A group of students estimated the length of one minute without reference to a watch or clock, and the times (seconds) are listed below. Use a 0.01 significance level to test the claim that these times are from a population with a mean equal to 60seconds. Does it appear that students are reasonably good at estimating one minute?758850774934667572587181105 9573What are the null and alternative hypotheses?O A. Ho: µ= 60 secondsB. Ho: µ = 60 seconds%3D%3DH1: µ< 60 secondsH1: µ > 60 secondsC. Ho: µ + 60 secondsD. Ho: µ = 60 secondsH1: µ= 60 secondsH1: µ# 60 secondsDetermine the test statistic.(Round to two decimal places as needed.)Determine the P-value.(Round to three decimal places as needed.)State the final conclusion that addresses the original claim.Ho. There isestimating one minute.evidence to conclude that the original claim that the mean of the population of estimates is 60 secondscorrect. Itthat, as a group, the students are reasonably good at

Given data and required calculation is shown below

Answered: A group of students estimated the…

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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1) null and alternative hypothesis 2) observed value 3) p-value
NEED FULLY CORRECT HANDWRITTEN SOLUTION FOR THIS ASAP..... AND I'LL RATE POSITIVE FOR SURE.
Answer A B C
A) What standard normal z-score is associated with the bottom (or lowest) 2%? The probability is 0.02 that a standardized normal variable takes a value below what particular value of z? B) What standard normal z-score is associated with the upper 99%? The probability is 0.99 that a standardized normal variable takes a value above what particular value of Z? C) What standard normal z-scores contain the middle 90%? The probability is 0.90 that a normal variable takes a value within how many standard deviations of its mean?
Which of the following most accurately describes a statistical hypothesis test? a technique that uses population data to make inferences about an unknown sample statistic a technique that allows researchers to describe a known sample O a technique that allows researchers to describe a known population O O O O a technique that uses sample data to draw inferences about an unknown population parameter
ch.8 proportions question4 Assume that a sample is used to estimate a population proportion p. Find the 99% confidence interval for a sample of size 143 with 65% successes. Enter your answer as an open-interval (i.e., parentheses) using decimals (not percents) accurate to three decimal places.C.I. =
1. The best point estimator for the average weight of current PBA players is __ kilograms 2. At 98% confidence, the estimate of the minimum weight of all PBA players is __ kilograms Kindly answer both questions please. Thanks.
chapter 7.1
An article reports that blue eyed people earn less than brown eyed people, with these numbers: average blue-eyed salary 35,000, average brown-eyed salary $37,000, p-value 0.45. Based on that reported p-value, and using the common definition of statistical significance, "which is the case? A. The results are nowhere near to being statistically significant. B. The results are almost but not quite statistically significant. C. The results are just barely statistically significant. D. The results are strongly statistically significant.
which of the following sample data: sample size= 100 sample mean= 340z/hr sample variance= 90z/ hr construct a 98% confidence interval for μ. the population mean is what?
According to a study, brain weights of men in country A are normally distributed with mean 1.49 kg and standard deviation 0.14 kg. Apply the empirical rule to complete each sentence. Complete parts (a) through (d). a. Complete the sentence "Approximately 68% of the men have brain weights between _____ kg and _____ kg." Approximately 68% of the men have brain weights between nothing kg and nothing kg.
Do government employees take longer coffee breaks than private sector workers? That is a question that interested a management consultant. To examine the issue, he took a random sample of ten government employees and another random sample of ten private sector workers and measured the amount of time (in minutes) they spent in coffee breaks during the day. The results are listed below. Assume that the two populations are normally distributed.

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