c-1. Calculate the value of the test statistic. (Round the intermediate calculations to at least 4 decimal places and final answer to 3decimal places.)Test Statistic6.240c-2. Conduct the test at the 5% significance level and make a conclusion.Reject Ho: Income and Happiness are dependentReject Ho: Income and Happiness are not dependentDo not reject Ho: Income and Happiness are dependentDo not reject Ho: Income and Happiness are not dependent There have been numerous attempts that relate happiness with income. In a recent survey, 290 individuals were asked to evaluatetheir state of happiness (Happy or Not Happy) and income (Low, Medium, or High). The accompanying table shows shows a portion ofthe data. (You may find it useful to reference the appropriate table: chi-square table or Ftable)pictureClick here for the Excel Data FileIndividual12290Not Happya. Use the data to construct a contingency table.StateIncomeLowHighHighHappyNot HappyLow (L)StateHappyHappy4458IncomeMedium (M)50039High (H)4950

The contingency table is, State Income…

Answered: There have been numerous attempts that…

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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Below are numbers of hours that a sample of 19 college graduates reported working last week. 50, 58, 57, 52, 41, 38, 46, 53, 58, 68, 48, 52, 57, 65, 44, 62, 47, 42, 63 Send data to calculator Send data to Excel Using the tool provided, construct a box-and-whisker plot (sometimes called a boxplot) for the data. ? +++++D 50 55 60 65 70 35 40 45 Number of hours worked
The data in the accompanying table represent the length of life, in years, measured to the nearest tenth, of 30 similar fuel pumps. Complete parts (a) through (c) below. Click the icon to view the fuel pump data. (a) Construct a stem-and-leaf plot for the life in years of the fuel pumps, using the digit to the left of the decimal point as the stem for each observation. Stem Leaf Frequency Get more help. Fuel Pump Life Spans 2.4 3.3 0.4 3.1 1.3 0.2 0.5 5.6 5.9 6.2 0.5 2.4 1.4 4.3 6.3 1.7 4.9 0.2 4.6 0.4 1.5 0.5 2.3 4.8 1.0 5.6 5.9 6.0 1.2 0.2 Print Done -X eck answ
Which of these can help you visualize data? Select all that apply. O bank statement O circle graph O spreadsheet O table O bar graph
Please solve and explain #2
The boxplot shown below results from the heights (cm) of males listed in a data set. What do the numbers in that boxplot tell us? 151 172.5 192 168.5 182.6 A boxplot consists of a box that extends from 168.5 to 182.6, a vertical line segment drawn through the box at 172.5, and a horizontal line segment extending from a vertical line segment at 151 to a vertical line segment at 192 that bisects the box. Question content area bottom Part 1 The minimum height is enter your response here cm, the first quartile Q1 is enter your response here cm, the second quartile Q2 (or the median) is enter your response here cm, the third quartile Q3 is enter your response here cm, and the maximum height is enter your response here cm. (Type integers or decimals. Do not round.)
use kaleidagraph to answer all the questions
Please anwser using SPSS!
Use the example of temperature and the amount of ice cream sold in a city each day, we are interested in creating an equation that will allow us to predict the amount of ice cream that are sold in the future simply by knowing temperature. (Please fill out the red blanks with appropriate numbers randomly.) a. Construct a scatter plot of the data. What should the independent variable be? Why? b. Find the values and discuss what the following mean in context.i. The slope of the regression equationii. The y-intercept of the regression equationiii. The correlation riv. The coefficient of determination r2. c. Do the data provide convincing evidence that there is a linear relationship between temperature and the amount of ice cream Carry out an appropriate test at a significance level of 0.05 to help answer this question.
Show work and appropriate explanation please.
(Multiple choice) Histograms can have a bell/normal shape or they can be skewed either positively or negatively. Which of the following variables is most likely to follow a bell/normal shape when graphed?

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