1. An aquaponics system is a system in which fish and plants are grown together. Shane Ahrenswanted to know if tumbled glass could be used as a media in an aquaponics system. He grewkale in clay and glass (in mesh cups suspended in the water) and measured kale biomass.What is the null hypothesis?What is the alternative hypothesis?Calculate the sample mean and variance for each treatment and then calculate the t statistic anddegrees of freedom.Kale Biomass (mg)ClayGlass17.537.113.931.131.228.729.937.522.528.1MeanVariance(n, – 1)s², + (n2 – 1)s²2 ×n + n2 -2+n2d.f. =If you conduct this analysis in R, the output tells you the p-value = 0.042. What conclusion canyou make (i.e., accept or reject the null hypothesis)? Explain how you reached this conclusion.Write a sentence as you would for the results section of a paper.

"Since you have posted a question with multiple sub-parts, we will solve the first two subparts for…

Answered: 1. An aquaponics system is a system in…

Biochemistry

9th Edition

ISBN:9781319114671

Author:Lubert Stryer, Jeremy M. Berg, John L. Tymoczko, Gregory J. Gatto Jr.

Publisher:Lubert Stryer, Jeremy M. Berg, John L. Tymoczko, Gregory J. Gatto Jr.

Chapter1: Biochemistry: An Evolving Science

Section: Chapter Questions

Problem 1P

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Similar questions

The mean weight of loaves of bread produced at the bakery where you work is supposed to be 1 pound. You are the supervisor of quality control at the bakery, and you are concerned that new employees are producing loaves that are too light. Suppose you weigh an SRS of bread loaves and find that the mean weight is 0.975 pound. What are the appropriate hypotheses for performing this significance test? Ho : x = 1; H. : x < 1 where i = the sample mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : µ < 1 where u = the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : µ < 1; H, : H = 1 where u = the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : p = 0.975 where u= the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : u # 1 where u= the true mean weight (in pounds) of bread loaves produced at the bakery.
The heritability of the content of a defence compound, sideroxylonal, in Eucalyptus melliodora leaves is 0.8. A breeding population is selected from a common garden experiment. The overall mean was 20 milligrams per gram of dry weight (mg.g-1 dw), but the selected parents had an average of 35 mg.g-1 dw. Question= The expected mean concentration (in mg.g-1 dw) of the offspring of these breeders is??
You repeatedly draw samples ofn= 100 from a population with a mean of 75 and a standard deviation of 4.5. What sample mean corresponds to az-score of 2.00?
Compare the 95% confidence interval for the difference between two true means with the 95% confidence interval for an individual true kean. Describe one way in which these two equations are similar and state four ways in which these equations differ.
I'm needing help with part 1 through 3, please The data of Sugar Water and Plain Water: mean # of drops variance degrees of freedom t stat t crit (from the table) plain water 25.3 17.221 38 -4.01 2.0261 sugar water 21.3 21.256 1. Make a statement about t stat in relation to t crit. And what is the p-value? 2. Is there a statistically significant difference between the mean values (mean # of drops) of the sugar and plain water? Give your "yes" or "no" answer and the supporting evidence. 3. Hypothesis: The surface tension of plain water is higher than the surface tension of sugar water. Do these results support or refute the hypothesis about the effect of dissolving salt in water on surface tension?
Consider the variables: A, B, C, D, E, F, G, and H. A and B, B and C, C and D are directly related while D and E, E and F, F and G, and G and H are inversely related. If an initial increase occurs in the value of A, the value of H will a. decrease b. increase c. stay the same d. cannot predict from the given information
Provide an example of a research project in your hometown where you would choose to use a t-test for independent samples. Would you use a one-tail or two-tail test, and why? What is your null hypothesis and research hypothesis? If you have a sample size of 500, should you interpret the statistical significance or the effect size?
What does it mean when your data/population conforms to Hardy-Weinberg Equilibrium?
All the following are methods used in.18 probability samples except one a. Simple random sampling O b. Systematic sampling c. Stratified sampling d. Snow ball sampling O
e. What is your p value? f. What is your conclusion? Is this population in Hardy Weinberg equilibrium or not?
Part 3 Perform a chi-square analysis using the given data and the chi-square table of values and probability below. Degrees of freedom 1 2 3 4 5 p = 0.99 0.000157 0.020 0.115 0.297 Part 4 0.554 Between 0.05 and 0.2 Between 0.01 and 0.05 Between 0.5 and 0.8 O Between 0.2 and 0.5 0.95 0.00393 0.103 0.352 0.711 1.145 0.80 What is the p-value from your chi-square analysis? 0.0642 0.446 1.005 1.649 2.343 0.50 0.455 1.386 0.20 3.357 0.05 1.642 3.841 3.219 5.991 0.01 6.635 2.366 4.642 7.815 5.989 9.488 4.351 7.289 11.070 15.086 No, the difference between observed and expected is likely not due to chance. Yes, the difference between observed and expected is likely due to chance. No, the difference between observed and expected is likely due to chance. Yes, the difference between observed and expected is likely not due to chance. 9.210 11.345 13.277 Assume your null hypothesis was that observed and expected are not different from each other. Can you reject the null hypothesis?
Which is the correct equation for the chisquare statistic? Group of answer choices a)x^2 = [(observed-expected)^2]/expected b)x^2 = sum[((observed-expected)^2)/observed] c)x^2 = sum[((observed-expected)^2)/expected] d)x^2 = sum[(observed-expected)/expected] What is a "p-value"? Group of answer choices a)the threshold at which you will reject the null hypothesis b)the probability of the null hypothesis being false c) the percentage of days you are sick during the year d) the probability of the null hypothesis being true

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