There are exactly as many females as males in a given population. According to a study released by Long-life University of Medicine, 17 out of the 20 oldest people in this population are females. I'd want to test the hypothesis that females live longer lives than males in this population (using alpha=0.01, one-tail). Please answer the following questions: 1. Report the null hypothesis. 2. Report the alternative hypothesis. 3. Find the critical value: 4. Calculate the obtained statistic: 5. Make a decision. 6. What does your decision mean

There are exactly as many females as males in a given population. According to a study released by Long-life University of Medicine, 17 out of the 20 oldest people in this population are females. I'd want to test the hypothesis that females live longer lives than males in this population (using alpha=0.01, one-tail). Please answer the following questions: 1. Report the null hypothesis. 2. Report the alternative hypothesis. 3. Find the critical value: 4. Calculate the obtained statistic: 5. Make a decision. 6. What does your decision mean

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

See similar textbooks

Related questions

Q: A medical student at a community college in city Q wants to study the factors affecting the systolic…

A: Given : n(sample size) =150 Line of reg. is : y^=15.50+0.90B+1.10A (0.48)…

Q: The stated goal of a chain of service stores is to provide a lube and oil change for anyone's…

A: First, we need to compute the proportion of cars serviced in 15 minutes or less (p) and the standard…

Q: A farmer has two types of beans and wants to determine which produces a better bean of greater…

A: Given The data is as follows: Nutritional content Genotype High Low bb 8 4 Bb 6 2

Q: Sleep apnea is a condition in which the sufferers stop breathing momentarily while they are asleep.…

A: Test statistic is the measure used to determine there exist significance between the sample and…

Q: Sleep apnea is a condition in which the sufferers stop breathing momentarily while they are asleep.…

A: From given data we have : simple random sample of 339 commercial truck drivers is examined by a…

Q: Previous research showed that 15% percent of teenagers between the ages of 13 and 17 smoke. A study…

A: Given,Population proportion(P)=0.15sample size(n)=785no.of teenagers smoke who has age between 13 to…

Q: to believe that this ratio has changed and we want to perform a hypothesis test to see if this can…

A: Population proportion p=70%=0.70

Q: 12% of all Americans suffer from sleep apnea. A researcher suspects that a higher percentage of thos…

Q: A commonly cited study says that 49% of students study less than 5 hours per week. A researcher does…

A: In a hypothesis test,Null Hypothesis proposes that there is no statistical signifiance exists, or…

Q: Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported…

A: The hotel occupancy in Florida for the current year and the previous year is given as follows:

Q: DM Group The provided boxplots compare the improvement scores for the 40 children in each group. Use…

A: It is an important part of statistics. It is widely used.

Q: Tardigrades, or water bears, are a type of micro-animal famous for their resilience. In examining…

A: We want to test the hypothesis

Q: According to Facebook’s self-reported statistics, the average Facebook user has 130 Facebook…

A: We have given that Population mean =130 Sample size n =45

Q: without treatment, 20 out of 100 clients with depression will improve. After developing a new…

A: 20 out of 100 clients with depression improved w/o treatment and after developing a new treatment…

Q: Match each of the following pairs of hypotheses to the name of the hypotheses that would use that…

A: Here, we need to choose correct test for the given statements.

Q: A random selection of volunteers at a research institute have been exposed to a typical cold virus.…

A: The claim is that the mean recovery time μ1 of the patients treated with multivitamin is less than…

Q: A large university is planning to build a new parking garage on campus that will be paid for by a…

A: Parameter of interest : parameter that we’re interested in estimating during a data collection…

Q: Approximately 10%10% of Americans are left-handed (we will treat this as a known population…

A: From the provided information, Sample size (n) = 105 From which 16 were left-handed.

Q: According to a census company, 7.1% of all babies born are of low birth weight. An obstetrician…

Q: A pharmaceutical company has developed a drug that is expected to reduce hunger. To test the drug,…

A: Given that : A pharmaceutical company has developed a drug that is expected to reduce hunger. To…

Q: You wish to test whether a particular drug manages to bring body temperature down. So, you conduct a…

A: Given information- No. of people receive the drug, n1 = 47 No. of people receive a placebo, n2 = 45…

Q: You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to…

A: The objective of this question is to test the claim that the percentage of people who take Tamiflu…

Question

Please answer the following questions:

1. Report the null hypothesis.

2. Report the alternative hypothesis.

3. Find the critical value:

4. Calculate the obtained statistic:

5. Make a decision.

6. What does your decision mean?

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step 3

VIEW

Step by step

Solved in 3 steps with 2 images

SEE SOLUTION Check out a sample Q&A here

Similar questions

Suppose we want to study the effect of smoking on lung capacity in women. Match the study to experimental or observational. Find 100 women age 20 who do not currently smoke. Randomly assign 50 of the 100 women to the smoking treatment and the other 50 to the no smoking treatment. Those in the smoking group smoke a pack a day for 10 years while those in the control group remain smoke free for 10 years. Measure lung capacity for each of the 100 women. Find 100 women age 30 of which 50 have been smoking a pack a day for 10 years while the other 50 have been smoke free for 10 years. Measure lung capacity for each of the 100 women. Analyze, interpret, and draw conclusions from data.
Iron is an integral part of many proteins and enzymes that maintain good health. Recommendations for iron were developed by an institute of medicine for a certain region. The recommended dietary allowance (RDA) of iron for adult females under the age of 51 years is 17.5 milligrams (mg) per day. A hypothesis test is to be performed to decide whether adult females under the age of 51 years are, on average, getting more than the RDA of 17.5 mg of iron per day. Complete parts (a) through (c). a. Determine the null hypothesis. Ho: H mg (Type an integer or a decimal. Do not round.)
Dr. Luo hypothesizes that wives are happier than their husbands. She measured a group of married couples’ marital happiness and the data are as follows: couple Wives Husbands 1 98  93 2 94  90 3 96 95 4 91 92 5 97 95 6 97 91 a. Are wives significantly happier than their husbands in the marriage? Use alpha = .05.   b. If Dr. Luo decided to reject the null hypothesis (assuming she was completely correct in calculations), what is the probability that she made a Type I error?
University officials hope that changes they have made have improved the retention rate. Last year, a sample of 2049 freshmen showed that 1537 returned as sophomores. This year, 1516 of 1942 freshmen sampled returned as sophomores. Determine if there is sufficient evidence at the 0.05 level to say that the retention rate has improved. Let last year's freshmen be Population 1 and let this year's freshmen be Population 2. Step 2 of 3 : Compute the value of the test statistic. Round your answer to two decimal places.
The average American man weighs 197.9 pounds; this can be treated as the population mean. I want to assess whether or not American men at a southwestern college weigh significantly different from the average weight. Test this hypothesis at an alpha of 0.05. The average American man weighs 197.9 pounds; this can be treated as the population mean. I want to assess whether or not American men at a southwestern college weigh significantly different from the average weight. Test this hypothesis at an alpha of 0.05. null hypothesis: H0: μ= 197.9 alternative hypothesis: H1: μ ≠ 197.9 Data: 178, 189, 198, 205, 210, 204, 189, 183, 190, 200, 166, 189, 174, 145, 160 degrees of freedom: N-1 , 15-1, 14 What is the critical t value (t table)? ________ What is the obtained t value? ____________ What can you conclude?
Read through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…
University Registrar office wants to see if the proportions of undergraduate students that will graduate in 2017 and 2018 and who plan to continue their studies at University are equal or not. For that purpose, they collect samples of 50 people from each group. Out of the 2017 group, 20 answered yes. Out of 2018, 25 answered yes. At alpha 0.05, are the population proportions equal or not? Select one: a. Reject Null, Z stat =1.96 b. Fail to reject Null, Z stat= 1.005 c. Fail to reject Null, Z stat =1.96 d. Reject Null, Z stat= 1.005
Read through this scenario and look at the data that was collected. State the null and all possible research hypotheses. Review the results below (I used SPSS) and answer the questions that follow. Scenario: A researcher wants to see if gender and/or income affect the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affect the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables…
Oliver is an employee at a pharmaceutical company. Recently, he has been trying to develop a test kit for the recently discovered Sentosa coronavirus (which caused 3 out of 4 of his colleague, Jamie's, family to be infected). Oliver knows that the virus is relatively virulent and estimates that 15% of the population has the disease. Due to limitations in technology, Oliver cannot develop a testing kit that wrongly predicts a healthy individual to be positive less than 1.5% of the time. How accurate, in terms of the probability that an infected individual is tested positive, must Oliver get his test kit to, in order to achieve a probability of correctly identifying the disease given that the test is positive of at least 90%? (Leave your answer in terms of percentages, rounded to the nearest one decimal place. DO NOT key in % into your answer.)
Workers in the office like to drink coffee during work. A doctor is concerned about this situation since the too much coffee consumption may result to long-term health problems. However, studies suggests that there is no risk in drinking three cups of coffee per day, which is about 250 mg of caffeine. The doctor wants to know if the amount of caffeine consumed by the workers is within tolerable limits. He randomly selected 20 students and found that they consume an average of 270 mg of caffeine each day with a standard deviation of 48 mg. Assume that the daily amount of caffeine consumed by students follow the normal distribution.1. Which of the following sets of hypotheses should be used in this study? A. Ho: μ = 250 vs. Ha: μ > 250 B. Ho: μ ≤ 250 vs. Ha: μ > 250 C. Ho: μ = 270 vs. Ha: μ > 270 D. Ho: μ = 270 vs. Ha: μ ≠ 270 2. Which of the following is(are) TRUE? I. The appropriate test procedure to answer the objective of the study is a…
A health officer is trying to study the malaria situation of Zambia. From the records of seasonal blood survey (SBS) results he came to understand that the proportion of people having malaria in Zambia was 3.8% in 2015. The size of the sample considered was 15,000. He also realized that during the year that followed (2016), blood samples were taken from 10,000 randomly selected persons. The result of the 2016 seasonal blood survey showed that 200 persons were positive for malaria. Help the Health officer in testing the hypothesis that the malaria situation of 2016 did not show any significant difference from that of 2015 (take the 5% level of significance).
A researcher wishes to try three different techniques to lower the blood pressure of individuals diagnosed with high blood pressure. The subjects are randomly assigned to three group: the first group takes medication, the second group-exercises. And the third group follows a special Diet. After four weeks, the reduction in each person's blood pressure is recorded. At alpha = 0.05, test the claim that there is no difference among the means. The data are shown Medication Exercise Diet 8 10 4 7 9 3 13 15 1 7 12 1 7 Questions 1) What is the average in treatment 1(medication) 2) What is the average in treatment 2? 3) What is the average in treatment 3? 4) What is the variance in treatment 1? 5) What is the variance in treatment 27| 6) What is the variance in treatment 3? 7) What is the degree of freedom in numerator? 8) What is the degree of freedom in the denominator? 9) What is the value of Ratio or F calculated? 10) What is the value of F critical of F table? 11) What is the correct…