A scientific study was conducted to determine the hours of sleep that college students get per night. The study surveyed 29 college students and obtained the following data:6.9, 6.9, 6.7, 7.8, 6.1, 7.2, 7, 7.5, 6.7, 6.6, 7.1, 7.9, 6.4, 7.3, 7, 7.3, 7.4, 7.4, 7.6, 7.2, 7, 7.8, 6.8, 6.7, 7.6, 6.5, 7.5, 6.5, 7.1Assuming the population standard deviation is σ = 0.56, construct a 87% confidence interval for the average hours of sleep per night that college students get.\[\bar{x} = \text{\_\_\_\_\_}\]\[\frac{\alpha}{2} = \text{\_\_\_\_\_}\]\[z_{\frac{\alpha}{2}} = \text{\_\_\_\_\_}\]Margin of Error: E = \text{\_\_\_\_\_}We are 87% confident that college students get an average of between \text{\_\_\_\_\_} hours and \text{\_\_\_\_\_} hours of sleep per night.

6.9, 6.9, 6.7, 7.8, 6.1, 7.2, 7, 7.5, 6.7, 6.6, 7.1, 7.9, 6.4, 7.3, 7, 7.3, 7.4, 7.4, 7.6, 7.2, 7, 7.8, 6.8, 6.7, 7.6, 6.5, 7.5, 6.5, 7.1 Assuming the population standard deviation is o = 0.56, construct a 87% confidence interval for the average hours of sleep per night that college students get. H = 82 de .11 = Margin of Error: E = We are 87% confident that college students get an average of between and hours of sleep per night. hours

6.9, 6.9, 6.7, 7.8, 6.1, 7.2, 7, 7.5, 6.7, 6.6, 7.1, 7.9, 6.4, 7.3, 7, 7.3, 7.4, 7.4, 7.6, 7.2, 7, 7.8, 6.8, 6.7, 7.6, 6.5, 7.5, 6.5, 7.1 Assuming the population standard deviation is o = 0.56, construct a 87% confidence interval for the average hours of sleep per night that college students get. H = 82 de .11 = Margin of Error: E = We are 87% confident that college students get an average of between and hours of sleep per night. hours

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

F, C, D, C, D, B, D, A, D, D, B, B, B, B, D, D, B, B, F, A, F Grade A frequency: Grade B frequency = Grade C frequency: = Grade D frequency =_ Grade E frequency Grade F frequency = Blank # 1 Blank # 2 Blank # 3 Blank # 4 Blank # 5 = = >> N N
We are interested in looking at the effect of a baseball player’s free agent status on their salary. We look at 337 baseball players and categorize them as either having a high salary (above 2 million) or not, and as either being free agents or not. ------------------------------ You also wonder if having a high batting average affects the salary of baseball players. You classify all 370 baseball players as having a high batting average if it is over .300. 1. What is the conditional distribution of high salary when looking only at those who have high batting averages? 2. What is the marginal distribution of high salary? 3. Give the four expected counts.
Example13. The ranks of marks of students in two subjects English and Urdu are given below: (1,10), (2,7), (3,2), (4,6), (5,4), (6,8), (7,3), (8,1), (9,11), (10,15), (11,9), (12,5), (13,14), (14,12) and (15,13).Use Spearman's formula to find the rank correlation coefficient. s abor
Male Female27,329 22,49814,596 24,5893,890 5,06827,315 16,72525,067 10,3808,480 16,57219,490 10,75516,334 19,12228,183 11,82721,356 18,61212,674 15,73210,066 11,42311,288 17,79220,679 24,76719,722 6,359369 19,57118,284 21,81211,653 19,68618,981 18,29415,412 13,48515,839 31,24320,391 9,4316,069 16,1216,072 4,22624,527 12,6649,492 20,22511,618 14,59813,916 22,04613,081 20,08517,460 11,13913,491 35,7097,630 8,54121,263 9,82216,455 12,38511,590 28,05515,409 19,22816,827 16,21710,596 17,72618,005 20,00612,428 16,58313,727 19,8574,706 14,49917,168 17,97412,641 17,22015,661 28,75616,855 38,40718,490 25,78537,993 33,38319,196 25,06447,688 30,26225,062 18,14310,357 7,59515,653 23,8969,962 16,4425,377 16,53619,537 26,129
Egg production.... ..feeds 50, 55 , 25, 39, 85 ,58, 19, 16; 47; 33 ;39; 54;74; 18; 18; 94 ,35,18,46,44 31, 51, 74, 85,60, 36, 39, 74 ,98, 23, 25, 36, 25, 94, 19 ,29, 39, 49, 57,58 50, 75, 25, 39, 85 ,58, 19, 16; 47; 33 ;29; 54;74; 38; 18; 94 ,35,18,46,44 31, 33, 51, 64,85,10, 36, 39, 64 18, 23 ,25, 19, 29, 39, 49, 57,88 ,89.44 50, 55 , 25, 39, 85 ,58, 19, 16; 47; 33 ;39; 54 ;74; 18; 18; 94 ,35,18,46,44 74, 85, 60, 36 ,39, 74 ,98 ,23,25 ,36, 25, 94, 19, 29, 39, 49, 57,58,89.30 30, 25 , 25, 19, 55 ,28 , 19, 16; 47; 53 ;29; 54 ;14; 38; 18; 64 ,35,18,66,44 show your WORKINGS NEATLY. a. Calculate the standard 95% confidence interval. b. what does it mean? C. obesity (waist size) : 85; 110;250; 270 ;350;480;575; 650; 780; 850 heart diseases : 18; 28; 38; 42; 55; 60; 77; 120; 133; 198.
1 2 -3 -1 2 %3D -1 0 2 3 3] -11 141 1. 7 -4] 15 -11 2. 5 3. 7 -71 4. -7 5. 7 -41 5. 5 1 O 2 O 3 4 5 O
What is the spread per category or the "magic number" associated with this group if you were to put these data into six categories? 274 165 350 296 127 307 265 241 345 123 216 320 145 324 193 218 200
The information is as follows: Month, Cases of Lyme Disease, Drowning Deaths: Month: January, February, March, April, May, June, July, August, September, October, November, December Cases of Lyme Disease: 3, 2, 2, 4, 5, 12, 22, 13, 6, 5, 4, 1 Drowning Deaths: 0, 1, 2, 1, 2, 9, 15, 5, 6, 3, 3, 1, 0 a) Compute the correlation coefficient for the data. b) Is there a significant linear relationship? c) Do you believe an increase in Lyme disease causes an increase in the number of drownings? d) A “lurking variable” is a variable that influences both of the variables (cases of Lyme disease and number of drownings) in a linear correlation study that is unknown or not accounted for in the study. Name one possible lurking variable that might cause the number of Lyme disease cases and drownings to be correlated.
We are interested in looking at the effect of a baseball player’s free agent status on their salary. We look at 337 baseball players and categorize them as either having a high salary (above 2 million) or not, and as either being free agents or not. ------------------------------ You also wonder if having a high batting average affects the salary of baseball players. You classify all 370 baseball players as having a high batting average if it is over .300. 1. The given χ2test table gives many test statistics. The row we want to look at is labeled Pearson Chi-Square. Give the test statistic, the degrees of freedom, and the p-value. 2. At a significance level of .05, what can you conclude in the context of this problem?
If a study determines the difference in average salary for subpopulations of people with blue eyes and people with brown eyes is not signaficant, then the populations of blue eyed people and brown eyed people are _______ different salaries... unlikey to have very likely to have guranteed to have guranteed to not have
The following data show the of number of shoes (in 1000 units) sold by a new shoe manufacturing company in the 8 consecutive months of 2020: Month # Sold Month # Sold --------------------------------------------------------------------- January 8.42 | May 11.14 February 9.67 | June 10.61 March 10.42 | July 12.50 April 10.90 | August 12.82 Hand Estimate a linear trend model for the monthly sales of the company. Predict the number of shoes sold in September and October.