Suppose that, at the end of last semester, Marie gave her introductory statistics class a final exam. After grading these exams, she created a histogram illustrating the distribution of exam scores for the 71 students in the class. 20- 10 40 60 100 Exam scores Each of the bars in this histogram includes only the left endpoint of the interval, except for the bar representing scores between 90 and 100 points, which also includes the right endpoint. What percentage of students scored between 70 and 90 points on the exam? Round your answer to the nearest tenth of a percent. Percentage of students who scored between 70 and 90 points: How many students scored at least 80 points on the exam? Number of students who scored at least 80 points: students Which of the following statements about the distribution of final exam scores is true? The lowest score carned on the exam was 10 points. A majority of students earned between 80 and 90 points on the exam. At least four students earned fewer than 40 points on the exam. More students earned Cs (between 70 and 80 points) than As (at least 90 points).

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A: Histogram

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A: Introduction Data are the nos. that are collected and analyzed to draw meaningful insight from it.

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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.