A local college newsletter reported that the average American college student spends one hour (60 minutes) on a social media website daily. But you wonder if there is a difference between malesand females. Attached below is a sample of 60 users of the website (30 males and 30 females) and their recorded daily time spent on the website. Complete (a) and (b) below.Click the icon to view the sample times.a. Assuming that the variances in the population of times spent on the website per day are equal, is there evidence of a difference in the mean time spent on the website per day between males andfemales? (Use a 0.05 level of significance.)Let μ₁ be the mean daily time spent on the website for male college students and µ2 be the mean daily time spent on the website for female college students. Determine the hypotheses. Choose thecorrect answer below.A. Ho: M₁ = ₂H₁: H₁ H₂C. Ho: H₁ H₂H₁: M₁ Sample timesDaily time spent (in minutes) on the website for 30 males180 960 60 30 10 5 720 270 6060 120 270 40 150 20 45 45 180Daily time spent (in minutes) on the website for 30 females30 60 2030 15 180 60 180 21060 60 240 120 30 30 90 18075210 210 240 24015021060 15 30 20 120 10015 9060 1560 60 100 2101201012050닭-X

Let μ1 and μ2 mean time spent on the website between males and females. Sample size for males…

Answered: a. Assuming that the variances in 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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The mean value of land and buildings per acre from a sample of farmers is $1500, with a standard derivation of $100. The data set has bell-shaped distribution. Using the empirical rule, determine which of the following farms, whose land and building values per acre are given, are unusual (more than two standards derivations from the mean). Are any of data values very unusual (more then three standard derivations from the mean)? $1357 $1719 $1316 $1176 $1598 $1491
An analysis of variance produces SSbetween = 30, SSwithin = 60, and an F-ratio with dfbetween = 2 and dfwithin 15. For this analysis, what is the F-ratio? a. 30/60 = 0.50 b. 60/30 = 2.00 c. 15/4 = 3.75 d. 4/15 = 0.27
The accompanying data table contains chest deceleration measurements (in g, whereg is the force of gravity) from samples of small, midsize, and large cars. Shown are the technology results for analysis of variance of this data table. Assume that a researcher plans to use a 0.05 significance level to test the claim that the different size categories have the same mean chest deceleration in the standard crash test. Complete parts (a) and (b) below. Click the icon to view the table of chest deceleration measurements A Click the icon to view the table of analysis of variance results. ..... a. What characteristic of the data specifically indicates that one-way analysis of variance should be used? O A. There are three samples of measurements. O B. The population means are approximately normal. O C. The measurements are categorized according to the one characteristic of size. O D. Nothing specifically indicates that one-way analysis of variance should be used. b. If the objective is to test…
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. A process that cuts lengths of metal with high precision has historically produced metal rods with length that is normally distributed and with a mean of 800 millimetres (mm). Management at the factory is concerned that after an overhaul of the machine the mean length of the rods being produced could differ from the required 800 mm. If it is found that the rods are not being produced to specifications then the machine will have to be stopped for readjustment, with a consequent loss of production. The production line manager tasked with investigating the issue finds that a (random) sample of 25 rods yielded a mean length of 806 mm and a sample standard deviation of 10 mm. i. The mean of the sample is clearly not the required 800 mm. Say why this is not enough information in itself to say if the machine is operating correctly or not. ii. State the null and alternative hypotheses for this situation.
Scientists measured the amount of drug in tablets produced at two different, independent sites. Scientists want to know whether there is any difference between the mean drug concentration in tablets produced at Site 1 and Site 2. Run the appropriate test in Excel, assuming the population variances are equal. Use an a = .05 significance level. Submit the...
Given below are the analysis of variance results from a stat software display comparing sample data for the meanmileage for 4 different types of cars. Assume that you want to use a 0.05 significance level in testing the null hypothesisthat the different samples come from cars with the same mileage. What can you conclude about the equality of the population means?Source DF SS MS F pFactor 3 13.500 4.500 5.17 0.011Error 16 13.925 0.870Total 19 27.425 12)What is the null and alternative hypothesis for this scenari?Based on this One Way Anova software analysis, would you reject of fail to reject the nul hypothesis?What does this result mean in context?
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