The ANCOVA confirmed that the antimicrobial dose response was paralleled between the two bacterial species S.
Q: Consider the following regression equation specied for 2-period panel data: where i = 1; 2; :::N…
A: Given β_1 is positive, but the correlation between Δx_i and Δu_i is negative, thenwhat is the bias…
Q: Consider a simple linear regression model with one predictor variable X and one response variable Y.…
A: Answer A coefficient of determination (R^2) of 0.25 means that 25% of the variance in the response…
Q: What is your conclusion regarding Ho? Ho. There sufficient evidence at the x = 0.05 level of…
A:
Q: sample of n = 20, you determine that SSR = 60 and SSE = 40. a) What is the value of F STAT ? b) At…
A:
Q: How do I find the critical value?
A: Given dataSignificance level α =0.05Right Tailed testDegrees of freedom is calculated by min(n1 – 1,…
Q: An oil brand claims that the average mileage with one gallon of their gasoline is 25mi. You recorded…
A: Given Sample size, n=10 Sample mean, x¯=23.7 t-critical value=0.822 α=0.10
Q: Subject Treatmen Gender Fam-Hist Age BP-Before-Exp BP-After-Exp D1 1 F PS 65 103.3 80.5 1 F 1 M D2 N…
A: A data can be raw or grouped, with some pro and cons associated with both of them. The raw data has…
Q: In a study of tooth paste, 40 children used paste without fluoride resulting in a mean of 5.65…
A: n1 = 40n2 = 40 x1 =5.65x2 = 4.75 s1 = 1.3s2 = 1.1
Q: The average student studies eight hours for a statistics exam and receives a grade of µ = 84. In a…
A: The random variable studying twelve hours follows normal distribution. We have to find the critical…
Q: The accompanying data on y-ammonium concentration (mg/L) and x = transpiration (ml/h) was read from…
A: Transpiration (ml/h), X Ammonium con. (mg/L), Y 47 62 62 53 65 67 70 84 70 79 78 93…
Q: s there a statistically significant difference between professors and rock stars in terms of…
A: Ps1 = .86 Ps2 = .92…
Q: T-Test Y_2002 Y_2004 Y_2005 Y_2006 Y_2007 N One-Sample Statistics 4 .94550 4 .86850 4 .68700 4…
A: SPSS output is given.
Q: A survey of 28 employed workers found that the correlation coefficient between the number of years…
A: Solution: a. State the hypotheses. Null hypothesis: That is, there is no relationship between…
Q: What is the difference between the critical value of z and the observed value of z?
A: Given that The difference between the critical value of z and the observed value of z is described…
Q: 4. From the regression equation, what is the predicted coffee sales value (in dollars) when the…
A: The provided linear regression model is, y^=2516.78-10.49x
Q: 1. Test a hypothesis the average age of transition to parenthood in the U.S. is different from what…
A:
Q: The table below presents the results of the test. 1) the researchers decide to use a 70-ms cutoff…
A: Hi! Thank you for the question. As per the honor code, we are allowed to answer 1 question at a…
Q: The city council is considering a law that would ban the use of plastic bags, straws, and eating…
A: Observed Expected (O-E)^2 (O-E)^2/E 36 26.4 92.16 3.490909 12 21.6 92.16 4.266667 19 28.6…
Q: In a data set with 12 observations, you try fitting two regression models. The esti- mated models…
A: To calculate R2 for both models, we first need to calculate the total sum of squares (SST), which is…
Q: 10. You are in charge of assessing different training methods for effectivness. You have data on 4…
A: Given: Method 1: X¯1=87, n =12 Method 2: X¯1=92, n =14 Method 3: X¯1=88, n =15 Method 4: X¯1=75, n…
Q: Comparing Two Samples Again. Compare the scores on Test 1 to the scores on Test 2 for College…
A: The objective is to perform a two-sample t-test by comparing the scores on Test 1 to the scores on…
Q: The recommended daily dietary allowance for zinc among males older than age 50 years is 15 mg/day.…
A: Givensample size(n)=115Mean(x)=12.7standard deviation(s)=6.77significance level(α)=0.05
Q: Consider the following unobserved effects model: Yit =B₁ xit1 +...+ßk¤itk + ai + Uit You plan on…
A: The model is given by:
Q: Let’s say you are going to use a z-test to test H0: mean=413 vs Ha: mean≠ 413 at the alpha=0.05…
A: State the hypotheses.
Q: for: Ý; = 18, 2 + 2, 16X;, se(ß1) = 4, 28, se(B2) = 1, 28 and 6 = 16.04 estimated. According to this…
A: Given model is: Yi^=18.2+2.16×XiSe(β1^)=4.28Se(β2^)=1.28σ^2=16.04
Q: Ride services are on the rise, such as Uber and Lyft. You wondered if the recent news reports of…
A: On comparing the ride services between male and female, let us draw a table: Service Pop.…
Q: Breastmilk and Antioxidants. There is convincing evidence that breastmilk containing antioxidants is…
A: a. identify the variable: The variable is antioxidant capacity
Q: 9.48) Acid gases must be removed from other refinery gases in chemical production facilities in…
A:
Q: What is the observational study design used in the study
A: Given information: Given study has the leading objective of determining the intensity of how the…
Q: The least-squares regression line for predicting y = clutch size from x = snout-vent length is =…
A: Standard Error: The standard error of the regression is the absolute measure of the typical distance…
Q: A researcher was interested in investigating whether the parent-child interaction time (in hours) is…
A: Hi! Thank you for the question, As per the honor code, we are allowed to answer three sub-parts at a…
Q: a hypothesis test in
A: Null hypothesis H0:ρ=0 Alternative hypothesis H1:ρ<0 test statistics is t* = rn-21-r2 ~ tn-2 at…
Q: To increase the adhesiveness of a certain rubber product, an experiment was conducted. Sixteen…
A: The random variable is adhesiveness of a rubber product. There are two cases which are additive and…
Q: A psychologist would like to examine the effects of different testing methods on the final…
A: The totals are T1=20,T2=12,T3=4 and G=36,∑X2=164.
Q: For the model Y = Bo + B1X1 + B2X2 + B3X3 + B4X4 + ɛ. When testing Ho: B3 = 0 vs. Hai B3 # 0 at a =…
A: There are 4 independent variables. The dependent variable is Y. We have to test for significance of…
Q: You are interested in the relationship between firm revenues and CEO age in Vietnam. The population…
A: The question is about regression.Given :t value of "ceoage" ( t ) = 0.41p value of "ceoage" = 0.681
Q: 27. Lower Limb Surgery. The study "Intrathecal Sufentanil ver- sus Fentanyl for Lower Limb…
A: Consider that the mean and standard deviation of a random variable X are µ and σ, respectively.…
Q: RCT was conducted to evaluate efficacy and safety of drug simvastatin compared to placebo in…
A: It is given that: Treatment Type Death from to heart attack Total no. of subjects Placebo 63…
Q: Determine whether there is a significant difference between the two methods at a=0.05. Derive the…
A: For the given Data , we need to calculate mean and standard deviations for both the methods For…
Q: The decline of salmon fisheries along the Columbia River in Oregon has caused great concern among…
A: Given data: Sample size= 10 Confidence level= 95%
Q: Researchers examined the relationship between two quantitative variables, x and y. we aim to express…
A: Since you have posted a question with multiple sub-parts, we will solve first three subparts for…
Q: True or False: Explain Suppose that OLS is unbiased for the following bivariate model: Y = B0 +B1X…
A: The correct answer is false.
Q: Regression Model A: OLS (from R) Coefficients: (Intercept) age educ2 sex smoke Estimate Std. Error t…
A: As per our guidelines I can solve only first three subparts. Kindly post the remaining subparts…
I am having trouble interpreting what this statitical results are saying.
"the summary of antimicrobial effects on bacterial reduction" The ANCOVA confirmed that the antimicrobial dose response was paralleled between the two bacterial species S. Typhimurium and E. faecium, and the interaction between antimicrobial concentrations and bacterial species was not significant (P > 0.05). Only antimicrobial concentrations of hydrogen peroxide and paracetic acid showed significant ( P < 0.05) reduction on S. Typhimurium and E. faecium on squash.
Step by step
Solved in 2 steps
- Find the z-score that defines α=0 .05 and α=.01 critical regions for a one-tail test? 8. Find the z-score that defines α=0 .05 and α=.01 critical regions for a two-tail test?You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n=18, you determine that SSR = 80 and SSE = 40. Complete (a) through (c). a. What is the value of FSTAT? C FSTAT (Round to the nearest integer as needed.) b. At the a= 0.05 level of significance, what is the critical value? The critical value is. (Round to two decimal places as needed.) c. Based on your answers to (a) and (b), what statistical decision should you make? OA. Do not reject Ho. There is evidence that the fitted linear regression model is not useful. B. Reject Ho. There is evidence that the fitted linear regression model is useful. OC. Reject Ho. The critical value of F is larger than FSTAT OD. No decision can be made because the sample size is too small.In a company introducing a new product on the market it was decided to build a model explaining the dependence of the sales volume Y (in thousands of units) on the tested price of the product X_1 (in PLN) and expenditure on promotion and advertising of the product X_2 (in thousands of PLN). Based on the data given in the table below Xt2 20 X+1 Yt 15 16 20 19 30 22 31 23 35 25 30 correlation coefficients between variables were calculated and obtained [-0, 98 0,86. Ro = - vector of correlation coefficients of the endogenous variable with potential explanatory variables, 1 -0,9 - matrix of correlation coefficients between pairs of potential explanatory variables. R= -0,9 Find: (e) Interpret the results obtained Use Excel or MatLab or other. 987 655
- The statsmodels ols() method is used on an exam scores dataset to fit a multiple regression model using Exam4 as the response variable. Exam1, Exam2, and Exam3 are used as predictor variables. The general form of this model is: If the level of significance, alpha, is 0.10, based on the output shown, is Exam1 statistically significant in the multiple regression model shown above? Select one. A text version of this output is available. OLS Regressin Results Dep. Variable: Model: Method: R-squar ed: Adj. R-squared: F-statistic: Prob (F-statistic): Log-Likelihood: AIC: 0.178 0.125 3.329 0.0276 -169.85 347.7 355.4 Exam4 OLS Date: Time: No. Observations: Least Squares Sun, 18 Aug 2019 10:59:12 Df Residuals: of Nodel: Covarianco Тура: 50 46 3 nonr obust BIC: Coef std err P>|t| [0.025 0.975) t Intercept Examl Exam2 Exam3 46.2612 0.1742 0.1462 0.0575 10.969 0.120 0.078 0.053 4.217 1.453 1.873 1.085 0.000 0.153 0.067 0.284 24.181 -0.067 -0.011 -0.049 68.341 0.416 0.303 0.164 Onnibus: 0.886 0.642…Bivariate data obtained for the paired variables x and y are shown below, in the table labeled "Sample data." These data are plotted in the scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is y = 14.87+0.88x. In the "Calculations" table are calculations involving the observed y-values, the mean y of these values, and the values y predicted from the regression equation. Sample data Calculations 160+ x y (x-1)² (-5)² (v-^^)² 150+ 107.2 110.7 396.0100 457.7032 2.2320 122.0 130.3 140- 0.0900 70.0569 65.1249 131.5 122.1 130- 72.2500 0.0001 72.0801 142.5 129.9 120. 0.4900 93.5089 107.5369 152.5 160.0 110- 864.3600 341.1409 119.4649 Send data to Excel LL 130 130 140 150 160 Column sum: 1333.2000 Column sum: 962.4100 Column sum: 366.4388 Figure 1 Answer the following. (a) The least-squares regression line given above is said to be a line that "best fits" the sample data. The term "best fits" is used because the line has an…Students who complete their exams early certainly can intimidate the other students, but do the early finishers perform significantly differently than the other students? A random sample of 37 students was chosen before the most recent exam in Prof. J class, and for each student, both the score on the exam and the time it took the student to complete the exam were recorded. a. Find the least-squares regression equation relating time to complete (explanatory variable, denoted by x, in minutes) and exam score (response variable, denoted by y) by considering Sx = 15, sy = 17,r = 39.706, x = 90, ỹ = 78 b. The standard error of the slope of this least-squares regression line was approximately (Sp) is 20.13. Test for a significant positive linear relationship between the two variables exam score and exam completion time for students in Prof. J's class by doing a hypothesis test regarding the population slope B1. Write the null and Alternate hypothesis and conclude the results. (Assume that…
- widely used as dielectrics and coolants in electrical systems in the past. They were found to be a major environmental contaminant in the 1960s. In a study, the mean PCB content at each of thirteen sites was reported for the years 1982 and 1996 (from “The ratio of DDE to PCB concentrations in Great Lakes herring gull eggs and its use in interpreting contaminants data”, Journal of Great Lakes Research 24 (1): 12-31, 1998). The data are below.Site:12345678910111213198261.4864.4745.5059.7058.8175.9671.5738.0630.5139.7029.7866.8963.93199613.9918.2611.2810.0221.0017.3628.207.3012.809.4112.6316.8322.74(a) Which test would be more appropriate in this case: a t-test for the difference between two population means, or a paired t-test? Why?(b) Do the data provide sufficient evidence to support the claim that the mean PCB level has decreased in the region? Be sure to check all assumptions, write the null and alternative hypotheses, calculate the appropriate test statistic, calculate the p-value,…Albumin is a liver protein that helps circulate vitamins throughout the body. Reduced Albumin has been associated with severe illness with Covid-19 patients. Suppose we wanted to conduct a study to compare the mean Albumin concentration (g/L) between a sample of adult patients hospitalized for Covid 19 (Sample Mean= 32.8, s=6.0) to the mean albumin concentration (g/L) of healthy adults (u=34.1, o=7.13). How many patients would need to enroll from the hospital to conduct this study with 99% confidence, and 80% power? A. 267 B. 120 C. 352 D. 225A process engineer is trying to improve the life of a cutting tool. He has run a 2³ experiment using cutting speed (A), metal hardness (B), and cutting angle (C) as the factors. The data from two replicates are shown in Table 13E.2. (1) Calculate the main effects of A, B, C, and all interaction effects. (2) Do any of the three factors affect tool life? Make an ANOVA table and draw conclusion from the F-values with α = 0.05. (3) What combination of factor levels produces the longest tool life? ■ TABLE 13E.2 Data for the Experiment in Exercise 13.2. Replicate Run I II (1) 221 311 a 325 435 b 354 348 ab 552 472 с 440 453 སྣ་ ནྟི 406 377 bc 605 500 abc 392 419
- A multiple linear regression model was fitted to explain a response variable using three predictor variables X1, X2, X3. The p-values of the t-tests for the explanatory variables were 0.0228, 0.0513 and 0.0116 respectively; while the computed value of F-ratio test was greater than the critical value. At 5% level of significance, we can conclude that Select one: O a. X₂ is useful in explaining the response variable O b. Among the three predictors, X3 is the most significant predictor. O c. All the regression coefficients corresponding to the predictor variables are not equal to zero. O d. There is a significant linear relationship between response and set of predictor variables.The authors of the paper "Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement"† compared two different instruments for measuring a person's ability to breathe out air. (This measurement is helpful in diagnosing various lung disorders.) The two instruments considered were a Wright peak flow meter and a mini-Wright peak flow meter. Seventeen people participated in the study, and for each person air flow was measured once using the Wright meter and once using the mini-Wright meter. Subject Mini-WrightMeter WrightMeter Subject Mini-WrightMeter WrightMeter 1 512 494 10 445 433 2 430 395 11 432 417 3 520 516 12 626 656 4 428 434 13 260 267 5 500 476 14 477 478 6 600 557 15 259 178 7 364 413 16 350 423 8 380 442 17 451 427 9 658 650 (a) Suppose that the Wright meter is considered to provide a better measure of air flow, but the mini-Wright meter is easier to transport and to use. If the two types of meters produce…Perform an independent-sample t-test in SPSS to determine if the diet type (Variable 'diet'- diet type: meat eater and vegetarian) influence the pulse rate when running (Variable 'stage 3'-pulse running). Specifically, you want to know whether meat eaters have significantly higher pulse rate (stage 3: pulse running) than vegetarians. Use α = .05 The dependent variable is
