i) What can be concluded at the a = 0.001 level of significance? Based on this, we should (Select an answer the null hypothesis. ii) Thus, the final conclusion is that ... | The data suggest the populaton mean is significantly more than 19 at a = 0.001, so there is statistically significant evidence to conclude that the population mean amount of time to make a pizza at Super Fast Pizza is more than 19. The data suggest that the population mean amount of time to make a pizza at Super Fast Pizza is not significantly more than 19 at a = 0.001, so there is statistically insignificant evidence to conclude that the population mean amount of time to make a pizza at Super Fast Pizza is more than 19. %3D The data suggest the population mean is not significantly more than 19 at a = 0.001, so there is statistically insignificant evidence to conclude that the population mean amount of time to make a pizza at Super Fast Pizza is equal to 19. %3D

i) What can be concluded at the a = 0.001 level of significance? Based on this, we should (Select an answer the null hypothesis. ii) Thus, the final conclusion is that ... | The data suggest the populaton mean is significantly more than 19 at a = 0.001, so there is statistically significant evidence to conclude that the population mean amount of time to make a pizza at Super Fast Pizza is more than 19. The data suggest that the population mean amount of time to make a pizza at Super Fast Pizza is not significantly more than 19 at a = 0.001, so there is statistically insignificant evidence to conclude that the population mean amount of time to make a pizza at Super Fast Pizza is more than 19. %3D The data suggest the population mean is not significantly more than 19 at a = 0.001, so there is statistically insignificant evidence to conclude that the population mean amount of time to make a pizza at Super Fast Pizza is equal to 19. %3D

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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Consider the following hypothesis test. The null hypothesis is "The mean body temperature for humans is 98.6 degrees Farenheit." and the alternative hypothesis is "The mean body temperature for humans differs from 98.6 degrees Farenheit." Answer the following questions. a. "The mean body temperature for humans in fact differs from 98.6 degrees Farenheit and the result of the sampling lead to that conclusion" is aA. Type I errorB. correct decisionC. Type II error b. "The mean body temperature for humans in fact is 98.6 degrees Farenheit but the result of the sampling lead to the conclusion that the mean body temprature for humans differ from 98.6 degrees Farenheit" is aA. Type II errorB. Type I errorC. correct decision c. "The mean body temperature for humans in fact is 98.6 degrees Farenheit and the result of the sampling do not lead to the rejection of the fact that the mean body temprature is 98.6 degrees Farenheit" is aA. Type I errorB. correct decisionC. Type II error d. "The mean…
You read in the report of a psychology experiment: "Separate analyses for our two groups of 12 participants revealed no overall placebo effect for our student group (mean = 0.08, SD = 0.37, 4 = 0,49)and a significant effect for our nonstudent group (mean = 0.35, SD = 0.37, ¢u = 3.25, p < 0.01). 'IS The null hypothesis is that the mean effect is zero. What are the correct values of the two t statistics based on the means and standard deviations? Compare each correct talue with the critical values in Table C. What can you say about the twosided Pvalue in each case?
Question Help The random-number generator on calculators randomly generates a number between 0 and 1. The random variable X, the number generated, follows a uniform probability distribution. (a) Identify the graph of the uniform density function. (b) What is the probability of generating a number between 0.73 and 0.86? (c) What is the probability of generating a number greater than 0.86? (a) Choose the correct graph of the uniform density function below. A. 00.20.40.60.811.200.20.40.60.811.2xDensity A probability density function has a horizontal axis labeled "x" from 0 to 1.2 in intervals of 0.2 and a vertical axis labeled "Density" from 0 to 1.2 in intervals of 0.2. The probability density function is a rectangle from horizontal coordinate 0 to horizontal coordinate 1 with a height of 0.8. B. 00.20.40.60.811.200.20.40.60.811.2xDensity A probability density function has a horizontal axis labeled…
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For the following question- It is thought that having a relatively consistent length of message in any given conversation indicates a pattern of helpful, well-balanced communication. In fact, some new research suggests that to ensure a productive conversation the maximum message length should be no more than 8 words greater than the minimum message length in any conversation. Test whether the conversations in the sample meet the criteria suggested by this research study. which type of statistical test would be best used to conduct this test= 1. χ 2 goodness of fit 2. χ 2 test for independence (2-way table) 3. Correlation 4. Anova 5. T test
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For the last part of the question, the options are: Fail to reject OR reject; Sufficient OR not sufficient; is OR is not; Thanks!
A Shapiro-Wilk result had a p-value of 0.05. Which of the following statements is best? O O O There is a 5% chance that the data is truly different from the normal curve There is a 5% chance that the data presented is only due to coincidence There is a 95% chance that the data is truly different from the normal curve There is a 95% chance that the data presented is only due to coincidence 7
Is the mean length of adult invasive Lionfish in the Atlantic coast of South Carolina greater than 355.6mm? (don't answer this, this is just so you know what the data is for) Answer the following questions and use the provided excel images, data on the far left is lionfish data Question 2. Describe your null and alternative hypotheses using symbols. Question 3. Select the significance level (a). Question 4. Select an appropriate test, calculate the test statistic and p-value using Excel. Question 5. Determine whether you should reject or not reject the null hypothesis based on the p-value. State the reason to support your answer. Question 6. Describe your conclusion in words in the context of your research question. paste data below Use this sheet to perform a 1-sample t-test. 457.2 431.9 COUNT MEAN 20.00 437.45 438.2 STANDARD DEVIATION 16.48 436.4 STANDARD ERROR 3.69 416.8 454.6 Confidence Interval 95% 456.6 Level of Significance 0.05 453.1 404.9 447.9 437.9 HYPOTHESIS TEST t-VALUE…
Q: Fewer than 90% of adults have a cell phone. This is a claim about a population proportion so a normal distribution is assumed. The claim undergoes a hypothesis test using a significance level of α = 0.05. The P-value based on sample data is calculated to be 0.0003. On your graph, next highlight the P-value. (The P-value means that there is a 0.03% chance that your results could be random or happen by chance). State a conclusion about the null hypothesis. (Reject H0 or fail to reject H0.) Without using technical terms or symbols, state a final conclusion that addresses the original claim, i.e., fewer than 90% of adults have a cell phone.Now we will test this hypothesis using the critical value method. The z statistic is most relevant to this test. Using the z-score tables at the back of the textbook, find the z-score for a significance level of α = 0.05. This is the critical value. What is it? Sketch a normal distribution curve, plot the critical value, and highlight the critical…