Interpret the test hypothesis either reject or not. And, how about the significant level?
Q: What statistical analysis correctly analyzes the independent measure ( also known as in between…
A: Here we can say that for independent measures we use t-test for one sample and t-test for two…
Q: Explain Single Observation Summary of Z-test Summary?
A: Z-test: Z-test is a statistical test used to determine whether two population means are different…
Q: when is the significance level determined
A: The significance level defines that the probability of rejecting the null hypothesis when it is…
Q: Briefly explain when a one-way ANOVA procedure is used to make a test of hypothesis?
A: One-Way ANOVA is used to compares the means of two or more independent groups in order to determine…
Q: How to Evaluation of the p -Value Approach?
A: Concept of p-value: The p-value in hypothesis testing is the probability of obtaining a test…
Q: A significance level for a hypothesis test is given as ∝ = .05. Interpret this value
A:
Q: Explain Multiple Observation Summary of Z-test?
A: A Z-test is a statistical test, used to determine whether two population means are different when…
Q: State the general steps of the critical-value approach to hypothesis testing.
A:
Q: Is the test statistic in the rejection region? how do you know ?
A:
Q: what is an example of test measure for validity?
A: Mathematically, the validity coefficient measures the validity of a test which is related to…
Q: Explain why the P-value of a hypothesis test is also referred to as the observed significance level.
A: In this case, one is needed to explain the reason for referring the P-value as the observed…
Q: What is the difference between defining a research problem and developing a hypothesis?
A: The difference between defining a research problem and developing a hypothesis is given below:
Q: What are the differences between histograms and Pareto diagram? Elaborate
A: Introduction :- Here we have to explain what is the difference between histogram and Pareto…
Q: What is an example of criterion validity?
A: Criterion validity To evaluate criterion validity ytou calculate the correlation between the…
Q: How can we compare the P-value to the significance level α.?
A:
Q: Describe the assumptions for ANOVA and explain how they may be diagnosed.
A: Introduction :- There are some assumptions made to conduct ANOVA. We have to describe them and to…
Q: what are the first, second, and third quartiles?
A: 25) Here , we want to find the first , second and third quartile For that we use the R-software or…
Q: What are two reasons that some people in the field believe significance testing should be banned?…
A: Here we want to discuss reasons that some people in the field believe significance testing should be…
Q: What is the explanatory variable ?
A: What is the explanatory variable ?
Q: What is the explanatory variable? Is it categorical or quantitative ?
A: It is an important part of statistics. It is widely used.
Q: List the types of Sensitivity Analysis?
A: Sensitivity Analysis deals with finding out the amount by which we can change the input data for the…
Q: Differentiate between sensitivity analysis and scenario analysis.
A: The difference between the two methods is that sensitivity analysics examines the effect of changing…
Q: Discuss all possible factors that would affect the validity of test scores
A: A test score is the value of the test statistic when the values of the parameter are put.
Q: Describe about the Level of Significance or p -Value?
A: Level of significance: The significance level is a value used as a criterion for deciding how small…
Q: Why is there a need to strictly consider the critical value and test-statistic value in the decision…
A: Critical value: the value of test distribution which separates the critical( rejection) region and…
Q: The instructor thinks that texting will decrease the student’s ability to concentrate. What are the…
A: Claim: The instructor thinks that texting will decrease the student’s ability to concentrate.…
Q: Describe the circumstances in which post hoc tests are used and explain why these tests are…
A: ANOVA is used to compare the means of three or more population. Null hypothesis: The means of the…
Q: Based on the P-value shown in the picture do you reject or fail to reject the null hypothesis?…
A: The P-value is 0.0238.
Q: How to compress the word “access” using the statistical method?
A: The word 'access' in statistics actually mean Data Access. That is, this is a tool by which any user…
Q: What does hypothesis test indicates?
A: Hypothesis test: The process of making inference regarding the population based on the sample is…
Q: Explain why the use of a level of significance of 5% is not best in all circumstances.
A: There are two types of error, which are as follows Type I : Reject the null hypothesis when it is…
Q: Please help find the test statistic, the p-value of the test, if we reject the null, and if there is…
A: Solution: State the hypotheses Null hypothesis: That is, the rate of inaccurate orders is equal to…
Q: es the headline "Infections Lower IQ" imply causation? Expla
A: Observational studies are the studies where the researchers observe and draw inferences based on a…
Q: How to create a good research hypothesis?
A: *Answer : There are several criteria that make a research hypothesis a good one, and following…
Q: Explain the importance of mean and variance of random variable in decision-making. Relate it to STEM…
A: In statistics there are two types of measures namely measures of central tendency and…
Q: Explain what is a Hypothesis and how can we apply Hypothesis Testing into the Statistical world, any…
A: Hypothesis testing in real life is as straight forward as anything, just identify any real life or…
Q: How does the duality theory play a central role in a sensitivity analysis?
A: Duality or Duality Theory in linear programming is essentially a theory that develops the…
Q: What are six differences between the null hypothesis and the research hypothesis?
A: In a hypothesis to test any claim made null hypothesis and the research hypothesis are formed and…
Q: Explain Prerequisites for Single mean?
A: Single mean test: Single mean test is used to compare the mean of a variable in the sample of data…
Q: Based on the data and results of test for normality in the table, complete the parts of hypothesis…
A:
Q: Describe about the Why the Research Hypothesis Isn’t Tested Directly.
A: The null hypothesis is a neutral statement about a population parameter that is never proved or…
Q: Distinguish One-Sample Tests of Hypothesis from Two-Sample Tests of Hypothesis
A: One sample test we have only one group but in two sample test we have two groups.
Q: What is the response variable? Is it categorical or quantitative ?
A: It is an important part of statistics. It is widely used.
Q: What does the word 'quartile' mean?
A: Quartiles are the values that divide a list of numbers into quarters: Put the list of numbers in…
Q: Explain how you may utilize confidence intervals to diagnose the output of a process (or a process)…
A: A confidence interval is a range of characteristics, confined above and below the measurement's…
Q: Would median and quartiles be the right answer?
A: Measures of center : A measure of central tendency is a summary statistic that represents the…
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- A researcher evaluates a new cholesterol medication by measuring cholesterol levels for a group of patients before they begin taking the medication and after they have been taking the medication for 8 weeks. A second researcher measures quality of life for a group of 40-year-old men who have been married for at least 5 years and a group of 40-year-old men who are still single. Explain why the first researcher is probably not concerned about the validity of the measurement, whereas the second researcher probably is. (Hint: What variable is each researcher measuring and how will it be measured?)Assume that last year in a particular state with 700000 children there were 1471 children out of 32500 in a random sample who were diagnosed with Autism Spectrum Disorder. Nationally, 1 out of 88 children are diagnosed with ASD. Is there sufficient data to show that the incident rate of ASD is higher in that state than nationally? Test at the 1% level.A producer invents an additive to increase the life of an automobile battery he produces. If the mean lifetime of the automobile battery without the additive is 48 months, then her hypotheses areA producer invents an additive to increase the life of an automobile battery he produces. If the mean lifetime of the automobile battery without the additive is 48 months, then her hypotheses are
- Calculateaconfidenceinterval for the me-dian ofthe second population.Select your confidenc eleve land reportit with your answer.??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 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) Genenesis Dispensary is contemplating of opening a new branch in Mwanza. If the medical for medical service is favourable, Genesis could realize a net profit of Tsh.100 million. On the other hand, if the market turn out to be unfavourable, it can end up losing Tsh. 40 million. Of course, Genesis may opt not to persue this option of expanding its operations. In the absence of data from which to base its decision, te best guess for Gensis is equally likely that the dispensary will either be successful or unsuccessful Required: i) Use the decison tree approach, what decison should Genesis Dispensary take b) Market research firm named, Easy Market Access approach Genesis with an offer to undertake a study of Mwanza medical service market at a fee of Tsh. 5 million. Easy Market Access claims that their experience enables them to use Bayes’ Theoremn to make the following statements about different state of the market: ▪ Provide that the study is favourable, the probability of favourable…
- A researcher is concerned that his new antihypertensive medication may be causing insomnia in some of his patients. Suppose he gathers an SRS of 65 patients treated with the study drug with a sample average of 6.6 hours of sleep and a σ=1.1. Assuming that insomnia can be quantified as an average of 4.5 hours of sleep, can we determine with 95% confidence that his drug avoids diagnosis of insomnia as a side-effect?After examining these data for all the jurisdictions, someone notes that certain areas have an unusually high “percent of 18-64 yr-olds with no high school diploma.” Based on this finding, this individual concludes that the high percentages are due to the rising population of immigrants in those areas. Further, the individual argues that any estimates of the associated “percent of low-income working families” in those areas should be recalculated after removing this sub-population from the data set, as they are causing the area to “look bad”. In addition to thinking critically, use the key rules about linear regression and extrapolation to write a statistically appropriate and socially responsible response to the individual’s conclusion and argument.A young professor found out from a senior professor that psychology students in St. Alex University tend to do good in their Social Science subject, claiming that historically, the mean grade of psych students in the said course is 1.50. Curious if this claim was true, the young professor took a random sample of 9 students who took Social Science subject. Before collecting data, he was undecided about his own claim because he knew of some students who did really good in the course but has also encountered others who did poorly. He found that their mean grade for the course is 1.35 with a standard deviation of 0.50. Use the Test of Significance Approach in testing the young professor’s claim. a. Estimate μ at 90% confidence interval. b. Between z and t, which is more appropriate to use given the data? Why? c. What are the chances that your estimate of μ was wrong? Describe and explain a potential source of error to your estimate. d. Holding % of CI constant, what can you do to lower…