searcher has collected the following sample data Calculate Type of work 1 2 coffined of variation, which is the best? mean 100 150 Standard deviation 20 24
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- What is the Sample Skewness for the following numbers: mean of 100.89 , median of 95, and standard deviation of 52.38?please show all steps for this practice questionAnother idea is to look at how a team's payroll impacts its home attendance. Higher payroll usually signals more higher-skilled players on a roster which should brings fans to the ballpark to see these players. Create 2 samples based on Team Salary and calculate average attendance, variance of attendance, and standard deviation of attendance for each sample. Sample 1 = 10 teams with the highest team salary Sample 2 = 10 teams with the lowest team salary Tip: Use Excel's sorting tool to sort the data by salary (highest to lowest), and copy the 10 highest and 10 lowest into a separate part of the spreadsheet for easier analysis. Sample 1 Sample 2 Top 10 Team Salary Bottom 10 Team Salary Sample mean attendance mil mil Sample attendance variance mil mil Sample attendance standard deviation mil mil Perform a hypothesis test to determine whether there is a difference in the mean attendance of teams between the two groups…
- just the last part, i included the sample. thank you!The histogram shown below represent the number of visitors to the Louvre museum within 24hours, determine: 1) Mean 2) Median 3) Mode 4) Variance 5) Standard deviation Visitors to Louvre 9 Museum within 24 hours 8. 7 2 1 69.5 74.5 79.5 84.5 89.5 94.5 99.5 Boundaries Limit FrequencyWhat is the Sample Skewness for the following numbers:mean of 106.89 , median of 87, and standard deviation of 54.36?
- Find the mean, variance, and standard deviation with the given picture below.Using the R studio dataset: tsa <- read.csv("https://remiller1450.github.io/data/tsa.csv") From this dataset, take a sample of n = 10 claims. Record the mean Close Amount of this sample. Repeat this 500 times using a for-loop. What is the mean and the standard deviation of these 500 sample means. Draw a histogram (use freq = FALSE option) of these 500 sample means.Which of the following measures are most resistant to outliers? Mean Median Mode Range Standard Deviation IQR (interquartile range)
- Which of the following is a standardized way to compare the amount of spread around the mode in two unrelated datasets? Standard deviation Coefficient of variation Interquartile range Cumulative relative frequencyQ7: what is the answer for both parts to this question, answer choices are provided in the picturesBelow are the summary statistics for female verses male body temperatures in Fahrenheit, Gender, Sample Size, Sample mean, body temperature. Sample standard Deviation. Females 27 98.394 0.743. Males 13 98.015 0.699. Using a 5% significance test the hypothesis that female body temperature is the same as male body temperature. Show your work. Thank you!