Od.e.2-statisticZ-statisticDo Not Reject Ho0 Z-statisticDo Not Reject Ho0Reject HoaZ-criticalReject HoaZ-critical Steve read an article that said 24% of Americans can speak more than one language. He was curious if this figure was higher in his city, so she collected data from arandom sample. He found that 30 of 150 people sampled could speak more than one language. Assume a-5%. What graph would you choose to test this hypothesis?O a.O b.О с.d.Reject Hoa-Z-criticalZ-statisticDo Not Reject HoDo Not Reject Ho0Do Not Reject Ho0Reject Hoat-criticalZ-criticalt-statisticReject HoZ-statistic

The provided information is as follows:The hypothesized population proportion .The sample size .The…

Answered: Steve read an article that said 24% of…

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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I need help with question 7
Which of the following must be entries from the original data set? the mode the range the third quartile the median the maximum
Which of these graphs show a normal distribution probability?
Anyone provide solution for this question
answers only. Which of the following study is Inferential Statistics? a. 35% of the Enrolled Students in Maharlika University are Solo Parents. b. The market researcher of a manufacturing company constructs a graph showing the fluctuations in sales for a major product line during the past two years. c. The guard on duty recorded the students who came in with above 37.5 body temperature d. The manager of a department store records the number of buying customers daily for 7 consecutive weeks and then estimates the average number of buying customers for the following weeks. 2. What is the sample size of a certain study if the population size is 1,000,000 and 10% margin of error are expected? a.400 c,200 b.300 d.100 3.Which of the following examples is secondary data? a.Direct Interview c.journals b.Indirect or Questionnaire d.Observation
This problem demonstrates a possible (though rare) situation that can occur with group comparisons. The groups are sections and the dependent variable is an exam score. Section 1 Section 2 Section 3 F= 60.5 62.5 76.8 68.3 59.4 71.1 73.1 67.4 54.4 p= 49.5 76 57.7 56.7 33.7 60.5 50.4 72.4 36.3 59.7 70.9 56 73.4 66.8 64.2 Run a one-way ANOVA (fixed effect) with a = 0.05. Round the F-ratio to three decimal places and the p- value to four decimal places. Assume all population and ANOVA requirements are met. 66 67.4 62.9 What is the conclusion from the ANOVA? O reject the null hypothesis: at least one of the group means is different fail to reject the null hypothesis: not enough evidence to suggest the group means are different
Part 6 please
12.2 ONLY!
Dr. Chidi Anagonye studied how self-esteem (high versus low) and success on a school project (passed/succeeded or failed) influences whether students attribute the cause of the outcome to themselves or others. High scores on the dependent variable mean they attribute the outcome to themselves and low scores mean they attributed the outcome to others. Below are his results. Look at the graph below and select the statement that is most true about the graph: Attribution to Self 8 A 9 5 + 3 Low Self Esteem Success High Self Esteem O None of these are accurate Outcome There are 4 independent variables There is definitely an interaction There is definitely not an interaction Failure
An investigator predicts that students taking an achievement test in the morning will perform differently than students taking the same test in the afternoon. Eight students are assigned to take the test in the morning and 8 students are assigned to take the test in the afternoon. Run an independent samples t-test and summarize findings using an alpha level of .05, two-tailed. Also construct a bar graph to graphically represent your results. Morning Group: 25, 31, 44, 36, 29, 42, 39, 41 Afternoon Group: 22, 25, 24, 27, 33, 28, 31, 34
According to multiple research, there is a -0.697 correlation between happiness and loneliness. This means that _________. a. People who are happier tend to be less lonely. b. People who are happier tend to be more lonely. c. There is no link between happiness and loneliness. d. There is a causal relationship between happiness and loneliness.
give the answer and justify it in 3 sentences.

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