A school district has a standardized test that it uses to determine placement into special classes. Thesuperintendent is looking to determine whether male and female students have different scores on the test.The scores for a random sample of 25 male students and 25 female students are recorded. Assume that thescores are normally distributed for both male and female students. Let the male students be the first sample,and let the female students be the second sample. Is there enough evidence, at a = 0.01 to show a differencebetween male and female scores?Identify the degree of freedom and the critical value(s) to be used for this hypothesis test. Do not round; usethe exact value from the t-table.Degree of freedom =Provide your answer below:Critical Value(s) =Males Femalesx1 = 168x2 = 171$1 = 14$2 = 17n1 = 25n2 = 25ProbabilityDegrees of Freedom232425262728290.10 0.05 0.025 0.01 0.0051.319 1.714 2.069 2.500 2.8071.318 1.711 2.064 2.492 2.7971.316 1.708 2.0602.485 2.7871.315 1.706 2.0562.479 2.7791.314 1.703 2.0522.473 2.7711.313 1.701 2.048 2.467 2.7631.311 1.699 2.045 2.462 2.7569.3k Two Means Independent Samples. Homework.

To find the degrees of freedom (df) and critical values for a two-sample t-test, you can follow…

Answered: A school district has a standardized…

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 gym manager is interested in whether the ‘beginner’ and ‘expert’ climbing walls (that were of the same height) at her facility are actually different from each other. To test this, she decides to look at the time it takes people to reach the top of both walls. She recruits 25 students and has them each climb both walls and looks for differences between the ‘beginner’ wall climbing times and the ‘expert’ wall climbing times. Select one: a. single sample t-test b. one-way ANOVA c. paired samples t-test d. z-test e. factorial ANOVA f. t-test independent means
The average worker at a local brake manufacturer produces 10 brakes per day (other statistical information was not known). An industrial psychologist was hired to increase worker productivity and a new assembly method was designed and tested in a sample of workers. Identify the appropriate test. Select one: a. independent samples t test b. z test c. single sample t test d. paired samples t test
2. In a population it is estimated that 20% have a desired trait of interest for the researcher. The researcher wants to know how many people on average he has to draw from a population to get 2 people with the trait. Use rows 20-24 of the Random Number Table to carry out the simulation. Explain clearly how you set up the problem and report your findings. Answer:
The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages.
One cable company advertises that it has excellent customer service. In fact, the company advertises that a technician will be there within 30 minutes of when a service call is placed. One frustrated customer believes this is not the truth, claiming that it takes over 30 minutes for the cable repairman to arrive. The customer asks 15 of his neighbors how long it has taken for the cable repairman to arrive when they have called for him. The sample mean for this group is 32.2 minutes with a sample standard deviation of 3.6 minutes. Test the customer’s claim at the 0.02 level of significance. (a) State the null and alternative hypotheses (b) Find the value of your test statistic. Draw a picture and label its location on the normal curve. Also shade the area where you will find the p-value. (c) Calculate the p-value from the sample data. Compare it to the significance level. Label it’s value and location on your bell curve (d) Write a full…
The average final exam score for the statistics course is 43%. A professor wants to see if the average final exam score for students who are given colored pens on the first day of class is larger. The final exam scores for the 19 randomly selected students who were given the colored pens are shown below. Assume that the distribution of the population is normal. 54, 38, 45, 47, 42, 42, 48, 38, 56, 51, 46, 41, 43, 41, 37, 40, 53, 43, 43 Copy to clipboard What can be concluded at the = 0.05 level of the significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? Select an answer H1: ? Select an answer c. The test statistic ? v (please show your answer to 3 decimal places.)
An experiment was performed to compare the lumen measurements obtained by four pho- tometry labs. A collection of six lamps was prepared and circulated to each of the labs. Each lab measured each lamp twice and measurements were made in completely random order. Analyze the data and interpret the results. Construct an appropriate error statement for this data set. Lab A B C D #71522 2409, 2494 2465, 2693 2499, 2365 2556, 2498 #71533 4477, 4182 4485, 4283 4131, 4076 4297, 4481 Lamp #71534 8861, 8739 9638, 9084 9272, 8904 9579, 8479 #71535 10213, 10281 #71536 20601, 22996 11138, 11560 10479, 10468 11151, 11015 23797, 23625 22106, 20773 20884, 22430 #71537 35985, 40224 42457, 41064 39140, 37987 39049, 37204
In a simple random sample of 1200 young people, 86% had earned a high school diploma. What is the standard error for this estimate of the percentage of all young people who earned a high school diploma?
Use the data and table below to test the indicated claim about the means of two paired populations (matched pairs). Assume that the two samples are each simple random samples selected from normally distributed populations. Make sure you identify all values. The table below shows the blood glucose of 20 students before breakfast and two hours after breakfast, using a specific insulin dosing formula to cover carbohydrates. Is there compelling statistical evidence that the specific insulin dosing formula is effective in reducing blood glucose levels? Use a significance level of 0.05. We have the differences (gain or loss), but we still need to compute the mean, standard deviation, and know the sample size for the differences (use Excel or Sheets for this computation). Once those are found, we can apply methods that are used for a 1 sample t-test. Student Before Meal After Meal Difference 1 161 114 -47 2 196 88 -108 3 132 80 -52 4 175 96 -79 5 169 112 -57 6 138 137…

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