Wk 1 Worksheet Answers Yolanda Valencia PDF

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Descriptive and Inferential Statistics Worksheet Part A 1.

Mean 28.375, Median 25.5, Mode 23

2. Our special today was; Huge Burger $2.95, Baby Burger $1.49, Chicken Littles 3.50, Porker Burger $2.95, Yummy Burger $1.99, and Coney Dog $1.99.In total we sold 119 specials. Of these Chicken littles sold the most, coming in with 25 purchased. (25/119) * 100 = 21 % of our sales today. 3. When working with data that has varies from very high to very low numbers, I would most likely use the median central tendency because then I could average out the number and use the midrange data that was collected. I believe that this would be the best way to gain the most complete information from the data set I received. And according to our textbook, median would be great in something this because “median is the middle score” (Jackson, 2017). 4. Test 3 had the highest average score coming in at 91.5. While test 1 had the smallest score of 75. As the standard decreased, the score increased. I also noticed that the range also decreased. The 3rd test had the least variability. Over time the students did improve and scored higher with each test. The biggest part of the problem with the variable in Test 1 was that 1 student received a score of 51. 5. A.I would use a pie graph to show the proportion of freshman, sophomores, juniors and seniors in a particular university because pie graphs are great for showing six or less categories. B. I would use a line graph to show the change in GPAs over four semesters because a line graph can track changes over short or long periods of times. C. I would show the number of applicants for four different jobs in a pie graph, again, it is great for six or less categories.

D. & E. I would use a bar chart for both tracking people’s reaction to different stimuli and the number of scores in 10 different categories because bar charts work well for comparisons.

6. Frequency Table:

Histogram:

Part B 1. The easy answer is that statistics is basically applied mathematics that is used to prove or deny a belief in science. This belief must be studied and tested before it can be said that it is true. That is where statistics comes in. Behaviors can be mathematically classified in science by data as proven or disproven this is done by measuring all of the data that is collected from statistics. Most behaviors can be analyzed by administering the statistical approach. Studying the way people react to certain situations and under different conditions, requires the use of statistics being applied in behavioral science research. By doing this, procedures and approaches are created to help people deal with these circumstances or situations. 2. The four levels of measurement are; Nominal scale, Ordinal scale, Interval scale and Ratio scale. With Nominal scale, the objects or data, can be categorized and have no numerical properties. With Ordinal scale, the individuals or data may be categorized and put in order of sequence. With Interval scale, the data can be put into categories, into sequence and evenly spaced. With Ratio scale, the data can be put into categories, into sequence, can be evenly spaced and “absolute zero” (Jackson, 2017). Example of each; Nominal scale = city where you live, Ordinal scale = political affiliation, Interval scale= temperature and Ratio scale = weight. The typical statistics that all of these measurements have in common is Mode, the all use it is. Something else that all four of these measurements share is that they have the same property of identity. It is important to know which measurement scale to use when researchers are conducting any kind of statistical tests so they can be sure that the data that is being analyzed is analyzed correctly. 3. Descriptive statistics review the features of the number sets. They give you imageries of accounts of certain people who were examined via different studies using a variety of charts, graphs , or other types of research. Inferential statistics allow you to examine a theory or measure whether your

information is can be generalized to the larger population. Inferential statistics are able to come up with calculations of specific type of people that were examined. Each of these statistics offer data on a specific type of people and each one is dependable, nevertheless, each one of their specimen errors varies, as well as their detail. Similarities Each of these approaches complete directed studies. Each method is effective in conducting research. Each method will give specific information for large studies. Each method is well-matched with research that is both inductive or deductive. Differences There is a larger chance of errors with inferential statistics than with descriptive statistics. Descriptive statistics have more forthright outcomes that may be charted, diagrammed or summarized. Descriptive statistics uses a specific sampling while Inferential statistics uses a random sampling.

References Jackson, S. L. (2017). Statistics plain and simple, (4th ed.). Boston, MA: Cengage Learning....