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- variance in hypothesis testing which is tricky to understand. Explain what this is in common terminology, without using statistical terms and jargon. What is it and why is it important?1 @ 2 Find the measures of center for following. Data 70-74 75-79 80-84 85-89 90-94 95 - 99 100 - 104 105 - 109 110-114 mode = median = mean = Frequency 2 0 Submit Question # 3 7 4 9 13 22 13 $ (round to 4 decimal places) %[STATISTICS] How do you solve this? Conclusion of confidence intervalThe data is given
- Gender and Frequency of Status Updates on Facebook The Pew Research Center conducted a survey of randomly sampled American adults, asking them about their use of social networking sites such as Facebook. The table below shows the self-reported frequency of status updates on Facebook by gender. Are frequency of status updates and gender related? chi-square statistic = i p-value = i Conclusion: ĮStatus/Gender Ho- Every day 3 - 5 days/week 1 - 2 days/week Every few weeks Less often Total Male Female Total 42 46 70 77 88 386 59 79 79 151 186 491 130 105 149 Round your answer for the chi-square statistic to one decimal place, and your answer for the p-value to three decimal places. 156 337 877 Table 1 Gender and frequency of status updates on FacebookWhat is a residual for a multiple regression model and the data that is used to create it? Select one. A statistic that is used to evaluate the significance of the multiple regression model A statistic that explains the relationship between response and predictor variables The predicted value of the response variable using the multiple regression model The difference between the actual value of the response variable and the corresponding predicted value (regression error) using the multiple regression modeltrue if the statement is absolutely true, otherwise if the statement is either true or false write false
- Coom O Launch Meeting Zoom O Launch Meeting Zoom Check Your Understanding Die x 711f0308264d0cbd87b76a#screenldx=D2 ng High intracranial pressure (inside the skull) typically is a a. How many false positives were there among these 189 people? Explain the meaning of a false positive for the person tested. result of an injury to the head and can be very dangerous. A screening test for high intracranial pressure was proposed many years ago, based on the data in the following observations. This simple and non-invasive test involves observing the retinal vein to see if it is pulsating. Pulsation is normal and so would be considered a negative test result. Pulsation Absent Pulsation Present Total (Positive Test) (Negative Test) High Intracranial Pressure (Condition Present) Normal Intracranial Pressure b. How many false negatives were there? Explain the meaning of a false negative for the person tested. 43 43 (Condition Absent) 18 128 146 Total 61 128 189 Sources: B.E Levin, "The Clinical…[STATISTICS - ANOVA Table] How do you solve this? The second picture includes the dataData on the cost (millions of dollars) and the running time (minutes) for films of a particular season are summarized in the computer output shown to the right and the plots below. Complete parts a and b Click the icon to view the plots. a) Check the assumptions and conditions for inference Select all that apply The residual plot and the scatterplot show consistent variability The scatterplot looks straight enough The residuals look random The residuals are nearly normal None of the assumptions and conditions for inference are satisfied. b) Find a 95% confidence interval for the slope and interpret it. m% confident that the cost of making longer movies (Round to two decimal places as needed. Use ascending order.) Dependent variable is: Budget(SM) squared-24.0% R s 25.12 with 20-2-18 degrees of freedom Variable Coefficient SE(Coeff) t-ratio P-value intercept -23.5882 Run Time 0.665602 0.2788 34.12 -0.69 0.4982 2.39 0.0282 at a rate of between and milion dollars per minute Plots 120 Run…
- ANOVA Tests and Independent & Dependent Variables COLLAPSE How are the treatments in an ANOVA test similar to independent and dependent variables? How are they different?What is a residual for a multiple regression model and the data that is used to create it? Select one. Question 3 options: A statistic that explains the relationship between response and predictor variables The predicted value of the response variable using the multiple regression model A statistic that is used to evaluate the significance of the multiple regression model The difference between the actual value of the response variable and the corresponding predicted value (regression error) using the multiple regression modelIt is claimed that the mean household size in the River Terrace neighbourhood is 3.5 persons. A random sample of 25 households is taken. What is the number of cases for this study 52 3.5 48 25 24
