Using T test determine if test agent causes significant inhibition of colony formation. Show full working FileHomeInsertDrawPage LayoutFormulasDataReviewViewHelpGenev 11- A Av >T vCalibriCraPasteВ IU v.00UndoClipboardFontAlignmentNuV:X v fxAEbar chartconcentration (nM)controlv count 1count 2 count 3 -mean count standard deviation60756566.666666677.6376261581466050527.2111025511054624854.666666677.0237691695017201818.333333331.52752523280706040cell count17 A Aav三。三。《、田、↓ TNormalParagraph8070602010control11050Concentration (nM)Figure 2. Effects of varied Antitumor benzothiazole concentrations onMCF-7 cell numbers. Cells (2 x 104 cells/well) were seeded in 6 wellplates and incubated overnight before treatment with TMZ at 1, 10,and 50 µM (72 h). Cells were harvested and counted byhaemocytometer.Accessibility: Investigateа%23Average cell count

Given the data as concentration count 1 count 2 count 3 mean count standard deviation control…

Answered: Using T test determine if test agent…

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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What is the minimum information that you need to calculate an n^2 effect size from a reported independent samples t test? a. s_(1 )^2, s_2^2 and n_1, n_2b. t and dfc. The M_1 - M_2 value and s_pd. None of the above My answer: B Professor wrote please explain your answer?
Can you please explain where the critical value and rejection region came from? I attached the question as well. I just need an understanding of where the critical value and rejection came from, please break it down for me because I can't figure it out, thanks. I circled it in blue
find the minimum for the upper quartile
Find the least-squares regression line y^=b0+b1x through the points (−1,2),(1,8),(6,13),(7,19),(10,23), and then use it to find point estimates y^ corresponding to x=1 and x=8 For x=1, y^ = For x=8, y^ =
For a hypothesis test of the claim that the mean amount of sleep for adults is less than 6 hours, technology output shows that the hypothesis test has power of 0.4733 of supporting the claim that μ<6 hours of sleep when the actual population mean is 4.0 hours of sleep. Interpret this value of the power, then identify the value of β and interpret that value.
Define Least Squares Regression Unbiased Estimators α^, β^, σ^²?
please consider the following data on Y and X for the following questions Let's say you are to estimate the equation, Y = α + β X + ε *rounding your answer* using ordinary least squares Y X 10 12 14 22 36 56 1)What is the OLS estimate of β? 2) What is the OLS estimate of α ? 3) What is the forecasted value of Y when X = 5 ? 4) What does the estimated value of α indicate? 5) What does the estimated value of β indicate?
The decline of salmon fisheries along the Columbia River in Oregon has caused great concern among commercial and recreational fishermen. The paper 'Feeding of Predaceous Fishes on Out-Migrating Juvenile Salmonids in John Day Reservoir, Columbia River' (Trans. Amer. Fisheries Soc. (1991: 405-420) gave the accompanying data on y = maximum size of salmonids consumed by a northern squaw fish (the most abundant salmonid predator) and x = squawfish length, both in mm. Here is the computer software printout of the summary: Coefficients: Estimate Std. Error t value Pr(> |t|) (Intercept) −89.010 16.703 −5.329 0.000 Length 0.705 0.046 15.293 0.000 Using this information, give the equation of the least squares regression line.
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
(a) A research has been conducted an experiment to compare the deflection (um) between two types of material for cutting tool in milling machining process. About 30 samples of cutting tool for material A and 30 of cutting tool for material B has been used for during the test. Table 2(a) shows several descriptive statistics represent the data of tensile strength. 2 Table 2 (a) Descriptive statistics for deflection (um) Material Number Minimum Q1 median Q3 Маximum of value value specimen A 30 0.462 3.453 6.415 8.548 13.599 В 30 0.2 2.037 4.157 7.716 15.491 (i) Plot a box plot based on recorded data given in Table 2(a) (ii) Based on the box plot, which material of cutting tool is have better performance?State your reason (ii1) Suppose that material A produce deflection of 4.4 µum. The data is wrongly recorded as 44 um. What you can interpret about the box plot? (iv) Calculate the value of IQR for both materials
Do i need to manually add time dummy variables when using proc panel in SAS? Or does it automatically account for it? For example, assuming a balanced equation, if my population model is y_it = alpha_t + x1_it + x2_it + c_i + u_it; where alpha_t is our our time dummy variables for each time period.

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