Definition: Which of the following is the best definition of the the test statistic?The number of standard errors above or below the expected outcome that our sample lies.O The difficulty level of the hypothesis fest.O The boundary value corresponding to the p-value.O The z-score corresponding to our sample..

Answered: Definition: Which of the following is O…

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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The critical value in a hypothesis test Multiple Choice depends on the value of the test statistic. is calculated from the sample data. separates the acceptance and rejection regions. usually is .05 or .01 in most statistical tests.
Question Help Y 12.2.79 The number of successes and the sample size for a simple random sample from a population are given below. x = 8, n = 40, Ho:p=0.4, H2: p< 0.4, a = 0.01 a. Determine the sample proportion. b. Decide whether using the one-proportion z-test is appropriate. c. If appropriate, use the one-proportion z-test to perform the specified hypothesis test. Click here to view a table of areas under the standard normal curve for negative values of z. Click here to view a table of areas under the standard normal curve for positive values of z. c. Determine the test statistic, if appropriate. Select the correct choice below and, if necessary, fill in the answer box to complete your answer. z= - 2.58 (Round to two decimal places as needed.) B. The one-proportion z-test is not appropriate. Identify the critical value(s), if appropriate. Select the correct choice below and, if necessary, fill in the answer box to complete your answer. A. ±Za/2 (Round to two decimal places as…
Q6: Briefly, explain the importance of the tests shown in the following table in Hypothesis testing. Kolmogorov-Smimov Weight gain: Regular Diet Keto-Diet Statistic 0.360 0.146 df Sig. 8 .000 10 0.234 Shapiro-Wilk Statistic df 0.827 0.966 8 10 Sig. 0.021 0.850
Ramos has a spinning wheel. The Spining wheel has 18 blue numbers 18 white numbers and 2 yellow numbers the table provided shows the frequency with which the ball landed on each color in 200 trials. color blue frequency 18 white frequency 18 yellow frequency 2 . At the 5% significance level do the data suggest that the wheel is out of balance?you will need to compute the expected counts to do your calculations remember that the expected counts can be computed with the formula E = np, where n is the number of trials and P is the probability of each color.
The mean price of mid-sized cars in a region is $57,600. A test is conducted to see if the claim is true. Identify the null hypothesis. ? v? v Identify the alternative hypothesis. ? v:?v| ? v Identify the type I error. O You decide that the mean price of mid-sized cars is not $57,600, when the mean price of mid- sized cars actually is $57,600. O You decide that the mean price of mid-sized cars is $57,600, when the mean price of mid- sized cars actually is not $57,600. O You decide that the mean price of mid-sized cars is not $57,600, when the mean price of mid- sized cars actually is nor $57,600. O You decide that the mean price of mid-sized cars is $57,600, when the mean price of mid- sized cars actually is $57,600. Identify the type II error. O You decide that the mean price of mid-sized cars is not $57,600, when the mean price of mid- sized cars actually is $57,600. O You decide that the mean price of mid-sized cars is $57,600, when the mean price of mid- sized cars actually is not…
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If I'm doing hypothesis testing on the amount (percentage) of americans who have a college degree, would I use p (the population proportion) or µ (The population mean) for the hypothesis? Then what tests would follow after? T stats or Z stats?
Kelly performs a hypothesis test and calculates a p-value of .489 for her sample data. What decision can be made about the null hypothesis? O fail to reject the null O reject the null
Im confused on this problem
It is widely believed that 19% of all students live in campus housing. You suspect that claim is not accurate. You take a sample of 150 students from the population and find that 39 of those students live in campus housing. The parts that I am having trouble with are: Assuming the null is true, how many standard errors is the sample proportion away from the null? Assuming the null is true, on average, how far would a sample proportion be from the expected population proportion? I know that the answer for each part is 2.19 and 0.0320. I am struggling to remember the steps to get to the answer.
In hypothesis testing, if the test statistic is negative, this means the sample statistic is larger than the claimed population parameter. O we call the initial claim being tested about the population an alternative hypothesis. the "P" in P-value stands for "personal." O it is necessary to know the population size in order to compute the test statistic. O results that are statistically significant may or may not be practically important (or practically significant).
Please answer the last 2 questions.

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Definition: Which of the following is O The number of standard errors above or below the expected outcome that our sample lies. O The difficulty level of the hypothesis fest. O The boundary value corresponding to the p-value. O The z-score corresponding to our sample.