It occurs when cases are lost from a sample over time or over a series of the sequential processes. Testing effect Loss of complexity Attrition effect Maturation effect
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A: Data values11.9411.7412.2511.3211.8511.8611.5911.3212.1511.7611.5512.3112.59
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- It occurs when cases are lost from a sample over time or over a series of the sequential processes.
- Testing effect
- Loss of complexity
- Attrition effect
- Maturation effect
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- Analysis of Variance results: Where: Age > 5Responses: AgeFactors: Sex Response statistics by factor Sex n Mean Std. Dev. Std. Error female 121 10.490083 4.2222704 0.38384277 male 155 9.0806452 3.0091656 0.241702 ANOVA table Source DF SS MS F-Stat P-value Sex 1 134.98939 134.98939 10.466692 0.0014 Error 274 3533.79 12.897044 Total 275 3668.7794 Tukey HSD results (95% level) female subtracted from Difference Lower Upper P-value male -1.4094375 -2.2670907 -0.55178425 0.0014 In one complete sentence, interpret your confidence interval. Make sure in the interpretation it is clear the direction of the difference (i.e. which gender weighs more and by how much. Explain why a confidence interval provides more information to a tiger researcher than the results of a hypothesis testDegrees of Sum of Source Freedom Squares Square (Variance) Among c-1=? SSA=? MSA = 69 Consider an experiment with three groups, with nine values in each. For the ANOVA summary table shown to the right, fill in all Within the missing results. groups groups Total n-c=? SSW = 552 n-1=? SST = ? Complete the ANOVA summary table below. Degrees of Sum of Source Freedom Squares Among groups c-1= SSA= Within groups n-ca Total n-1= (Simplify your answers.) SSW = 552 SST Mean Square (Variance) MSA = 69 MSW= Mean MSW = ? F FSTAT F FSTAT = ? ***Question Help ▼ In a study, researchers wanted to measure the effect of alcohol on the hippocampal region, the portion of the brain responsible for long-term memory storage, in adolescents. The researchers randomly selected 23 adolescents with alcohol use disorders to determine whether the hippocampal volumes in the alcoholic adolescents were less than the normal volume of 9.02 cm. An analysis of the sample data revealed that the hippocampal volume is approximately normal with no outliers and x= 8.05 cm and s = 0.7 cm. Conduct the appropriate test at the a= 0.01 level of significance. State the null and alternative hypotheses. Ho: H1: p (Type integers or decimals. Do not round.) Identify the t-statistic. = (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) Make a conclusion regarding the hypothesis. V the null hypothesis. There V sufficient evidence to claim that the mean hippocampal volume is cm3 Enter your answer in…
- Using positional statistics describe the structure of the monthly turnover of 80 shops [in thousand PLN]Calculate and interpret: median, quartiles, deciles, quartile deviation, positional coefficient of variation, positional coefficient of asymmetry, and positional coefficient of concentration. Perform all calculations for the following data type: interval grouped data. 51 27 51 59 29 24 44 42 47 24 76 73 68 41 49 47 48 54 49 66 35 34 18 51 62 45 55 43 71 37 52 60 34 67 58 55 69 61 62 60 47 51 75 41 48 26 26 62 55 34 26 67 52 47 34 51 67 57 57 58 51 57 57 55 41 53 48 14 49 79 46 69 72 75 26 59 44 69 69 68Part 1 Every 12 hours, 105 parts are randomly sampled and the # of defective parts (out of 105), is recorded. Results from 16 samples: Sample # Defects 1 8 2 5 3 1 4 6 4 10 6 2 567 00 8 Sample # Defects 9 10 11 12 13 14 15 16 5 7 0 3 9 6 4 8 1. What is the value of the statistic plotted for sample 16? 2. n = k= 3. What are the control limits for the most appropriate control chart?step by step with fomula
- A biologist wants to determine if different temperatures (15oC, 25oC, or 35oC) and amounts of sunlight (partial or full) will affect the growth of plants. He will test each combination of temperature and sunlight by randomly assigning 15 plants to each of the combinations. What type of sampling is described in this study? one sample paired data two samples more than two samplesapter 10) Post-Class A consumer advocate researches the length of life between two brands of refrigerators, Brand A and Brand B. He colle (measured in years) on the longevity of 40 refrigerators for Brand A and repeats the sampling for Brand B. These data in years. (You may find it useful to reference the appropriate table: z table or t table) Brand A Brand B Brand A Brand B 17 16 23 24 18 22 14 16 14 24 17 18 19 18 20 22 19 19 22 18 24 19 14 12 14 16 22 23 22 18 24 21 23 19 12 20 19 13 18 15 13 23 17' 19 15 23 16 16 21 16 14 19 12 21 22 14 21 24 24 12 P 15 12 12 20 15 16 12 19 24 21 20 20 13 15 19 21 14 20 14 Click here for the Excel Data File Saved Assume that μ₁ is the mean longevity for Brand A and 2 is the mean longevity for Brand B. a. Select the competing hypotheses to test whether the average length of life differs between the two brands. O He: H1 - H₂ = 0; HA: M1 - µ2 * 0Statistics students in Oxnard College sampled 11 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (x) Cost(y) 724 122.6 379 61.85 782 112.3 250 48.5 390 61.5 574 100.1 325 60.75 894 131.1 396 74.4 450 76.5 827 133.05 A student calculates a linear model (Please show your answers to two decimal places) y = Use the model to estimate the cost when number of pages is 992. x + Cost = $ (Please show your answer to 2 decimal places.)
- Class Frequency 8-12 13-17 14 18-22 10 23-27 4 28-32 The 75th percentile of the data presented in the table above is O a. 19 O b. 22 O c. 18.5 O d. 20 О е. 21Percent Obese by State Computer output giving descriptive statistics for the percent of the population that is obese for each of the 50 US states, from the USStates dataset, is given in the table shown below. Since all 50 US states are included, this is a population, not a sample. Variable Mean StDev Minimum Q1 Median Q3 Мaximum Obese 50 31.43 3.82 23.0 28.6 30.9 34.4 39.5 Click here for the dataset associated with this question.3.Which model do you think is the “best” reduced model? Discuss why you choose this model. Analysis of Variance Table (Step back model) Response: rent Df Sum Sq Mean Sq F value Pr(>F) age 1 21000 21000 17.1136 0.0003079 *** sqft 1 35364 35364 28.8196 1.134e-05 *** sd 1 5961 5961 4.8576 0.0362339 * unts 1 8678 8678 7.0722 0.0130049 * gar 1 33364 33364 27.1899 1.713e-05 *** cp 1 7641 7641 6.2269 0.0189934 * Residuals 27 33131 1227 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Step forward model: Response: rent Df Sum Sq Mean Sq F value Pr(>F) age 1 21000 21000 16.6255 0.000406 *** sqft 1 35364 35364 27.9976 1.757e-05 *** sd 1 5961 5961 4.7191 0.039517 * unts 1 8678 8678 6.8705 0.014697 * gar 1 33364 33364 26.4144 2.599e-05 *** cp 1 7641 7641 6.0493 0.021176 *…