1)EITHER state the critical values and use the critical values/z-obtained comparison OR use the p-value/alpha comparison to make a decision. And2) State a conclusion. 3. Test a hypothesis the Americans, on average, watch less than 3 hours of TV per day(TVHOURS). Use a=0.01.Họ: P = 3H: P > 3On-ple StatisticsStd.Std. ErrorNMeanDeviationMeanHours per day18833.032.811.065watching TVOne-Sample TestTest Value = 399% ConfidenceInterval of theSignificanceDifferenceOne-Two-MeandfSided pSided p DifferenceLowerUpperHours per daywatching TV.4841882.314.629.031-1420here to searchPrtScnHomePoUp

Given that Population mean=3 Sample mean=3.03 Sample standard deviation =2.811 Sample size =1883 t…

Answered: 1)EITHER state the critical values and…

1)EITHER state the critical values and use the critical values/z-obtained comparison OR use the p-value/alpha comparison to make a decision. And 2) State a conclusion.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

An engineer at a company wants to model the relationship between the yield (y) and three variables: pressure (x1), volume (x2) and temperature (x3). Data is collected and the output of the statistical analysis is displayed table below. i. From appropriate statistical tests, determine the relationship between yield and the three variables, Use a 5% significance level where required.
A company that manufactures computer chips wants to use a multiple regression model to study the effect that 3 different variables have on y, the total daily production cost (in thousands of dollars). Let B,, B,, and B, denote the coefficients of the 3 variables in this model. Using 22 observations on each of the variables, the software program used to find the estimated regression model reports that the total sum of squares (SST) is 485.84 and the regression sum of squares (SSR) is 229.91. Using a significance level of 0.10, can you conclude that at least one of the independent variables in the model provides useful (i.e., statistically significant) information for predicting daily production costs? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (a) State the null hypothesis H, for the test. Note that the alternative hypothesis H, is given. H, :0 H, : at least one of the independent variables is useful…
Two teams (A and B) are trying to improve AirTag quality by increasing the maximum Bluetoothrange of the AirTag. Your supervisor asked you to compare the two different prototypes by the teams. You need to examine 50 AirTag samples from each team (i.e., total of 100 AirTags from both teams) and measure their maximum Bluetooth range. Use the maximum Bluetooth range results for the prototypes designed by team A and team B shown in table 1 below to determine the following: (1-a) What is the mean, mode, median, and standard deviation of the maximum Bluetooth range for each team of AirTag? Show all work. (1-b) Divide each data group into five categories and create the frequency table. (1-c) Calculate the mean and standard deviation from the frequency tables and compare them to the results found in part (1-a). (1-d) Present the data as a histogram. (1-e) Present the data as a frequency polygon Note : last two numper = 20
Can a causal relationship be established between a variable y and a variable x by running the following regressions: i) y = f(x) and ii) x = f(y). Explain in less than 75 words.
A researcher is studying the intensity of hurricanes that entered the Gulf of Mexico between 1975-2015 and the average water temperature of the Gulf of Mexico at the hurricane's peak strength. What is the independent and dependent variable in this study?
spss/minitab
The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. The table gives body fat percentages for 16 athletes using each of these methods (a subset of the data given in a graph that appeared in the paper). For purposes of this exercise, you can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete 0 Ho: Md = Ha: Md 0 < 0 5 6 7 8 9 10 11 12 13 14 15 16 X-ray 4.75 7.00 9.25 12.00 17.25 29.50 5.50 6.00 8.00 8.50 9.25 11.00 12.00 14.00 17.00 18.00 USE SALT Ultrasound 4.75 4.00 9.00 11.75 17.00 27.75 6.50 6.75 8.75 9.75 9.50 12.00 12.25 15.75 18.00 18.50 X Find the test statistic and P-value. (Use a table or SALT. Round your test statistic to one decimal place and your P-value to three decimal places.) t = P-value = 0.000 Mx-ray ultrasound.)
An investigator is interested which among the three drugs in the market provides greater pain relief. The data below consists of the scores representing reduction in pain for each of the three drugs. The investigator wants to test whether the reduction in pain differs across treatment. State the hypotheses. What statistical test should be used to determine if there is a difference in the pain relief between the three drugs? Determine the appropriate critical value and set up the decision rule. (α=0.05) Compute the test statistic. Interpret your results. Give your conclusion.
An engineer is testing a new car model to determine how its fuel efficiency, measured in L/(100 km), is related to its speed, which is measured in km/hour. The engineer calculates the average speed for 30 trials. The average speed is an example of a (statistic or parameter) The engineer would like to find the least squares regression line predicting fuel used (y) from speed (x) for the 30 cars he observed. He collected the data below. Speed 62 65 80 82 85 87 90 96 98 100 Fuel 12 13 14 13 14 14 15 15 16 15 Speed 100 102 104 107 112 114 114 117 121 122 Fuel 16 17 16 17 18 17 18 17 18 19 Speed 124 127 127 130 132 137 138 142 144 150 Fuel 18 19 20 19 21 23 22 23 24 26 The regression line equation is Round each number to four decimal places.
Parameter estimates Direct effects Freedom Generosity Family Life Expectancy Note. Delta method Indirect effects Freedom Freedom Generosity Generosity Family Family Total effects Freedom Generosity Estimate Std. Error Freedom Generosity Family Life Expectancy 1.476 0.381 1.118 1.289 GDP per Capita Happiness Score Happiness Score Government Corruption CDP per Capita Government Corruption GDP per Capita Government Corruption GDP per Capita Government Corruption Happiness Score Happiness Score Life Expectancy Happiness Score Happiness Score Life Expectancy Note. Delta method standard errors, normal theory confidence intervals, ML estimator. Happiness Score Happiness Score Happiness Score Happiness Score standard errors, normal theory confidence intervals, ML estimator. 1111 0.335 0.322 0.197 0.314 Estimate Std. Error 1.828 0.253 1.402 2.278 z-value Estimate 0.352 -0.128 0.284 0.989 Р 4.409 <.001 1.183 0.237 5.661 <.001 4.102 <.001 Happiness Score Happiness Score 0.331 0.332 0.194 0.227…