A researcher claims that the mean weight of the population of dudes at CSUSB is 250 Ibs (dudes lovetheir tacos). A sample of dudes found the following:n = 47avg = 232S = 10HO: mu = 250; Ha: mu != 232z = -12.34, reject null hypothesisO z = 12.34, reject null hypothesisz = -12.34, do not reject null hypothesisz =12345, do not reject null hypothesist = 12.34, do not reject null hypothesis

Given that Sample size n =47 Sample mean =232 Standard deviation =10 Here we use estimated standard…

Answered: A researcher claims that the mean…

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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In a survey, 38% of the respondents stated that they talk to their pets on the telephone. A veterinarian believed this result to be too high, so she randomly selected 240 pet owners and discovered that 89 of them spoke to their pet on the telephone. Does the veterinarian have a right to be skeptical? Use the α=0.1 level of significance.
A researcher administers a new treatment to a sample of participants selected from a population with µ = 80. If the researcher obtains a sample mean of M = 88, which combination of factors is most likely to result in rejecting the null hypothesis?
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If random samples, each with n = 16 scores, are selected from a normal population with µ = 100 and σ = 20, how much difference, on average, should there be between a sample mean and the population mean?
An engineer is comparing voltages for two types of batteries (K and Q) using a sample of 35 type K batteries and a sample of 44 type Q batteries. The type K batteries have a mean voltage of 8.56, and the population standard deviation is known to be 0.565. The type Q batteries have a mean voltage of 8.74, and the population standard deviation is known to be 0.307. Conduct a hypothesis test for the conjecture that the mean voltage for these two types of batteries is different. Let µj be the true mean voltage for type K batteries and µ2 be the true mean voltage for type Q batteries. Use a 0.05 level of significance. Step 3 of 4: Determine the decision rule for rejecting the null hypothesis Ho. Round the numerical portion of your answer to two decimal places.
A sample of marine iguanas (n=30) from the Galapagos Islands has an average length of 2.8ft with a sample variance of 0.43ft. What is the 95% confidence interval of this sample?
is a simple random sample. 1) Ten students in a graduate program were randomly selected. Their grade point averages (GPAs) when they entering entered the program were between 3.5 and 4.0. The following data were obtained regarding their GPAs on program versus their current GPAs. the Entering GPA 3.5 3.8 3.6 3.6 3.5 3.9 4.0 3.9 3.5 3.7 Current GPA 3.6 3.7 3.9 3.6 3.9 3.8 3.7 3.9 3.8 4.0
A sample of 28 elements is selected to estimate a 95% confidence interval for the variance of the population. What is the chi-square values to be used for this interval?
A study found that a 95% confidence interval for the mean μ of a particular population was computed from a random sample of 1200 people and found it to be 10 ± 4. Therefore, we may conclude:
Cindy is a server at a local restaurant who makes, on average, $58 in tips per daytime shift. Cindy thinks she will make more if she moves to the nighttime shift. Her manager will choose five random nighttime shifts for Cindy to work. Cindy plans to conduct a significance test on the hypotheses H0: mu = 58; Ha: mu > 58 at the alpha = 0.05 level, where is the true mean amount of tips Cindy will make working nighttime shifts. Are the conditions for performing the test met? No, the 10% condition is not met. No, the sample size is too small, and a Normal distribution cannot be assumed. Yes, all conditions are met for performing a significance test about the mean. Yes, only the random condition must be met in order to perform a significance test. No, there is no way the manager could choose a random sample of shifts to work.
There is a claim that playing e-sport increase food intake. The following table (Table 2) shows data on food intake (in Kcal) for 15 men on the 2 hours playing e-sport each night and for 15 men on the 4 hours playing e-sport each night. Conduct a hypothesis test with a = 0.05 to determine there is a significant difference in mean food intake for two different group. Table 2 2-hour playing e-sport 3586 4470 3068 5338 2221 4791 4435 3099 3187 3901 3868 3869 4878 3632 4518 4965 3918 1987 4993 5220 3653 3510 3338 4100 5792 4547 3319 3336 4304 4057 4-hour playing e-sport
a sample of employees is selected and it is found that 45% own a computer which is it a statistic or a parameter

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