Which type of analysis would you run to answer the question.   eg. Chi square goodness of fit, one sample t test   no need to run actual analysis simply choose and explain why

Q6

Explain the meaning of the specified term. Sample data

Please provide a correct answer with a full method explanation and do not copy and paste from other similar questions. This question is multiple choice so please give me a correct answer from the given five options.

Only answer part C, use Part B and the chart if needed.

The histogram describes the height of students in a math class. Is the data univariate or bivariate? Is the skewness left, right, or normal?

Find Q1, the median, Q3, and the IQR for the data shown below. (Exclude the median from the lower half and from the upper half of the data.) 14 17 18 23 24 48 55 56 68 76 88 Q1 Median= Q3 = IQR = %3D

Cloud seeding, a process in which chemicals such as silver iodide and frozen carbon dioxide are introduced by aircraft into clouds to promote rainfall was widely used in many years. Recent research has questioned its effectiveness. An experiment as performed by randomly assigning 52 clouds to be seeded or not. The amount of rain generated was then measured in acre-feet. The box plot of the data for the seeded and unseeded clouds are shown in the figure. Which statement best interprets the box plot. Boxplot of Seeded, Unseeded 3000 f 2500어 2000 - 1500 - 1000 - 500- Seeded Unseeded a. Cloud seeding is somewhat effective in promoting rainfall because of the greater mean b. Outliers for both seeded and unseeded data may prove data on the effectiveness of cloud seeding is insufficient c. Extreme outliers are evident in the seeded data and has greater variance O d. There's a greater mean and greater dispersion in the seeded data. Both plots show outliers Data

When manually calculating a Mann-Whitney analysis, the first step is to organize your data in numerical order, from lowest to highest. Which of the following statements is true about this step in the analysis process. Group of answer choices The data should be squared before you sum the data. The data from both groups should be combined before ranking the data. The data should be summed (added) before ranking the data. The data should be ranked with each group independently.

Question: You don't have to re-calculate anything. Explain why the mean and median would go up and the mode would stay the same?