Anthony Bolosan reply

.docx

School

Jomo Kenyatta University of Agriculture and Technology *

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Course

60

Subject

Statistics

Date

Nov 24, 2024

Type

docx

Pages

3

Uploaded by evansmayaya

Anthony Bolosan posted Oct 26, 2023 8:47 AM Subscribe 1. Share your data set. See Step 1 in the Python script. temperature 0 71 1 82 2 80 3 78 4 89 5 93 6 93 7 93 8 95 9 91 10 91 11 87 12 80 13 77 2. What were your descriptive statistics for this data set? Report the mean, median, variance, and standard deviation. Based on these statistics, what can you say about the distribution of daily maximum temperature in your city or zip code? Use all of the statistics that you calculated to explain the distribution in detail. See Step 2 in the Python script. Mean= 85.71 Median= 88.0 Variance= 57.3 Standard Deviation= 7.57
The distribution of daily maximum temperatures is fairly normal, with some variation. Temperatures tend to average out, but there can be variations from day to day. There are no extreme or unusual temperature values in the data. 3. Which graph showed the general trend of daily maximum temperature in your city or zip code? See Step 3 in the Python script. 4. In general, how are the measures of central tendency and variability used to analyze a data distribution? In general, measures of central tendency and variability are essential tools for summarizing and analyzing data, helping to extract meaningful information and patterns from datasets. 5. The Python script also provides you with temperature data for a city called Zion. Which graph showed the difference in the distribution of your data and Zion's data? What can you say about the differences in data distributions? See Step 4 in the Python script.
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