Using Statistics Entrepreneurship. Math Review Percents A percent is a part of a whole Percents can be calculated from decimals by multiplying them by.

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Presentation transcript:

Using Statistics Entrepreneurship

Math Review Percents A percent is a part of a whole Percents can be calculated from decimals by multiplying them by 100 o Example: (0.37)(100) = 37% o Example (0.83)(100) = 83% o Example: (1.58)(100) = 158%

Math Review Percentage Change 20% of a whole is not the same as a 20% increase, or a 20% decrease o Example: 30 20% of 30 = (30)(0.2) = 6 20% increase = 30 + (30)(0.2) = 30+6 = 36 20% decrease = 30 - (30)(0.2) = 30-6 = 24

Math Review Percentage Change o Example: There are 30 students in a class.  40% got A’s on the last test. How many got A’s?  Some students are joining the class to work on a project. There are 20% more students than there were before. How many students are there?  The class is now too big and the counselor wants to take 30% of the students out. How many students need to leave?

Math Review Percentage Change o Example: There are 30 students in a class.  40% of 30 = (30)(0.4) = 12  20% more than 30 = 30+(30)(0.2) = 30+6 = 36  30% less than 36 = 36-(36)(0.3) = = 25 students will remain, so 11 have to leave Round up to the nearest whole number

Tabulating Survey Results Processing Data 1.Tally responses — Determine how many people selected each possible response 2.Record responses — Determine the most common answers for each open-response question 3.Calculate percentages — Determine what percent of the surveyed population agreed with each possible response 4.Calculate measures of central tendency — mean, median, mode

Tabulating Results Percentages Formula Percent = segment of the population total # of the population surveyed () x 100

Tabulating Results Percentage Formula Example: Out of 500 students surveyed, 387 want Homecoming to be on a Saturday night instead of a Friday night Percent = 387 = x 100 = 77% 500 ( ) x 100

Statistical Data Examples o Example: 150 students were surveyed.  35% said they use Facebook. How many use Facebook?  You give the survey to another 120 students. 60 of these students use Facebook. What percentage of students from both sections use Facebook?

Statistical Data Examples o Example: 150 students were surveyed.  35% said they use Facebook. (150)(0.35) = 52.5 = 53  You give the survey to another 120 students. 60 of these students use Facebook. What percentage of students from both sections use Facebook? Total number of Facebook users = 60+53= 113 Total number of surveyed students = =270 Percentage of Facebook users = (113/270)(100) = 42%

Drawing Conclusions Common Errors Sample size — sampling too few members of a population to draw statistically significant results; need at least 10%, but preferably as many students as can be reached, especially in smaller school settings

Drawing Conclusions Common Errors Sample size Correlation — Taking two different questions on a survey and indicating that they are related to one another, without a specific link between them o Example:  80% of students surveyed indicated they use Twitter  75% of students surveyed said they read the newspaper  THEREFORE, 75% of the school population would follow us on Twitter if we made an account, and we may be able to get 5% more of the school to read the newspaper that way

Drawing Conclusions Common Errors Sample size Causality Extrapolating — Drawing an extreme conclusion that is not supported by the data o Example: Students were asked if the newspaper met their informational and entertainment needs, or if it could be improved to reach them as a consumer.  45% of students surveyed believe the newspaper is mostly meeting their needs  25% of students surveyed believe the newspaper is exceeding their needs  30% of students surveyed believe the newspaper is not meeting their needs  THEREFORE, the newspaper does not need to make any changes, since the majority of students are happy with everything the newspaper is doing.

Drawing Conclusions Common Errors Sample size Causality Extrapolating “Most” — “Most” can only be applied when more than 50% of a group of people agree; it implies a majority o Example: Students were asked which social network they use most often.  If 40% of students use Facebook, 35% use Twitter, and 25% use Vine, it is NOT accurate to say that MOST of the student body uses Facebook.

Drawing Conclusions Measures of Central Tendency Mean — the sum of all values in a set divided by the total number of values Median — the middle value in an ordered set of values (from smallest to largest) Mode — the most-often recurring value in a set of values

Drawing Conclusions Measures of Central Tendency Example: 15 students were asked to rate the newspaper on a scale of 1-10, 1 being awful and 10 being amazing. Their answers: {1,2,2,2,2,2,3,3,5,6,8,9,9,9,10} o Mean = (sum of set)/15 = (70)/(15) = o Median = {1,2,2,2,2,2,3,3,5,6,8,9,9,9,10} o Mode = 2

Drawing Conclusions Measures of Central Tendency Use them when you have a large set of options or numbers, especially with rating or scale questions Best to calculate mean, median AND mode, not just one o Each yields different information o An outlying number (extreme high or low) could mess up the data o An average is not always the best indicator

Drawing Conclusions Measures of Central Tendency Example: 15 students were asked to rate the newspaper on a scale of 1-10, 1 being awful and 10 being amazing. Their answers: {1,2,2,2,2,2,3,3,5,6,8,9,9,9,10} o Mean = (sum of set)/15 = (70)/(15) = o Median = {1,2,2,2,2,2,3,3,5,6,8,9,9,9,10} o Mode = 2 Which of the numbers best reflects the survey results? o Probably the median or mode, NOT the mean!

Drawing Conclusions Example: 25 students were asked how much time they spend using social media daily, expressed in 30 minute increments (0.5 = 30 minutes). Their answers: {0.5, 5, 3, 2, 1, 6, 1.5, 1, 1.5, 3, 9, 0.5, 0.5, 0.5, 2, 2, 2, 2.5, 3, 1.5, 1, 1, 1, 1, 1.5} Calculate the following for the set: Mean Median Mode Based on the results, do you believe this group of students would be likely to interact with an online publication? Why or why not?

Drawing Conclusions Example: 25 students were asked how much time they spend using social media daily, expressed in 30 minute increments (0.5 = 30 minutes). Their answers: {0.5, 5, 3, 2, 1, 6, 1.5, 1, 1.5, 3, 9, 0.5, 0.5, 0.5, 2, 2, 2, 2.5, 3, 1.5, 1, 1, 1, 1, 1.5} Calculate the following for the set: Mean = (53.5 / 25) =2.14 Median {0.5, 0.5, 0.5, 0.5, 1, 1, 1, 1, 1, 1, 1.5, 1.5, 1.5, 1.5, 2, 2, 2, 2, 2.5, 3, 3, 3, 5, 6, 9} Mode = 1 Based on the results, do you believe this group of students would be likely to interact with an online publication? Why or why not?