**Background:** Morris Saldov conducted a study in Eastern and Central Newfoundland in 1988 to examine public attitudes towards social spending. In particular, the study tried to determine if knowing someone on public assistance (yes, no) affected one's views on social spending (too little, about right, too much). The data from the study is summarized in the table below.| | Yes | No | Total ||---------------------|-----|----|-------|| Too little | 38 | 6 | 44 || About right | 14 | 11 | 25 || Too much | 9 | 8 | 17 || **Total** | 61 | 25 | 86 |**Source:** Morris Saldov, "Public Attitudes to Social Spending in Newfoundland," Canadian Review of Social Policy, 26, November 1990, pages 10-14.**Directions:** Conduct a chi-square test for independence to determine if the association between knowing someone on public assistance and views on social spending is statistically significant.1. Choose the correct null and alternative hypotheses. - $ H_0 $: There is an association between knowing someone on public assistance and views on social spending. - $ H_a $: There is no association between knowing someone on public assistance and views on social spending. - $ H_0 $: There is no association between knowing someone on public assistance and views on social spending. - $ H_a $: There is an association between knowing someone on public assistance and views on social spending.2. Compute the test statistic. 2. Compute the test statistic.Complete the following table of expected counts. (Round your answers to 3 decimal places.)| | Yes | No ||----------|-----|-----|| Too little | | || About right| | || Too much | | |Compute the value of the test statistic. (Round your answer to 2 decimal places.)χ² = [ ]3. Compute the p-value. (Round your answer to 4 decimal places.)p-value = [ ]4. Interpret the results of the significance test.[ ] The p-value provides little evidence against the null hypothesis. The association between knowing someone on public assistance and attitudes towards social spending is not statistically significant. From a practical perspective, a person who knows someone on public assistance is 2.6 times more likely to believe that too little is spent on social needs.[ ] The p-value provides strong evidence against the null hypothesis. The association between knowing someone on public assistance and attitudes towards social spending is statistically significant.

Given data yes No TotalToo little 38…

Answered: Background: Morris Saldov conducted a…

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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for everyone of these 14 questions make a pie chart to see who answered yes or no, this or that more so i can see the statistics.
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Given the following data set: $1.42, $1.27, $1.28, $1.48, $1.36, $1.44, $1.46, $1.32, $1.33, $1.33 $1.23, $1.38, $1.43, $1.28, $1.43, $1.49, $1.37, $1.26, $1.26, $1.38 Determine the frequencies of gasoline prices for each given class. Frequency Relative Frequency Class < $1.25 $1.25 < $1.30 $1.30 $1.35 $1.35 $1.40 $1.40 < $1.45 $1.45 CHECK ANSWER
A researcher is interested in investigating whether religious affiliation and the brand of sneakers that people wear are associated. The table below shows the results of a survey. Frequencies of Religions and Sneakers Nike Adidas Other Protestant 96 93 110 Catholic 57 56 97 Jewish 18 23 21 Other 62 75 89
The Bureau of Labor Statistics provides the annual average unemployment rate (civilian workforce 16 years and older) in the United States. This information is given in the following table. Year Unemployment Rate 2006 4.6% 2007 4.6% 2008 5.8% 2009 9.3% 2010 9.6% 2011 8.9% (a) Which of the following explanations is the BEST reason for NOT using a pie chart to represent this data? (Choose only one.) Bar charts are always better representations of data. There are too many years for a pie chart to useful. The numbers do not add to 100%. Each of the percentages comes from a different base. That is, each of the percentages are not part of the same whole. (b) Think about the similarities and differences of pie charts, bar graphs, and histograms. Select ALL of the following statements that are TRUE. Pie charts and bar graphs are used to compare variables while histograms are used to examine the distribution of data. Pie charts, bar graphs, and histograms can…
Background: Morris Saldov conducted a study in Eastern and Central Newfoundland in 1988 to examine public attitudes towards social spending. In particular, the study tried to determine if knowing someone on public assistance (yes, no) affected one's views on social spending (too little, about right, too much). The data from the study is summarized in the table below, Yes No Total Too little 39 8 47 About right 16 12 28 Too much 8 8 16 Total 63 28 91 Source: Morris Saldov, Public Attitudes to Social Spending in Newfoundland," Canadian Review of Social Policy, 26, November 1990, pages 10-14. Directions: Conduct a chi-square test for independence to determine if the association between knowing someone on public assistance and views on social spending is statistically significant. 1. Choose the correct null and alternative hypotheses. Ho: There is an association between knowing someone on public assistance and views on social spending. Ha There is no association between knowing someone on…
Health coverage, frequencies. The Behavioral Risk Factor Surveillance System (BRFSS) is an annual telephone survey designed to identify risk factors in the adult population and report emerging health trends. The following table summarizes two variables for the respondents: health status and health coverage, which describes whether each respondent had health insurance. Health No Coverage Yes Total Excellent 459 4,198 4,657 Very good Health Status Good Fair Poor Total 385 99 2,524 727 854 6,245 4,821 1,634 578 17,476 6,972 5,675 2,019 677 20,000 If one individual is drawn at random, what is the probability that the respondent has excellent health or doesn't have health coverage? Round your answer to five decimal places.
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A recent report stated that in 1990, there were approximately 9.7 million employment opportunities in a Science, Technology, Engineering or Mathematics (STEM) related field. There is a reported 17.3 million positions available in a STEM related field in 2019. What is the relative change in the number of STEM positions available from 1990 to 2019? A. 7.6% B. 56.1% C. 43.9% D. 78.4%
Identify the type of observational study (cross-sectional, retrospective, or prospective) described below. A research company uses a device to record the viewing habits of about 10,000 households, and the data collected over the next 10 years will be used to determine whether the proportion of households tuned to a particular children's program decreases. Which type of observational study is described in the problem statement? O A prospective study O A retrospective study A cross-sectional study F4 F5 F6 F7 F8 F9 DELL F10 (... F11 -O F12 O PrtScr Insert Delete PgUp 。 Next PgDn Ho

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