The female labor force participation rates (FLFPR) of women in randomly selected countries in 1990 andlatest years of the 1990s are displayed in the table below. Estimate the mean difference between thefemale labor force participation rate in 1990 and the latest years of the 1990s using a 99% confidence level.Round your answers to three decimal places, and use four decimal places for any interim calculations. Youcan use R to get the summary statistics, but you can also solve this problem by hand using skills fromunivariate summaries.Female Labor Force Participation RatesFLFPRCountry25-541990 Late 1990sWith1234567891074.166.168.424.689.427.648.330.235.163.1FLFPR25-5467.863.163.555.884.342.384.235.659.978% confidence, it can be said that the mean difference in the female labor force% andparticipation rate in 1990 to latest years of the 1990s is between%.

The data is given as- Country 1990 Late 1990 1 74.1 67.8 2 66.1 63.1 3 68.4 63.5 4 24.6…

Answered: he female labor force participation…

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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A sample of 9 freshmen takes a reading comprehension test and their scores are a mean of 10 and SS=72. Ifthe mean for the general population on this test is  = 12, can you conclude that this sample is significantlydifferent from the population? Test with  = .05.
please help
In Australia, young people aged 18 to 29 have an average of 394 Facebook friends. This population distribution takes only integer values, so it is certainly not Normal. It is also highly skewed to the right. Suppose that = 280 and you take an SRS of 70 Facebook users from this population. Findings from "Yellow social media report 2018. Part one: -Consumers, published by Yellow and available at www.yellow.com.au/wp- content/uploads/2018/06/Yellow-Social-Media-Report-2018- Consumer.pdf. Attempt 2 Side-by-Side For your sample, what are the mean and standard deviation of x, the mean number of friends per user? Use decimal notation. Give your answers to two decimal places if necessary.
Please help with question 3. Thank you
A pharmaceutical company wants to test the effectiveness of new medication for arthritis pain. Eight randomly selected patients with arthritis are asked to rate their pain on a scale of 1-10 (1 is no pain and 10 is maximum pain) before taking the medication. These same eight patients are then given the medication and one hour later are asked to rate their pain on a scale of 1-10 again. The data are below. Test the hypothesis that the new medication leads to a significant decrease in the mean pain rating. (Hint: you'll see a lot of negative values to show that pain has decreased.) Use .05 as the level of significance. Patient 1 3 4 6 8 Before 7 9- 8. 10 8. 6. After 6. 9. 85 75 4. 2.
Please provide only typed answer solution no handwritten solution needed allowed
Suppose that you were interested in investigating the effect of a drug that is to be used in the treatment of patients who have glaucoma in both eyes. A comparison between the mean reduction in eye pressure for this drug and for a standard treatment is desired. Both treatments are applied directly to the eye. (a) Describe a reasonable method of collecting data that would result in paired samples. Gather a number of volunteers who suffer from glaucoma in both eyes. Measure the pressure in each eye of each participant before the treatments begin. For each experimental subject, randomly assign the treatments to each participant. Once the patients have applied the treatments for a fixed time, measure again the pressures in all the eyes, and compare the mean reduction in pressure for the eyes that have received the new treatment with the mean reduction in pressure for those that have received the standard treatment. O Gather a number of volunteers who suffer from glaucoma in both eyes.…
An important measure in the study of contagious infectious diseases is the number of cases directly generated by one previous case. Jessica is an epidemiologist studying the spread of an infectious disease in her country. She claimed that the mean number of cases directly generated by one previous case is now greater than 1.2. A study of 12 randomly selected cases of the disease is conducted and finds the sample mean number of cases directly generated by one previous case to be 1.5 with a sample standard deviation of 0.7. Assume that the population of the number of cases directly generated by one previous case is approximately normally distributed. Complete the parts below to perform a hypothesis test to see if there is enough evidence, at the 0.10 level of significance, to support the claim that u, the mean number of cases directly generated by one previous case, is greater than 1.2. (a) State the null hypothesis H, and the alternative hypothesis H, that you would use for the test.…
You're a healthcare analytics professional working for Pawhuska, Oklahoma's fourth-largest hospital. You're examining the amount of waiting time that patients classified as ES5 (those with ailments that are not life-threatening) spend in the emergency room. You'll make some changes to emergency room procedures if you find that the mean ES5 waiting time is longer than 18 minutes, the industry standard. Based on a sample of 22 ES5 patients, you found an average and standard deviation of waiting times to be 19.2 minutes and 2.4 minutes, respectively. Draw basic conclusions with the CRITICAL VALUE APPROACH with 99% confidence. Р What is the probability that you conclude that no changes in the emergency room are needed when the actual waiting time for ES5 patients is 20 minutes?
Data are collected in an experiment designed to in- vestigate the impact of different positions of the mother during ultrasound on fetal heart rate. Fetal heart rate is measured by ultrasound in beats per minute. The study includes 20 women who are as- signed to one position and have the fetal heart rate measured in that position. Each woman is between 28 weeks and 32 weeks gestation. The data are shown in Table 7–7. Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance. back side sitting standing 140 141 144 147 144 143 145 145 146 145 147 148 141 144 148 149 139 136 144 145
The mean change in muscle thickness observed after a 4-week training regimen was 4 mm, and the 95% confidence interval (CI) for mean change was (-0.5, 8.5). Which is the best scientific conclusion for the effectiveness of this regimen ?

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