Randomly Generated Numbers

21 54 45 61 60 40 64 50 78 23 57 10 14 59 87 62 25 1 77 3 13 41 11 67 26 88 83 58 53 63 89 71 69 48 84 22 94 90 7 42 74 52 75 28 5 72 93 24 92 12 33 73 44 9 4 [...]

Relating to the Weekly Topic!

This assignement allowed us to apply the principle of the Law of Large Numbers, which states that the greater the sample size or number of events, the closer the expected value comes to the actual value. In addition, determing the probability of Ms. Williams having exactly three boys in succession allowed us to understand rare [...]

Strengths & Weaknesses

    Weaknesses in our assignment include the human error that could occur when flipping a coin one hundred times to determine the probability of heads versus tails. Also, mathematical errors could occur when calculating the z-score and finding the corresponding value for the question about changing your oil on time.   Strengths of the assignment include [...]

Specifics of Assignment 3

How likely is the event “exactly three boys in succession?” What was the probability you obtained?       In order to represent the probability of Ms. Williams conceiving exactly three boys in succession, I decided to flip a coin one hundred times and record the event as either heads or tails, where heads was equal to a boy [...]

Lab 2: Specifics of the Assignment

    The mean would be the most effected measure of central tendency by outliers, especially when there is such a small data pool. Since every number is given equal weight, data can easily be skewed in a direction by an outlier. Also, due to the fact that variance and standard deviation calculations rely on the [...]

Assignment 2: Lab Questions

1. The measure of central tendency that is most effected by extreme temperature values is the mean. The mean is most effected because it is essentially the average of all the temperature readings, where each temperature is given eqaul weight. Thus, if one temperature reading was extremely low than the mean of the data would [...]

Lab 2 Questions

Statistics Dave’s Data SPSS Gathered Data. Mean Temp:98.3778 Median Temp: 98.4000 Mode Temp: 98.40 Std. Deviation: .69356 Variance: .481 Hand calculated Data Mean Temp: 98.38 Median Temp: 98.80 Mode Temp: 98.40 Std. Deviation: .678232998 Variance: .46

Strengths & Weaknesses

      Flaws that might be inherent in this lab would be the miscalculation of the central tendencies, variance, and standard deviation when the student is required to calculate them by calculator. Another weakness is in the relatively limited amount of data points that are available for this lab. Using only thirty-five data points is not enough data to [...]

Relating Lab to Weekly Topic

    The topic of class for this week was central tendency, variance, and standard deviation. All of these principles are ways to measure random data, assess the range of our data and find a pattern within it. Finding the measures of central tendency and variation in our data allows us to also compare our temperature readings with the average [...]

Assignment 2: Melissa’s Data and Findings

After computing measures of central tendency and variation for my hourly body temperature readings, here are my findings: Using my calculator- Mean= 97.83  Median= 97.8  Mode= 97.7                                   Standard Deviation= 0.81   Variance= 0.66 Using SPSS- Mean=97.83   Median=97.8   Mode= 97.7   Standard Deviation=0.83   Variance= 0.68 *I used my calculator and SPSS version 15.0 to collect my data