p = proportion of students who drop out due to lack of economic resourcesA sociologist thinks that in his country the percentage of students who drop out due to lack of economic resourcesis different from 40%.identify1. The research hypothesis H12. The null hypothesis HO3. The rejection region of the null hypothesisSelect one:1. Н%: р 3D 0.42. Hо: р 2 0.43. (-00, -z] U [z,00)1. H1: p + 0.042. Hо: р %3D 0.043. (-00, -z] U [z , 0)1. H;: p = 0.42. Họ: p + 0.43. [z, 00)1. H1: p + 0.42. Hо: р %3D 0.43. (-0о , -2]

The claim is that the percentage of students who drop out due to lack of economic resources is…

Answered: p = proportion of students who drop out…

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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Use the five steps in hypothesis testing. 1. Agriculture: Ground Water Unfortunately, arsenic occurs naturally in some ground water (Reference: UnionCarbide Technical Report K/UR-1. A mean arsenic level of parts per billion (ppb) is considered safe foragricultural use. A well in Texas is used to water cotton crops. This well is tested on a regular basis for arsenic. Arandom sample of 37 tests gave a sample mean x̄ = 7.2 ppb arsenic, with s= 1.9 ppb. Does this information indicate that the mean level of arsenic in this well is less than 8 ppb? Use a= 0.01
Compressive Strength (psi) ANOVA Question Compressive strength of concrete is being studied. Four different mixing techniques are being investigated. The following data have been collected. Determine if the mixing techniques affect the compressive strength of the concrete. Unstaked Data 1 3129 3200 2965 2990 3050 Mixing Type 2 3 3200 3300 2975 3150 3025 2800 2900 2985 2960 2950 4 2600 2555 2600 2665 2650 Stacked Data Mixing Type 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 Compressive Strength (psi) 3129 3200 2965 2990 3050 3200 3300 2975 3150 3025 2800 2900 2985 2960 2950 2600 2555 2600 2665 2650
- test the null hypothesis that the population mean, u is 14.
е. Sample region 6. Question: In a hypothesis test, what does the values of T(0) signify? a. Smallest level of significance for rejection of Null Hypothesis. b. Largest level of significance for rejection of Null Hypothesis. c. Smallest level of significance for acceptance of Null Hypothesis d. Largest level of significance for acceptance of Null Hypothesis 3
4 4G I. moodle.unizwa.edu.om a | Quiz3 Time left 0:00:21 Question 3 Answer saved Marked out of 2.00 P Flag question Which one of the following choices describes a problem for which an analysis of variance would be appropriate? O A. Comparing the proportion of successes for three different treatments of anxiety. Each treatment is tried on 100 patients O B. Analyzing the relationship between high school GPA and college GPA O . Analyzing the relationship between gender and opinion about capital punishment (favor or oppose). O D. Comparing the mean birth weights of newborn babies for three different hospitals. O E. None of these Clear my choice Previous page Next page 1 2w-ANOVA(3) Jump to... Quiz navigation 7 +
3. Can SAT scores predict college performance? Let x be a variable that represents SAT score of a computer science major, and let y be a variable that represents a student’s GPA upon graduation. A random sample of n =15 computer science majors provided their SAT scores and GPAs: x 1232 1070 1086 1287 1130 1048 1121 1095 1135 1208 1333 1160 1186 1243 1261 y 3.52 2.91 2.4 3.47 3.47 2.37 2.4 2.24 3.02 3.32 3.59 2.54 3.19 3.71 3.58 The scatter diagram for the SAT score and GPA is given below: (a) Find the sample correlation coefficient r. Truncate to two decimal places. What does the value tell you about the data? (b) Find the equation of the least squares line . Truncate to four decimal places. What does the slope mean? (c) Find the value of the coefficient of determination . Truncate to two decimal places. What does this number mean? (d) What is the predicted GPA if a computer science major got a…
College students and STDs: A recent report estimated that 25% of all college students in the United States have a sexually transmitted disease (STD). Due to the demographics of the community, the director of the campus health center believes that the proportion of students who have a STD is higher at his college. He tests H0: p = 0.25 versus Ha: p > 0.25. The campus health center staff select a random sample of 150 students and determine that 43 have been diagnosed with a STD. Conduct a hypothesis test to address the director’s hypothesis. Use a 5% significance level to make your decision. Use the applet to determine the P‑value. Click here to open the applet. Which of the following is an appropriate conclusion based on the results? The data provides strong evidence that the proportion of students at his college who have a STD is more than 25%. The data suggests that the proportion of students at his college who have a STD is 29%. Of the students surveyed at his college, 29%…
Suppose your null hypothesis is that engineering majors earn more than $80,000. Further, researchers collect and analyze sample data that leads them to fail to reject this null hypothesis. However, in the population, it is true that engineering majors earn less than $80,000. What would we call this error? a. Type I error b. Type II error c. No error occured d. Error equal to the level of significance
State whether each hypothesis is null or alternative. 1. The average iricome of families per month in a certain town is 38,000 pesos. 2. The proportion of husbands using motorcycles in region 2 is more than 50%. 3. The proportion of patients with lung cancer is higher among smokers than among nonsmokers.

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