mg).The total blood cholesterol level was mneasured for each of 20 adults. Here are the 20 measurements (indL132, 142, 157, 160, 165, 170, 178, 178, 178, 183, 194, 197, 197, 199, 203, 210, 219, 222, 231, 238Send data to calculatorSend data to ExcelFrequency8.444-2.125150175200225250Cholesterol level (in mg/dl) OMean(a) For these data, which measures ofcentral tendency take more than one value?Choose all that apply.OMedianOModeUNone of these measures(b) Suppose that the measurement 238 (the |U Meanlargest measurement in the data set) werereplaced by 351. Which measures of centraltendency would be affected by the change?Choose all that apply.OMedianOModeCNone of these measuresOMean(c) Suppose that, starting with the originaldata set, the largest measurement wereOMedianremoved. Which measures of centralUModetendency would be changed from those ofthe original data set? Choose all that apply.UNone of these measures

Mean: It is the sum of an observations divided by the total number of observations of the data set.…

Answered: (a) For these data, which measures of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Suppose we want to know the mean number of shurikens thrown each night by ninjas in Konoha village. Getting this information from every ninja in the village would take forever. Instead, we randomly select 20 ninjas from the ninja school that is closest to us. a. Identify the population of interest in this survey b. Describe the parameter of interest in this survey. c. Identify the sample of interest in this survey.
Which one of the following statements is related to qualitative variable? a. The water capacity of a water tanker is 2000 liters b. Number of cars sold by a showroom in a day Classification of students in a college based on their intelligence Od. The profit of a bákery in one month is 1200 OMR Who defined Statistics as Dumerical statement.of facts in any department of other search
3. You would like to determine if there is a statistical relationship between the amount of caffein in a cup of coffee and their sales at their coffee franchises. The data is included in the set "Coffee by the Cup". Here is information about the variables. Variable Caffeine Cups Sold Measurement Amount of caffeine in one cup Number of cups of the coffee Units Milligrams Cups sold sold at all of the franchises a. Which variable is the explanatory variable and which variable is the response variable? b. Construct a scatterplot of the data. Based upon the scatterplot is there a linear relationship between the amount of caffeine in one cup of the coffee and the number of cups of coffee sold? Justify your reasoning using the scatterplot. c. Run a t-test for correlation using technology. Make sure you include the p-value and the printout. According to the t-test, is there a statistical relationship between the amount of caffeine in a cup of coffee and the number of cups sold? Justify your…
Suppose the observational units in a study are the patients arriving at an emergency room on a given day, Nov 11, 2019. Number of patients that arrive before noon is a qualitative variable is a quantitative variable is not a variable
Which of the following is a characteristic of quantitative data? A It focuses on subjective interpretations and opinions B It is collected through interviews and focus groups. C It can be easily represented using graphs and charts D) All of the above
The full question didn't fit in one part so I attached 2 photos.
I'm looking for help on the first 3 bullet points please.
1) The question screenshot attached down below answer all and just need final answer
The problem below asks you to compare 4 different forecasting methodologies to determine which forecasting model results in the most accurate forecasts. Accuracy is determined by the lowest mean absolute deviation. Emergency calls to the 911 system of Greenville County for the past 24 weeks are shown below. Accurate forecasts are needed to determine the number of operators needed to staff the station. Week # of Calls 1 50 2 35 3 25 4 40 5 45 6 35 7 20 8 30 9 35 10 20 11 15 12 40 13 55 14 35 15 25 16 55 17 55 18 40 19 35 20 60 21 75 22 50 23 40 24 65 1. EXPONENTIAL SMOOTHING Compute the forecasts using α = .2. Calculate the MAD for weeks 4 through 24 only. Compute the forecasts using α = .6. Calculate the MAD for weeks 4 through 24 only. 2. SIMPLE LINEAR REGRESSION Use all of the data, weeks 1 - 24, to calculate the…
Sections a and b please
14. The range is defined as the: a. variability of the data with reference to extreme scores. b. the variability of the data with reference to the mean. c. variability of the data in terms of how many subjects achieved each value of the variable. d. SS/n

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