Sample mean for the Sample 1 is, m1 = 409.083 and for the Sample 2 is, m2 = 353.5
The pooled standard deviation is given by Sp = 45.41922
Therefore the confidence interval is given by ( (m1 - m2) - t Sp , (m1 - m2) + t Sp )
The value of t for 80% confidence level and degrees of freedom n1 + n2 -2= 22 is t = 1.321
Therefore the confidence interval for the difference between the two population means is given by ( 31.09 , 80.08 ) (rounded to two decimal points)
Construct an 80% confidence interval for the difference between two population means using the sample data...
Construct an 80% confidence interval for the difference between two population means Sample 1 Sample 2 364 367 403 466 415 312 332 359 404 461 384 421 319 275 412 335 350 414 418 457 295 358 435 395 The 80% confidence interval is (s(14-H2)s (Round to two decimal places as needed.) as using the sample data below that have been selected from normally distributed populations with different population variance
Please Show Work Construct a 98% confidence interval for the difference between two population means using the sample data below that have been selected from normally distributed populations with different population variances. Sample 1 Sample 2 392 425 363 476 403 312 294 307 394 348 354 394 308 280 377 379 331 413 398 464 404 283 435 401 The 98% confidence interval is < (41 - H2)s (Round to two decimal places as needed.)
Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data. x1 = 958, x2 = 157, s1 = 77, s2 = 88. The sample size is 478 for both samples. Find the 85% confidence interval for ?1 - ?2.
Construct the indicated confidence interval for the difference between the two population means. Assume that the assumptions and conditions for inference have been met. A researcher wishes to determine whether people with high blood pressure can reduce their blood pressure by following a particular diet. Use the sample data below to construct a 99% confidence interval for μ1-μ2, where H1 and H2 represent the population means for the treatment group and the control group, respectively. Treatment GolGroup n1 85 n2...
Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally! distributed populations. Also assume that the population standard deviations are equal (0, 0), so that the standard error of the difference between means is obtained by pooling the sample variances. A paint manufacturer wanted to compare the drying times of two different types of paint. Independent simple random samples of 11 cans of type...
Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Also assume that the population standard deviations are equal (12) so that the standard error of the difference between means is obtained by pooling the sample variances. A researcher regularly and people who do not exercise regularly, Independent simple random samples were obtained of 16 people who do not exercise regularly and...
To construct a confidence interval for the difference between two population means mu 1 minus mu 2, use the formula shown below when both population standard deviations are known, and either both populations are normally distributed or both n 1 greater than or equals 30 and n 2 greater than or equals 30. Also, the samples must be randomly selected and independent. left parenthesis x overbar 1 minus x overbar 2 right parenthesis minus z Subscript c Baseline StartRoot StartFraction...
Hi it's python I imported a data which are so many words in txt and I arranged and reshaped with alphabetically both rows and columns I was successful with these steps but I am stuck with next step below is my code and screenshot import numpy as np import pandas as pd data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None) df_input=pd.DataFrame(data) df_output=pd.DataFrame(np.arange(676).reshape((26,26)), index = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'], columns = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']) df_output.index.name="Start" df_output.columns.name="End" df_output This below screen shot is what I have to find I have to find each word...
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In C++ Programming: Using a single for loop, output the even numbers between 2 and 1004 (inclusive) that iterates (loops) exactly 502 times. The outputted numbers be aligned in a table with 10 numbers per row. Each column in the table should be 5 characters wide. Do not nest a loop inside of another loop. Hint: First create and test the code that output the numbers all on one line (the command line will automatically wrap the output to new...