Help  Curvey two different groups of at least 10 people each.  It has to be a quantitave type of data. Compute the mean, median, standard deviation, and coefficient of variance for each of the two groups. Then compare your results for each of the four statistics using 5%. Females that have a school degree 3,4,3,1,3,2,3,4,2,4,7,4,6  Males with a school degree 4,3,2,6,9,2,3,3,6,4,2,4,1

The midterm and final exam grades for a statistics course are provided in the data set below. Jaymes, a student in the class, scored 86 on both exams. Treat the given data sets as samples. Midterm: 80, 78, 85, 82, 79, 79, 78, 86, 80, 84, 78, 84, 80, 84, 81, 78, 81, 82, 78, 84 Final: 81, 88, 68, 69, 69 81, 82, 86, 76, 71, 72, 68, 77, 86, 68, 83, 84, 71, 81, 87 z-score for midterm: 1.857 z-score for final: 1.181 Based on the z-scores calculated above, which of Jaymes's grades is more unusual, the midterm grade or the final exam grade? Select the correct answer below: A. The absolute value of the z-score for the final exam grade is greater than for the midterm grade, so the final exam grade is more unusual. B. The absolute value of the z-score for the midterm exam grade is less than for the final grade, so the midterm grade is more unusual. C. The absolute value of the z-score for the midterm exam grade is greater than for the final grade, so the midterm grade is more…

Can you find a set of data such that the mean, median, and variance are all equal to each other? Find as many data sets as possible. If none are possible, explain why. If many are possible explain why. If you find any patterns explain what they are and how they are useful in the hunt for understanding this question.

State whether one would expect the data set described below to be normally distributed. Explain why or why not. The genders of 1,000 randomly selected adults

The sample data here is the cholesterol levels for 10 men diagnosed with high cholesterol. The first row represents levels from 10 men who did not use the drug and the second row from 10 different men who did use the drug. If we want to test the claim that the mean level for all men who use the drug is less than the mean for all men who do not use it, what is the appropriate alternative hypothesis?    The mean cholesterol level of males who take the medicine is higher than the mean cholesterol levels of men who do not take it.       There is a significant difference between males who use the medicine and men who do not use the drug in terms of mean cholesterol levels.       The mean cholesterol level of males who take the medicine is lower than the mean cholesterol levels of men who do not take it.       There is no significant difference between males who use the medicine and men who do not use the drug in terms of mean cholesterol levels.

Here are 6 celebrities with some of the highest net worths (in millions of dollars) in a recent year: Oprah Winfrey (3200), Michael Jordan (1700), Paul McCartney (1200), J. K. Rowling (1000), David Copperfield (1000), and Jerry Seinfeld (950). Find the range, variance, and standard deviation for the sample data. What do the results tell us about the population of all celebrities? Based on the nature of the amounts, what can be inferred about their precision? The range is $ million. (Round to the nearest integer as needed.) ...

A population of grades for a statistics class of six students is given below:   71,63,68,80,85,82   Find the variance for this population. Population Variance =

Use the Student Unit Load data.  Student Unit Load 3, 12, 6, 9, 6, 12, 15, 12, 7, 9, 3   Find the mean, median, mode, range, standard deviation and variance. Use the range rule-of-thumb to find significantly high and low scores. Write the 5-number summary. Find the z-score for x = 15 Is x = 15 unusual in terms of a z-score?

find an example of when statistics were misused/skewed and state the reason why you think the statistics were reported that way.

One study found a negative correlation between participant’s age and hours of sleep they got (as they got older, they slept less). Which additional fact would lead you to believe that the relationship between age and hours of sleep is one of causation and not correlation?     Jim is 63 and sleeps more than he did when he 47.     Josie is 40 and sleeps fewer hours than when she was 30.     The participants were randomly selected, the sample size was large, and the participants did not know the goal of the study.     Jennie sometimes has difficulty sleeping.