According to data released by the Organization for Economic Cooperation and Development (OECD) in 2018, theFrench spend more time eating their meals than anybody else. Perform a hypothesis test to determine if a differenceexists between the average time an American spends eating lunch when compared to a person from France. Thegiven data represents the time, in minutes, that random French and American diners spent at lunch. Assume that thepopulation variances are equal.American 21French241718O A. tx=2.34O B. t=1.41O C. t = 1.63O D. t = -2.20X17 20202825 1618 29 1720 16If Population 1 is defined as French diners and Population 2 is defined as American diners, then what is the teststatistic for this hypothesis test? Round to two decimal places as needed.Clear allCheck answer

The data shows the diners spent time for two countries.

Answered: According to data released by 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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Check for accuracy and respond the last questions 2. For this problem, use Chapter 11 Data Set 3. We want to know if urban and rural residents both have the same attitude toward gun control. a. What is the null hypothesis? The null hypothesis concludes that there is no difference in attitudes toward gun control between urban and rural residents. b. What is the research hypothesis? The research hypothesis suggests that there is a difference in attitudes toward gun control between urban and rural residents. c. Will you be conducting a one-tailed or a two-tailed test? Why? In this case I would conduct a two-tailed test because i’m interested in whether there is a difference in attitudes toward gun control between urban and rural residents, regardless of which direction that difference follows. e.- What is the p-value (hint: it is under “sig” in the output table)? The P-value is 0.44. Do you reject the null hypothesis or fail to reject the null? What do you conclude about urban and…
3. Correlation and linear regression
A study was conducted to examine the impact of speaking in public on college students. A class of 15 statistics students participated in the study. At the beginning of a lecture the students recorded their systolic blood pressure. During the lecture the instructor called on each student to stand and answer questions about topics in the lecture. After speaking the students once again recorded their blood pressure. The resulting values are given below along with summary statistics. before 107 123 128 125 136 108 130 113 105 136 146 138 108 149 132 after 141 142 146 136 144 111 132 114 103 133 140 130 100 133 113 difference -34 -19 -18 -11 -8 -3 -2 -1 2 3 6 8 8 16 19 before after difference mean 125.6 127.9 -2.267 st dev 14.53 15.45 14.03 Does this information indicate that blood pressure increased because of speaking? Conduct an appropriate hypothesis test and show appropriate steps. Let μ1 mean systolic blood pressure before speaking in public, and μ2 mean…
State the estimated coefficient for time and its interpretation. Also, state what the coefficient of determination is and its interpretation.
.Descriptive statistics allows you to make inference from the data صواب ihi
What is the variance of the numbers below
The arm span and foot length were measured (in centimeters) for each of the 19 students in a statistics class and displayed in the scatterplot. An analysis was completed and the computer output is shown. Using the computer output, what is the predicted foot length for a student with an arm span of 160 cm? 5.79 cm 22.15 cm 29.76 cm Arm Span vs. Foot Length 29.80 cm 29 27 19 155 160 165 170 175 180 185 190 195 Foot Length (cm) 21
Suppose you are interested in the population of all college students in the US and that you collect data from all students from FIT. Is the following a parameter or statistic? The proportion of your school's students who are Business Majors a. parameter b. statistic
A record of a chess match records the chess piece used, the location of the piece and the length of time used to make the move. Classify each variable as qualitative or quantitative. A sample data table is listed below Piece Location pawn B3 rook C7 queen A6 0000 Move time (in seconds) 65 84 53 Piece - qualitative; location - quantitative; move time - quantitative Piece - quantitative; location - quantitative; move time - qualitative Piece - qualitative; location - qualitative; move time - quantitative Piece - qualitative; location - quantitative; move time - qualitative
Erin is married to Glen Mills. Erin earns an income of 500. Glen earns 400. Glen and Erin live with their two dependent children who earn no income. Vaughan lives alone and earns an income of 100. 1. Statistics Canada would report the variance in income for this population is equal to? 2. Statistics Canada would report the range of incomes for this population is equal to?

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