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A minimum of 75 words each question and References(IF NEEDED)(Response #1–7) KEEP RESPONSE WITH ANSWER

Make sure the Responses includes the Following: (a) an understanding of the weekly content as supported by a scholarly resource, (b) a relation of the course content to personal or professional experience, and/or (c) the provision of a probing question.

• Because a Cumulative Frequency “distributes the sum of frequencies across a series of intervals” (Privitera, n.d.), researchers often use A Cumulative Frequency Distribution. The purpose behind the researcher using this for their data is because they are wanting to provide details about frequencies that are either above or below a particular value within their data. The percentiles are the same in that they identify a particular value within a larger distribution. However, the difference is that a percentile is used to get even more detail as to where the particular value is within the frequency. Once the particular value is located it is then

• Frequency distributions summarize how often, cumulative frequency is defined as a running total of frequencies across a series of intervals. The frequency of an element in a set refers to how many of that element there are in the set (Privitera, 2018). A cumulative frequency can also define as the sum of all previous frequencies up to the current point. Such as in the homework assignment in week 1. A researcher records the number of dreams that 50 college freshman students recalled during the night prior to a final exam. In this example the cumulative frequency was 50 42 28 18 5. Researchers often prefer to report cumulative percent from the bottom up to explain which demonstrate the percentiles of scores in a distribution. They are the same since the percentile is divided from the information from the cumulative frequency amount it is the percentage of scores in its frequency distribution. The cumulative is the running total while the percentile is the percentage.

• Hi Professor Krywaruczenko and class, Cumulative frequencies are different from percentiles because you need to how many people or objects  more or less before finding the percentage that has something in common. These numbers are converted into a percentage from the number of frequencies that was counted. The way they are alike is that you have to use both to come up with a solution based data to support your research. “Cumulative frequencies (cf) show the number of individuals located at or below each score.To find percentiles, we must convert these frequencies into percentages. The percentages that result are called cumulative percentages (c%)–show the percentage of individuals accumulated as you move up the scale.” (Web, 2019)

• I agree with you that cumulative frequencies are the total of all the frequencies combined. I understood percentiles as a summary of data that is easier for readers to understand, mainly when there are large amounts of data reported. I agree with your observation that both cumulative frequencies and percentiles are used to represent the frequency or proportion in a set of data.

• Thank you for such a detailed explanation of SPSS! I must admit the concept of entering data into SPSS intimidated but after I watched the tutorial and video as well as read your post it made more sense. In the video I watched the instructor mentioned SPSS is a mindless way to analyze data. After researching the product, I learned it is an easy way descriptive statistic, regression advance statistics, percentiles and create tables. Is there a way to obtain more descriptive data once you entered the variables? Can you analyze the mean, mode or median or am I way off and can you compare them?

• A relative frequency is a display which summarizes the proportion of scores occurring in each interval, it requires you to divide the absolute frequencyfor each event (for example, in my DQ-1 example) relative frequency was used to average the scores of an exam. Relative frequency would be used when conducting an experiment, therefore exams, competition, group analysis or anything where you are trying to analyze or survey a reaction (Privitera, 2018).SPSS is used to measure the mean (or average), the median (the ascending order or ranking) and the mode (the value which appears the most). SPSS can give you an idea about the spread of your data in a glance. To enter relative frequencies type, click _new data set _ enter the data into the columns, as soon as you do the column gives it a name, _ analyze then _descriptive -frequencies which is available on the pop-up window. Next click the arrow and move the variables to the right side. The next step is to click the display frequency table then click ok. SPSS will calculate the data for you and the results will be displayed in a separate window (Privitera, 2018).

• Relative frequency is the number of how many time something may happen. This can be use when we are trying to understand what items, ideas, or actions are most frequently used, and categorizing them in order to organize the data. Relative frequencies are the portions within the data collected, that show are displayed between 0 and 1.0 (Privitera, 2015). For example, when trying to survey individuals on their forms of transportation, we can categorize their responses, such as by car, walking, biking, and public transportation. We can use their responses to create a table in order to organize the frequencies within these categories depending on their responses. For instance when surveying 250 people on their modes of transportation, we can make a chart that looks like the chart attached to this post.SSPS can be used to enter in the data of these frequencies collected from surveys like this, and entered into a new data sheet. Once entered, click on the analyze tab at the top of the page, then click on descriptive statistics , and then frequency. A window will pop up that will allow you to drag the information from the data you entered to convert into requncy variables. Once you drag from the left screen to the right, click okay, and a screen will pop up that will show your relative frequency.