a) What type of graph is shown above? [ Select] b) Describe the shape of the graph. [Select ] c) What is the sample size from the data above? [ Select ]
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
![### Histogram of Weight (lb)
#### Diagram Explanation:
The graph shown is a histogram that illustrates the frequency distribution of weights in pounds (lb). The x-axis represents various weight ranges, and the y-axis shows the frequency of each weight range.
- **Weight Ranges and Frequencies:**
- 100 - 120 lb: 13
- 120 - 140 lb: 12
- 140 - 160 lb: 6
- 160 - 180 lb: 5
- 180 - 200 lb: 1
- 200 - 220 lb: 1
- 220 - 240 lb: 1
- 240 - 260 lb: 1
The bars' heights correspond to the number of individuals whose weights fall within each interval.
#### Educational Questions:
a) What type of graph is shown above?
- [Select]
- Answer: Histogram
b) Describe the shape of the graph.
- [Select]
- Answer: The graph is right-skewed, with the majority of the data clustered to the left (lower weights) and fewer data points extending to the right (higher weights).
c) What is the sample size from the data above?
- [Select]
- Answer: The sample size is 40. (Adding the frequencies: 13 + 12 + 6 + 5 + 1 + 1 + 1 + 1 = 40)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2f4a9f05-fdd6-4e90-876c-ee547117be59%2F75a1a2d0-cb40-4f31-afc9-531d2f575d1b%2Fjtl2mo_processed.jpeg&w=3840&q=75)
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