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Created: Jan 25, 2017
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Masood, Sonia, Lab 2
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1. Name the data type and level of measurement(s) for the variable displayed in your pie chart?

(No explanation necessary.)

 

2. Name the data type and level of measurement(s) for the variable displayed in your split bar graph?

(No explanation necessary.)

 

3. What is the total number of respondents in the Statistics Class Survey?

There were 204 respondents in the Statistics Class Survey.

 

4. What is the sum of all the values on top of the bars for females?

The sum of all values on top of the female bars equals 65.8, I don’t know why. I am having a difficult time creating a bar graph for this data. I created pie charts for men and women’s desires and the results were not the same as the bar graph. It is like having graphs made from completely different data. The pie charts show the sum of the total percents add up to 100%.

 

5. According to the collected data, what is the likelihood that a male Math 134 student chosen at random desires to be “Richer”? According to the collected data, what is the likelihood that a female Math 134 student chosen at random desires to be “Richer”?

Well according to my pie graphs, which I believe are accurate, I would say that there is a 40.3% chance that a male Math 134 student chosen at random would desire to be richer.  There is a 33.33% chance that a female Math 134 student chosen at random would desire to be richer.

6. Name the mode response for the females.

 

The mode response for females, was to be smarter, it had the highest rate of responses according to both graphs I created. 

Result 1: Transfer Plans MJC Spring 2017 Stat Students, by Sonia Masood   [Info]
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Result 2: Male and Female Desires (Percent), 2017 Stats Class, by Sonia Masood   [Info]
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Result 3: Male Desires, 2017 MJC Stat class, by Sonia Masood   [Info]
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Result 4: Female Desires- 2017 MJC Stat Class, by Sonia Masood   [Info]
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<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=66018">Masood, Sonia, Lab 2</A>

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By pignottia
Apr 30, 2017

#1, #2, and bar graph incorrect. Graded.

Always Learning