Second Grade and Ninth Grade students were given an IQ test, with no special information given to their teachers. The teachers were then told that some of their students were about to have an "intellectual growth spurt." The students then had their IQ measured again 6 months later. We want to determine if the teacher expectation or age or student may have had an effect on their IQs Grade of Teacher IQ (points) Student Expectation 2nd Normal 100 2nd High 115 9th Normal 110
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- An organization published an article stating that in any one-year period, approximately 7.5 percent of adults in a country suffer from depression or a depressive illness. Suppose that in a survey of 100 people in a certain town, six of them suffered from depression or a depressive illness. Conduct a hypothesis test to determine if the true proportion of people in that town suffering from depression or a depressive illness is lower than the percent in the general adult population in the country. 1. Enter your answer to two decimal places. p' = 2. Calculate ?x. (Round your answer to three decimal places.) 3. Find the p-value. (Round your answer to four decimal places.)An organization published an article stating that in any one-year period, approximately 11.5 percent of adults in a country suffer from depression or a depressive illness. Suppose that in a survey of 100 people in a certain town, nine of them suffered from depression or a depressive illness. Conduct a hypothesis test to determine if the true proportion of people in that town suffering from depression or a depressive illness is lower than the percent in the general adult population in the country. Calculate σx. (Round your answer to three decimal places.)/ Show the formula set-up. State the distribution to use for the hypothesis test. Find the p-value. (Round your answer to four decimal places.)The department of education ran a very comprehensive study in the 1990's to determine the GPA of first generation college students (those who are the first in their family to go to college) in their freshman year. The mean GPA for first generation college students was stated in teh report to be 2.37 for males and 2.21 for females. In 2018, a consumer advocacy group is interested in whether the average GPA for first generation college females was still smaller than their male counterparts. Assume the GPA's are normally distributed. A. State the null hypothesis and the alternative hypothesis. Is the advocacy group interested in a one tail or two tail test (brief explanation)? B. Find the value of the test statistic and an associated p-value (or a range for teh p-value) if 25 males SAR yielded an average GPA 2.46 with a standard deviation of 0.16 and 25 females SAR yeilded an average GPA 2.39 with a standard deviation of 0.12. C. Determine if the test requires use of the Z table or…
- Also construct a Pareto chartIn a recent survey, 32% of employed U.S. adults reported that basic mathematical skills were critical or very important to their job. The supervisor of the job placement office at a 4 year college thinks this percentage has increased due to increased use of technology in the workplace. She takes a random sample of 250 employed adults and finds that 95 of them feel that basic mathematical skills are critical or very important to their job. Is there sufficient evidence to conclude that the percentage of employed adults who feel basic mathematical skills are critical or very important to their job has increased at the a=.1 level of significance? what are the null and alternative hypotheses? determine the test statistic. Z0= ? please show work and explain how to use ti 83 calc to solveTo the Internal Revenue Service (IRS), the reasonableness of total itemized deductions depends on the taxpayer’s adjusted gross income. Large deductions, which include charity and medical deductions, are more reasonable for taxpayers with large adjusted gross incomes. If a taxpayer claims larger than average itemized deductions for a given level of income, the chances of an IRS audit are increased. Data (in thousands of dollars) on Adjusted Gross Income (AGI) and the Reasonable Amount of Itemized Deductions (RAID) are as follows: AGI : 22, 27, 32, 48, 65, 85, 120 RAID : 9.6, 9.6, 10.1, 11.1, 13.5, 17.7, 25.5 The correct interpretation of the meaning of each of the coefficients in the linear model is: a. When AGI is zero, the RAID is $4680 in this linear model. Since x = 0 is not included in the sample values of the independent variable, this interpretation cannot be a meaningful one. For every one thousand dollar of the AGI, the RAID increases by $161 in this linear model.…
- To the Internal Revenue Service (IRS), the reasonableness of total itemized deductions depends on the taxpayer’s adjusted gross income. Large deductions, which include charity and medical deductions, are more reasonable for taxpayers with large adjusted gross incomes. If a taxpayer claims larger than average itemized deductions for a given level of income, the chances of an IRS audit are increased. Data (in thousands of dollars) on Adjusted Gross Income (AGI) and the Reasonable Amount of Itemized Deductions (RAID) are as follows: AGI : 22, 27, 32, 48, 65, 85, 120 RAID : 9.6, 9.6, 10.1, 11.1, 13.5, 17.7, 25.5 Examine the attached printout and answer the following questions. The correct interpretation of the meaning of each of the coefficients in the linear model is: a. When AGI is zero, the RAID is $4680 in this linear model. Since x = 0 is not included in the sample values of the independent variable, this interpretation cannot be a meaningful one. For every one…To the Internal Revenue Service (IRS), the reasonableness of total itemized deductions depends on the taxpayer’s adjusted gross income. Large deductions, which include charity and medical deductions, are more reasonable for taxpayers with large adjusted gross incomes. If a taxpayer claims larger than average itemized deductions for a given level of income, the chances of an IRS audit are increased. Data (in thousands of dollars) on Adjusted Gross Income (AGI) and the Reasonable Amount of Itemized Deductions (RAID) are as follows: a. When AGI is zero, the RAID is $4680 in this linear model. Since x = 0 is not included in the sample values of the independent variable, this interpretation cannot be a meaningful one. For every one thousand dollar of the AGI, the RAID increases by $161 in this linear model. b. When AGI is zero, the RAID is $4680 in this linear model. For every one thousand dollar of the AGI, the RAID increases by $161 in this linear model. c. When…To the Internal Revenue Service (IRS), the reasonableness of total itemized deductions depends on the taxpayer’s adjusted gross income. Large deductions, which include charity and medical deductions, are more reasonable for taxpayers with large adjusted gross incomes. If a taxpayer claims larger than average itemized deductions for a given level of income, the chances of an IRS audit are increased. Data (in thousands of dollars) on Adjusted Gross Income (AGI) and the Reasonable Amount of Itemized Deductions (RAID) are as follows: AGI : 22, 27, 32, 48, 65, 85, 120 RAID : 9.6, 9.6, 10.1, 11.1, 13.5, 17.7, 25.5 Examine the attached printout and answer the following questions. The correct interpretation of the meaning of each of the coefficients in the linear model is:
- A study showed that the alumni of a college who had grades that were close to the average tended to have higher incomes than either the poor or very good students who graduated at the same time. Does this mean that very good grades are a handicap for those seeking high incomes? What other factors might cause this result?A random sample of 30 colleges from Kiplinger's list of the best values in private college provided the data shown in the file BestPrivateColleges.† The variable named Admit Rate (%) shows the percentage of students that applied to the college and were admitted, and the variable named 4 yr Grad. Rate (%) shows the percentage of students that were admitted and graduated in four years.A bank Manager developed a new System to reduce the time customers spend waiting for a teller service during peak hours. The Manager hopes that the new system will reduce the waiting time from the current 9 to 10 minutes to less than 6 minutes. Suppose that the Manager wishes to use the 100 waiting times to support the claim that the mean waiting time under new system is shorter than 6 minutes.a) Letting µ represent the mean waiting time under the new system, set up the null hypothesis and alternative hypothesis needed if we want to attempt to provide evidence supporting claim that µ is shorter than 6 minutes.b) In the context of this situation interpret making a type I error, interpret making a type II error.