In your sample, there are two groups of people: those who have a high school degree and those who have a bachelor's degree or higher. The following table shows the sample statistics of the two groups. You hypothesize that in general those who have a bachelor's degree or higher should earn more than those who have a high school degree. The estimated standard error is $360. Education Group 1 High school Group 2 BA or higher $19,500 $3,800 169 $20,500 $3,900 Sample size 361 mean st.dev

In your sample, there are two groups of people: those who have a high school degree and those who have a bachelor's degree or higher. The following table shows the sample statistics of the two groups. You hypothesize that in general those who have a bachelor's degree or higher should earn more than those who have a high school degree. The estimated standard error is $360. Education Group 1 High school Group 2 BA or higher $19,500 $3,800 169 $20,500 $3,900 Sample size 361 mean st.dev

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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Refer image to questions -What is the appropriate test to answer this question? -The null and alternative hypotheses are (choose from below) H0: π = 0.7, H1: π ≠ 0.7 H0: β = 0, H1: β ≠ 0 H0: μ = 0, H1: μ ≠ 0 H0: μ = 70, H1: μ ≠ 70 H0: μ1- μ2 = 0, H1: μ1- μ2 ≠ 0 - How can you justify the assumption for this test? (choose from below) -Since nπ and n(1-π) are both ≥5, the Central Limit Theorem applies and we can assume that p arises from a normal distribution -The shape of the histogram indicates that the scores may be from a normal distribution and/or the sample size is reasonably large so the sample mean will be from a normal population -The boxplots indicate that the samples are fairly symmetric and the spreads are similar, so we can assume both sets of data come from normal distributions with the same spread -The points are randomly scattered around a straight line, so the assumptions of linearity and constant spread are satisfied. The shape of the histogram indicates that the…
The null hypothesis: H , :0 The alternative hypothesis: H :0 The type of test statistic: (Choose one) v The value of the test statistic: (Round to at least three decimal places.) The two critical values at the 0.05 level of significance: J and | (Round to at least three decimal places.) Can we support the claim that the life expectancy in Egypt is not equal to the life expectancy in Morocco? O Yes No
- What is the appropriate test to answer this question?(refer image) -The null and alternative hypotheses are(choose from below) H0: π = 0.7, H1: π ≠ 0.7 H0: β = 0, H1: β ≠ 0 H0: μd = 0, H1: μd ≠ 0 H0: μ = 70, H1: μ ≠ 70 H0: μ1- μ2 = 0, H1: μ1- μ2 ≠ 0 - How can you justify the assumption for this test? (choose from below) -Since nπ and n(1-π) are both ≥5, the Central Limit Theorem applies and we can assume that p arises from a normal distribution -The shape of the histogram indicates that the scores may be from a normal distribution and/or the sample size is reasonably large so the sample mean will be from a normal population -The boxplots indicate that the samples are fairly symmetric and the spreads are similar, so we can assume both sets of data come from normal distributions with the same spread -The points are randomly scattered around a straight line, so the assumptions of linearity and constant spread are satisfied. The shape of the histogram indicates that the residuals…
16: How do you solve?
The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. For a random sample of 33 Cadets, each bought "new" two years ago and each sold "used" within the past month, the least-squares regression equation relating the two variables mileage (denoted by x) and used selling price (denoted by y, in dollars) was y = 39.52 – 0.56x . The standard error of the slope of this least-squares regression line was approximately 0.43. Based on this information, test for a significant linear relationship between the two variables by doing a hypothesis test regarding the population slope B,. (Assume that the variable y follows a normal distribution for each value of x and that the other regression assumptions are satisfied.) Use the 0.10 level of significance, and perform a two-tailed test. Then fill in the table below. (If necessary, consult a list of formulas.) Aa The null hypothesis: H : 0 The alternative hypothesis: H :] O=0 OSO The type of test statistic:…
H0 : p = 2/3, α = 0.05, β = 0.7 From the followng hypothesis test, answer to the image.
16: How do you solve?
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how do i put part c into the computer? Takeout Food A magazine article reported that 15% of adults buy takeout food every day. A fast-food restaurant owner surveyed 220 customers and found that 42 said that they purchased takeout food every day. At =α0.05, is there evidence to believe the article's claim? Use the critical value method with tables. Do not round intermediate steps. (a)State the hypotheses and identify the claim. (b)Find the critical value(s). (c)Compute the test value. (d)Make the decision. (e)Summarize the results.
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REQUIRED: • construct the rejection region. • Show the solution in a step-by-step procedure. • state the null and alternative hypotheses • state the null and alternative hypotheses • determine the critical value and sketch the rejection region and non-rejection region in the normal curve.