What test should I use for this problem?
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What test should I use for this problem?
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- I don’t understand how to solve ‘(b)’. I’m using a TI-84 Plus calculator and need to know how to solve step by step.A pharmaceutical company wanted to study the effectiveness of a new hair growth product in women. It recruited 1100 random women from the L.A. area and measured the length of their hair. They gave 500 women the new product in unmarked bottles to use over a 6-month period. The other 600 women received unmarked bottles with mostly water and fragrance to use over a 6-month period. None of the women knew which product they received. They found that 450 out of 500 women that received the new product showed hair growth of 1-2 inches. Only 90 out of 600 women that used the water/fragrance combination showed hair growth of 1-2 inches. What percentage of women that received the treatment showed hair growth of 1-2 inches? Answer: 450/ 500= 0.9= 90%Solve second one
- The specific research questions in quasi-experimental and experimental tend to be similar to each other. True or False. The significance of the study may be omitted from the introduction of the paper. True or False. The set of specific questions is dependent on the types of quantitative research being performed. True or False. What can be the alternative title for "The power of physical activity" to make it a quantitative research title?Ministry of economic development conducted a survey to determine why people go to trade shows. The respondents were asked to rate a series of reasons on a scale from 1 to 5, with 1 representing little importance and 5 representing great importance. One of the reasons suggested was general curiosity. Responses for 50 people from the electronics industry results in a sample mean of 1.96 and 50 people from the food industry results in a sample mean of 3.02 for general curiosity. Use the data and α = 0.01 to determine whether there is a significant difference between people in these two industries on this question. Assume the variance for the electronics population is 1.0188 and the variance for the food population is 0.9180. Clearly state your null and alternate hypothesis. State the decision rule. Show the calculation of the test statistic. Give your answer to 2 decimal places where appropriate. State the statistical conclusion and explain the result in context of the question.Hi, could you please solve Question 3 using R? For the questions, use the data I provided in the screenshot. (I would like to upload the data, but the program does not let me) Please, write the codes with the explanations. Thank you.
- The table below shows the marks out of 40 for nine students on two tests. The tests cover similar content but on one test the students are allowed to use a calculator while on the other test calculators are not allowed. Student A B Calculator allowed (x) 8 10 Non-calculator (y) 12 14 (b) C 14 6 Student J scored 25 on the test with calculators allowed, but missed the non-calculator test. Use the marks for students A to I to find the value of the Pearson correlation coefficient between the marks x on the test with calculator allowed and the marks y on the non-calculator test, and the equation of the least squares regression line of y on x. (a) (c) D E F G H I 14 16 22 28 32 36 4 28 16 24 22 18 Use the least squares regression line of y on x to estimate the mark of student J on the non-calculator test. Describe the strength of the correlation between the marks on the two tests and explain how this may affect the accuracy of your estimate.You’ll want to use nCr or nPr on your calculator for these first three problems. They are very time- consuming to compute by hand. Remember to use nPr when the order matters and nCr when it does not. You will find both commands by pressing the [MATH] key on your calculator and scrolling over to PROB. The factorial (!) is in this list as well. How many different samples of size 35 may be selected from a population of size 120? How many ways can positions 1 through 10 be decided in a 40-car automobile race? A 40-person city council consists of 21 men and 19 women. If the council president randomly selects 10 council members to work on a community outreach project, how likely is she to pick exactly 5 men and 5 women.How many ways can you arrange the letters of ANTIDIFFERENTIATE if it must end with an E, and the R and the D must be adjacent to each other (RD or DR) ?
- ALREADY HAVE FIRST THREE ANSWERS NEED THE REST. ANOVA. Dr. Milgram is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results. Group 1) “Like a lot” Mean: 8 SS: 2 N: df: Group 2) “Like somewhat” Mean: 5 SS: 6 N: df: Group 3) “Dislike a lot” Mean: 2 SS: 4 N: df: Grand Mean: 4 df Within-Group: 9 df Between-Groups: 2 Estimated Variance (S21) for Group 1: _______ Estimated Variance (S22)…A score of x=70 on an exam with u=82 and o=8, or a score of x=60 on an exam with u=72 and o=12?How to Compute t and p for the difference between means?