A June 2009 Harris Interactive poll asked people their opinions about the influence of advertising on the products they buy. Amongthe people aged 18 to 34 years, 44% view advertisements as being influential, whereas among the people aged 35 to 44 years, 36%view advertisements as being influential. Suppose that this survey included 655 people in the 18 to 34 year age group and 430 in the35 to 44 year age group. Find a 98% confidence interval for the difference in the population proportions for the two age groups.Let p, be the proportion of adults aged 18 to 34 years that view advertisements as being influential and p, be the proportion ofadults aged 35 to 44 years that view advertisements as being influential.Round your answers to three decimal places.

The value of z at 98% confidnce level is 2.326, which can be obtained by using the standard normal…

A June 2009 Harris Interactive poll asked people their opinions about the influence of advertising on the products they b the people aged 18 to 34 years, 44% view advertisements as being influential, whereas among the people aged 35 to 44 view advertisements as being influential. Suppose that this survey included 655 people in the 18 to 34 year age group an 35 to 44 year age group. Find a 98% confidence interval for the difference in the population proportions for the two age Let p, be the proportion of adults aged 18 to 34 years that view advertisements as being influential and p2 be the propor adults aged 35 to 44 years that view advertisements as being influential. Round your answers to three decimal places.

A June 2009 Harris Interactive poll asked people their opinions about the influence of advertising on the products they b the people aged 18 to 34 years, 44% view advertisements as being influential, whereas among the people aged 35 to 44 view advertisements as being influential. Suppose that this survey included 655 people in the 18 to 34 year age group an 35 to 44 year age group. Find a 98% confidence interval for the difference in the population proportions for the two age Let p, be the proportion of adults aged 18 to 34 years that view advertisements as being influential and p2 be the propor adults aged 35 to 44 years that view advertisements as being influential. Round your answers to three decimal places.

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

A researcher wanted to investigate whether people preferred one of two types of cola: Coke or Pepsi. One hundred participants performed a blind taste test of both colas and indicated which of the two they preferred. Which of the following tests would be appropriate for the data? One-way between ANOVA Repeated measures ANOVA Correlation Chi-square
Kris works for the MESA Air Pollution Study at UW, and studies the correlation be- tween air pollution and the disease atherosclerosis. Nationally, 40% of adults suffer from atherosclerosis. Kris suspects that the proportion of people with atherosclerosis in high- pollution areas is higher. In a random sample of 600 residents of high-pollution areas, he finds that 270 (45%) subjects have atherosclerosis. At the 1% level (α = .01), is this good evidence that people in high-pollution areas are more likely to have atherosclerosis? (a) Which of the following is the Ha ? (research claim or alternate) A. Ha : p ≥ 0.40 B. Ha : pb ≥ 0.40 C. Ha : p > 0.40 D. Ha : p > b 0.40 E. Ha : p > b 0.45 F. Ha : p > 0.45 G. Ha : pb ≥ 0.45 H. Ha : p ≥ 0.45 I. None of these Hint: First read the problem and using my notes (or Hawkes) for 9.1, set up H0 and Ha . Then pick the right Ha from the above list. Dont try to guess the answer from the above list. (b) Which of the…
Help!!
In a study examining the relation of math ability to the belief that math ability was innate, the belief was considered the predictor variable. The researcher hopes to find a correlation between the participants’ math ability and their belief that math ability is innate. The scores for the three participants are shown below. The group that believed that math is NOT innate scored 66, 70, 50. The group that believed that math IS innate scored 7, 4,10. Calculate, by hand, the correlation between these two variables. Is it positive or negative and is it a strong correlation?
The following box plot represents a sample of house prices. House prices ($1000s) 160 Find and interpret the first quartile Q1. 155 Ex: 19000 150 Pick 145 Pick 25% of the house prices fall above Q1. Find al 25% of the house prices fall below Q1. Q1 is the median value. 140 135 Pick 130 125 120
The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technologgy was also given a foot length of 10.8 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 10.8 cm, what is the single value that is the best predicted height for that person? H Click the icon to view the technology output. The single value that is the best predicted height is cm. Technology Output (Round to the nearest whole number as needed.) The regression equation is Height - 67.5 +5.15 Foot Length Predictor Coef SE Coef Constant 67.52 11.07 6.10 0.000 Foot Length 5.1508 0.4817 10.69 0.000 S-5.50271 R-Sq = 73.18 R-Sq (adj) = 72.44 Predicted Values for New Observations New Obs Fit SE Fit 95 CI 954 PI 123.149 1.605 (119.732, 126.566) (111.996, 134.302) Values of Predictors for New…
Answer each question and justify all work for full You will need your z and t charts for this quiz. 1. Death penalty: A group claims that the overall feelings of the general population on the . death penalty is changing. 643 people were interviewed, and of them, 258 believed in using the death penalty. Construct a 95% confidence interval for the proportion of people that believe in the death penalty. Follow the steps below: What is the best point estimate for the proportion of people who believe in the death penalty? › (round to two decimal places)
A study of elementary school children, ages 6 to 11, finds a high positive correlation between shoe size x and score y on a test of reading comprehension. The observed correlation is most likely due to: the effect of a lurking variable, such as age or years of reading experience. a mistake, because the correlation must be negative. cause and effect (larger shoe size causes higher reading comprehension). reverse cause and effect (higher reading comprehension causes larger shoe size).
You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 65 26 33 25 38 34 42 30 17 34 80 20 30 35 71 29 65 28 50 30 Но: р %3D 0 На: р 2 0 Find the Linear Correlation Coefficient r = Find the p-value p-value The p-value is O Less than (or equal to) a O Greater than a The p-value leads to a decision to O Reject Ho О Аcсеpt Ho O Do Not Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive…
A correlation study provides the following data: r = -.74 and the study involved 62 participants What is the effect size? NOTE: Please only report the number (and as always, do not Hl markvour ans wer as invalid)
QUESTION IS IN IMAGE
In a study examining the relation of math ability to the belief that math ability was innate, the belief was considered the predictor variable. The researcher hopes to find a correlation between the participants’ math ability and their belief that math ability is innate. The scores for the three participants are shown below. The group that believed that math is NOT innate scored 66, 70, 50. The group that believed that math IS innate scored 7, 4,10. Calculate, by hand, the correlation between these two variables. Is it positive or negative and is it a strong correlation?