c) The following output was obtained via Microsoft Excel. What does it lead you the output to full execute the significance test tied to (a) and (b) above. MAKE CONCLUSIONS as to the context of the problem. (Use a = 0.05) t-Test: Two-Sample Assuming Unequal Variances Normal End of Aisle Mean 50.3 72 Variance 350.68 157.33 Observations 10 10 Hypothesized Mean Difference 0. t Stat -3.0446

The Insurance Institute for Highway Safety publishes data on the total damage suffered by compact automobiles in a series of controlled, low-speed collisions. The cost for a sample of 9 cars, in hundreds of dollars, is provided below. 10, 6, 8, 10, 5, 3.5, 7.5, 7,9.5 Find interquartile range for mileage data and value of variance.

12) Please provide a correct answer with a full method explanation and do not copy and past from other similar questions.

Please answer and show all work. Thank you!!!

Explain whether the Empirical Rule can be used to describe the chosen data sets in Part 3a. Justify your response with a thorough explanation. Hint: Do either have outliers and/or extreme skewness?     Variable1 (Female Height): Variable 2 (Female Weight): Min 54.2   75.3   Q1 60.4   118.4   Median (Q2) 62.4   170.8   Q3 65.6   212.2   Max 74.9   396.1

A brokerage firm wants to conduct a study to see if there is a linear relationship between the size of an account and the number of trades conducted each year. What would be the most appropriate procedure to use to analyze data to answer this question? Only choose a test that handles multiple comparisons if such a test is needed. O ANOVA (Analysis of Variance) O Regression Test of Slope or Correlation O Test for a Difference of Proportions O Chi-square test of association O Test for a Difference of Means

Use the attached table to answer the following: What is the dependent (response, outcome) variable?   What is the independent (explanatory) variable?   Describe the pattern of association between subjective class and satisfaction with financial situation.

Which of the following conclusions is correct for these test results? > bartlett.test(len~river, data=rivers) Bartlett test of homogeneity of variances data: len by river Bartlett's K-squared = 0.61394, df = 4, p-value = 0.5226 %3D Hint* the first line of code should tell you the type of test you are dealing with. There is NO significant difference in variances among the rivers. There is a significant difference in variances among the rivers. There is NO significant difference in means among the rivers.

please answer the first 3 and explain the reason for the answer.