Determine the Range of math proficiency scores of students taught by the NewMethod.Determine the Pseudo-Standard deviation (PSD) of math proficiency scores ofstudents taught by the New Method.Determine the Range of math proficiency scores of students taught by the StandardMethod.Determine the Interquartile Range (IQR) of math proficiency scores of students taughtby the New Method.Determine the Pseudo-Standard deviation (PSD) of math proficiency scores ofstudents taught by the Standard Method.. Determine the standard deviation (s) of math proficiency scores of students taught bythe New Method. I. In the following study educational researchers were interested in whether a NewMethod for teaching mathematics was more effective than the Standard Method. Asample of 20 students were taught by the Standard Method, while another sample of15 students were taught by the New Method. Each student was given a mathematicsproficiency test at the end of the teaching period. The scores on this test are tabulatedbelow:Standard 54.2 61.9 69.2 76.1 55.8 67.3 73.9 67.3 73.9 71.4MethodNewMethod76.4 69.6 66.0 81.1 66.6 77.2 89.9 85.4 66.3 67.977.5 70.3 63.2 33.4 55.6 42.0 13.8 10.7 36.9 71.637.9 23.7 14.5 26.6 55.2Some Summary Statistics are given below:ErEx?Standard 20MethodNewMethod1417.4 101932.7015632.933669.55

Name: Determine the Range of math proficiency scores of students taught by
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: Determine the Range of math proficiency scores of students taught by the NewMethod.Determine the Pseudo-Standard deviation (PSD) of math proficiency scores ofstudents taught by the New Method.Determine the Range of math proficiency scores of student

“Since you have posted a question with multiple sub-parts, we will solve first three subparts for…

Math

Statistics

Determine the Range of math proficiency scores of students taught by the New Method. Determine the Pseudo-Standard deviation (PSD) of math proficiency scores of students taught by the New Method. Determine the Range of math proficiency scores of students taught by the Standard Method. Determine the Interquartile Range (IQR) of math proficiency scores of students taught by the New Method. Determine the Pseudo-Standard deviation (PSD) of math proficiency scores of students taught by the Standard Method. Determine the standard deviation (s) of math proficiency scores of students taught by the New Method.

Determine the Range of math proficiency scores of students taught by the New Method. Determine the Pseudo-Standard deviation (PSD) of math proficiency scores of students taught by the New Method. Determine the Range of math proficiency scores of students taught by the Standard Method. Determine the Interquartile Range (IQR) of math proficiency scores of students taught by the New Method. Determine the Pseudo-Standard deviation (PSD) of math proficiency scores of students taught by the Standard Method. Determine the standard deviation (s) of math proficiency scores of students taught by the New Method.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

five samples of 15 minerals are taken from a population. The sample means for hardness of the minerals are 6.5, seven, seven, 6.5, and six. The standard deviation for the mineral is .745. Find the meaning of the sample means and the standard deviation of the sample means for the hardness
Newborn babies: A study conducted by the Center for Population Economics at the University of Chicago studied the birth weights of 716 babies born in New York. The mean weight was 3506 grams with a standard deviation of 868 grams. Assume that birth weight data are approximately bell-shaped. Estimate the number of newborns who weighed between 1770 grams and 5242 grams. Round to the nearest whole number. The number of newborns who weighed between 1770 grams and 5242 grams is
A company conducted a survey on the number of hours employees spend on a particular task per week. The data collected from a sample of 10 employees are as follows: 5, 6, 7, 8, 9, 10, 10, 11, 12, 13. Calculate the standard deviation of the hours spent on the task per week.
A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 99.3-cm and a standard deviation of 1.5-cm. For shipment, 25 steel rods are bundled together.Find P27, which is the average length separating the smallest 27% bundles from the largest 73% bundles. P27 =
Use the following set of numbers (6, 2, 4, 2, 8, 3, 10, 10, 2, 4) to determine the sum of squares , sample standard deviation , and population standard deviation .
Nikita is a government official looking to find evidence on whether the mean taxable income for an individual taxpayer in the region dropped since the previous year. She surveyed 32 individual taxpayers in the region and found the taxable income of each individual as shown in the data set provided. Instead of using the standard deviation from the survey, Nikita decided to use the census data for the region to assume that the population standard deviation of income is $26,744. The mean taxable income in the region was $62,712 for the previous year. (a) H0:μ=$62,712;Ha:μ<$62,712, which is a left-tailed test. (b) Taxable income of each individual is given below. Use Excel to test whether this year's mean taxable income for an individual taxpayer in the region is less than the mean taxable income from the previous year, and then draw a conclusion in the context of the problem, where α=0.10. Calculate the test statistic, z, rounding to two decimal places, and the p-value, rounding…
A basketball player makes 56 free throws in a season. The average number of free throws made in the league is 52, and the standard deviation is 4. A softball player makes 42 hits in a season. The average number of hits mase in the league is 38, and the standard deviation is 6. Calculate Z-scores for the two and compare them. Which one is better at their sport?
A researcher studied 5050 adults daily screen time. She had them record the amount of hours (rounded to the nearest hour) they spent looking, listening or reading at computer or cell phone daily. The frequency table below shows the results. Hours of Screen Time Frequency 7 5 8 6 9 4 10 5 11 8 12 10 13 9 14 3 The researcher found that the mean number of hours of the data set was 10.7210.72. She wants to also find range and standard deviation. Find the range of the data set.range = Find the standard deviation of the data setstandard deviation = Round your result to two decimal places.
Londell, an accomplished marathon runner, claims that the standard deviation for his time to run a 26.2 mile marathon is less than 11.1 minutes. To test his claim, Londell looks up 17 of his race times (in minutes): 238.6, 240, 231.4, 241.4, 251.9, 230.4, 232.1, 235.7, 234.6, 242.9, 240.5, 237.6, 242.2, 245.7, 235.7, 240.2, 233.9 Perform a hypothesis test using a 1% level of significance to test Londell's claim. Step 1: State the null and alternative hypotheses. Ho:o Ha:o (So we will be performing a left-tailed 11.1 11.1 Part 2 of 4 Step 2: Assuming the null hypothesis is true, determine the features of the distribution of test statistics. Because we are testing the population standard deviation, we will use a x² distribution with 16 ✓degrees of freedom. P(x² ? ✓✓test.) Step 3: Find the p-value of the test statistic. Sample Mean: = Sample Standard Deviation: s = p-value = Submit Part Part 3 of 4
A recent survey reported that 47% of 18- to 29-year-olds in a certain country own tablets. Use binomial distribution. What are the mean and standard deviation of the number of 18 to 29 year old who will own a tablet in a survey of six?
z Scores LeBron James, one of the most successful basketball players of all time, has a height of 6 feet 8 inches, or 203 cm. Based on statistics from Data Set 1 “Body Data” in Appendix B, his height converts to the z score of 4.07. How many standard deviations is his height above the mean?
A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 122.7-cm and a standard deviation of 0.5-cm.Find P15, which is the length separating the shortest 15% rods from the longest 85%.P15 = -cm