispersed the mean value in the current plan, hence the mean does not give the true picture of data distribution whereas in the proposed plan, data for completion hours is comparatively more congregated.
2. Use the methods of...
...Descriptive Statistics paper
RES/341
July 24, 2011
Descriptive Statistics paper
The information below is a continuance of week two, week three, and on week four. The previous assessment in week two on “real estate research” for thinking of hypothesis on home values in Alvarado, Texas. The evaluating on real estate prices reveals a purpose of this research paper and its importance findings. The discoveries include problem definition, and on variables.
The next assessment was on week three on “data collection” on reviewing literatures, sampling design, and on any ethical concerns with collection data on the same topic. A summary was assembled in week three on terms of population, sampling size, and factors on real estate. This research found house prices to change in each different region.
This is week four paper on “descriptive statistics” on real estate in Alvarado, Texas. The information below will consist of; data analysis, data using graphic and tabular techniques, and on skew values, histogram measures, and on central tendency.
The Central tendency is the measures of numerical summaries used to summarize data with a one number. The most common used are mode, mean, and median. The Hypothesis is "homes more or less expensive fifteen miles away from the center of the city"? The comparison will come from the City of Arlington, Texas, and Cedar Hill. The mode is the data that happens most frequently in the data...
...Grenoble Ecole de Management 
Research Methodology Project 
Correlation between social media and emotional stability 

Christian Morris
Karla LukicXinyun MA 
2014/5/5 
Research Question
Does social media has impact on the emotional stability of students?
Hypotheses:
H1: Females have the same ability to handle personal problems as males.
H2: There is higher proportion of females that frequently use social media applications for personal reasons than males.
H3: Frequency of social media application usage for personal reasons will affect a student's ability to handle personal problems less for males than females.
H4: There is a positive relationship between the frequency of social media application usage for personal reasons and a student’s ability to handle personal problems.
Variables:
The relationship studied involves a dependent variable and independent variable; however, the former is broken down into 5 categories.
Dependent variables (X):
* Frequency of social media application usage (mean)
* Frequency of Facebook usage
* Frequency of Google+ usage
* Frequency of LinkedIn usage
* Frequency of Twitter usage
* Frequency of YouTube usage
The questions regarding these variables were posed in the survey through a 7 point Likert scale as seen below:
How frequently do you use each of the social media applications listed below for personal reasons?
 Daily (1)  23 Times a Week (2)  Once...