It is commonly stated that the water temperature in Hays County is 72 degrees Fahrenheityear round, which is approximately 22.2 degrees Celsius. Is there evidence that the meanwater temperature for Hays County differs from 22.2 degrees Celsius? Use the 0.05 level ofsignificance. State your conclusion in practical language, and show any relevant Rguroooutput to support your conclusion.Alternative Hypothesis Ha: Mean of Water. Temperature. .A.C. is not equal to 22.22.5% lower critical value in units of data = 21.9331442.5% upper critical value in units of data = 22.466856Sample MeanStd ErrorObst Stat20.72770.136073Test is significant at 5% level.Observed Data Scale21.0 21.5 22.0-10.82Obs Sample Mean=20,728P-Value 1.41956-2622.5P-value Graph: t-TestNull density (in units of data): Student t; mean = 22.2, scale = 0.13607, df = 2054Alternative Hypothesis Ha: Mean of Water Temperature. A.C. is not equal to 22.223.0 23.5DFSample Mean [Water Temperature.A.C20542.5% t-LowerCritical-1.96112-102.5% t-UpperCriticalt Distribution Scale (df = 2054)01.96112L-ValesP-value1.41949-26A Obst Stat -10.82P-Value 1.4195e-2610

It is known that the water temperature in Hays County is 22.2 degrees Celsius.The objective is to…

Answered: ed that the water temperature in Hays…

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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a. Develop a hypothesis test that can be used to determine whether the mean annual consumption in Webster City is higher than the national mean. Ho: $21.5 Ha: >21.5 b. What is a point estimate of the difference between mean annual consumption in Webster City and the national mean? (2 decimals) c. At a = 0.01, test for a significant difference by completing the following. Calculate the value of the test statistic (2 decimals). The p-value is Reject the null hypothesis? (4 decimals) Yes v What is your conclusion? Conclude the population mean consumption of milk in Webster City is greater tha
What is the correct answer?
3. You would like to determine if there is a statistical relationship between the amount of caffein in a cup of coffee and their sales at their coffee franchises. The data is included in the set "Coffee by the Cup". Here is information about the variables. Variable Caffeine Cups Sold Measurement Amount of caffeine in one cup Number of cups of the coffee Units Milligrams Cups sold sold at all of the franchises a. Which variable is the explanatory variable and which variable is the response variable? b. Construct a scatterplot of the data. Based upon the scatterplot is there a linear relationship between the amount of caffeine in one cup of the coffee and the number of cups of coffee sold? Justify your reasoning using the scatterplot. c. Run a t-test for correlation using technology. Make sure you include the p-value and the printout. According to the t-test, is there a statistical relationship between the amount of caffeine in a cup of coffee and the number of cups sold? Justify your…
A scale is known to be "low-calibrated" in that it measures an aluminum bar to be 4 grams lower than the actual weight. If ????μold is the mean of all possible measurements of the bar using the old calibration, and ????μnew is the mean of all possible measurements of the bar using a re-calibrated scale. It is desired that ????−????=4μnew−μold=4. Consider the test ?0:????−????=4H0:μnew−μold=4 vs. ?0:????−????≠4H0:μnew−μold≠4 Sample after calibration: mean is 95.8 , SD is 4.9 and sample size is 10 Sample before calibration: mean is 89.352 , SD is 4.2 and sample size is 62 We do not know population standard deviations. What is the p-value? (Hint: best to use software, or else the Desmos Calculator for the 2 sample T and Z test)
The data found below measure the amounts of greenhouse gas emissions from three types of vehicles. The measurements are in tons per year, expressed as CO2 equivalents. Use a 0.025 significance level to test the claim that the different types of vehicle have the same mean amount of greenhouse gas emissions. Based on the results, does the type of vehicle appear to affect the amount of greenhouse gas emissions? : Click the icon to view the data. What are the hypotheses for this test? Data Table O A. Ho: H1 = H2 =H3 H: At least one of the means is different from the others. Туре с O B. Ho: H1 # H2 * H3 Туре А 6.2 Type B 8.2 7.7 Hyi Hy = H2 =H3 5.8 7.3 7.6 6.2 8.4 8.8 OC. Ho: H1 = H2 = H3 H: H1 # H2 #H3 5.7 7.8 8.8 6.9 8.8 9.3 6.1 7.7 8.1 O D. Ho: At least one of the means is different from the others. 7.9 5.7 7.3 5.9 7.3 7.8 H: H1 =H2 = H3 5.6 8.1 5.6 Determine the test statistic. F = (Round to two decimal places as needed.) Print Done Identify the P-value. Click to select your answer(s).…
X is a point estimator of: Select one: a. Population mean b. Sample mean c. Sample variance d. Population variance
please answer 4 and 5
Interpolate the following data set with linear spline interpolation x; -6.8 1.5 16.0 yi |-63.61 18.6 |40.1 The linear spline interpolation will give the following value for y in x = −3.3: (Use as many digits as possible in your calculations) Answer: The linear spline interpolation will give the following value for y in x = 11.5: (Use as many digits as possible in your calculations) Answer:
A meteorologist relocated to the city of Windhoek and decided to carry out a research on theamount of rainfall a month recorded in the city in a particular year. His data contained thefollowing: 14 14 10 12 11 13 11 11 11 10 13 8 a. Use the data to calculate the Mean, Mode and Median for the set of rainy days. b. Interpret each central measure
Refer to the data below. 38 42 26 22 30 42 36 42 1)The mean is 2)The range is: 3)The difference between the mode and median is: 4)Which measure of dispersion in a data set is calculated using all the values in the set?
d. Interpret the value of IQR in the above table.
14. The range is defined as the: a. variability of the data with reference to extreme scores. b. the variability of the data with reference to the mean. c. variability of the data in terms of how many subjects achieved each value of the variable. d. SS/n

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