Exhibit 13-21 Source of Variation Between Groups (Treatment) 6,000.0 Within Groups (Error) Total Sum of Squares 41 142 143 144 145 O 441-42-...-1420 о 11-12-13-14 441 142 143 144 Degrees of Mean Freedom Square 41 142 143 M4 M5 M6 5 24 29 1,200 Refer to Exhibit 13-21. The null hypothesis for this ANOVA problem is 288 F
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- M2 STAT 1811 (Section 20) (page 14 of 35) - Google Chrome eam.squ.edu.om/mod/quiz/attempt.php?attempt=D1894453&cmid%38898478&page=13 JE-LEARNING SYSTEM (ACADEMIC) Susiness Statistics 1 (section20) || spring21 Question 14 If Xo and X1 are two numbers with Xo F(X1) Z Flag question O C. F(Xo) = F(X;) O D. F(Xo) < F(X1) PREVIOUS PAGE Type here to search ULL AD 1080 acerSuppose you were trying to determine if there was a difference in the means of 4 different groups, and instead of using an ANOVA test, you decided to carry out 6 separate 2-sample t-tests to compare every possible combination of groups and you set the Type I error rate as a = 0.05on all of those tests. Use this information and calculate the familywise Type I error rate for this scenario. Make sure to round your answer to 3 decimal places. For example, if you thought the answer was 0.12345 then you would type in 0.123.what tells us if the variance for groups is similar enough to run through anova
- Suppose we want to compare the length of stay(in days) in the hospital for patients with same diagnosis at two different hospitals. We randomly selected 11* such patients for 1st hospital and 13 such patients at the second hospital and recorded their length of stay (in days). The results for these independent populations are shown as follows: *Fixed the typo, was not ten patients at 1st hospital but 11 per the count of data below for first hospital. Nothing else was changed, but the item with * on it in above paragraph. 1st Hospital: 21, 10, 32, 60, 8, 44, 29, 5, 13, 26, 33 2nd Hospital: 86, 27, 10, 68, 87, 76, 125, 60, 35, 73, 96, 44, 238 Use appropriate nonparametric test at alpha of 0.05 for testing whether the lengths of stay are the same for patients of same diagnosis.Suppose we want to compare the length of stay(in days) in the hospital for patients with same diagnosis at two different hospitals. We randomly selected 11* such patients for 1st hospital and 13 such patients at the second hospital and recorded their length of stay (in days). The results for these independent populations are shown as follows: *Fixed the typo, was not ten patients at 1st hospital but 11 per the count of data below for first hospital. Nothing else was changed, but the item with * on it in above paragraph. 1st Hospital: 21, 10, 32, 60, 8, 44, 29, 5, 13, 26, 33 2nd Hospital: 86, 27, 10, 68, 87, 76, 125, 60, 35, 73, 96, 44, 238 Use appropriate nonparametric test at alpha of 0.05 for testing whether the lengths of stay are the same for patients of same diagnosis. step 0-5Suppose you randomly select a sample of 16 observations from a population with �=11 attached in ss below thanks for help agoajgr r
- Which does not belong to the group? regressand explained independent predicted variableif there are 5 groups, the null hypothesis for the one-way ANOVA is ?Suppose you were trying to determine if there was a difference in the means of 4 different groups and instead of using an ANOVA test you decided to carry out 6 separate 2 sample t-tests to compare every possible combination of groups and you set the type 1 error rate as a=0.03 on all of those test Use this information and calculate the familywise type 1 error rate for this senerio Round answer to three decimal places
- #Original immigrant datax = c(61159, 57524,56186,52254,54884,51869,29743,39877,50086,53672,65707,73861) #Age of labor dataage_over_16 = x*0.95 #Illegal immigrant data of employede1 = age_over_16*0.65 #Illegal immigrant data of unemployede2 = age_over_16*0.04 #Illegal immigrant data of Not in the labor forcee3 = age_over_16*0.30 What linear regression model should I use in R? Thanks.#Original immigrant datax = c(61159, 57524,56186,52254,54884,51869,29743,39877,50086,53672,65707,73861) #Age of labor dataage_over_16 = x*0.95 #Illegal immigrant data of employede1 = age_over_16*0.65 #Illegal immigrant data of unemployede2 = age_over_16*0.04 #Illegal immigrant data of Not in the labor forcee3 = age_over_16*0.30 What linear regression model should I use in R? And how to draw the linear regression graph based on this model? Thanks.The number of planes to arrive at the Dubai International Airport over N days were recorded and inputted into MINITAB for analysis. Exhibit 1 was subsequently generated. Exhibit 1 Stem-and-Leaf Display: No. of Arrival Leaf Unit = 1 N =* 5 2 01123 10 2 56899 ** 3 0001123 (***) 3 6666678888 12 4 01134 7 4 57789 2 5 00 Find the value of the Mode