Move the blue dot to choose the appropriate testRejection region= 0.015Current rejection region = 0.015 An advertising agency is studying social media campaigns and how they impact website traffic. The advertising agency statesthe average increase in website traffic after a social media campaign is greater than 20 percent. If we would like to test theadvertising agency's claim with a hypothesis test using a significance level of α = 0.015, what is the rejection region?Use the graph below to show the rejection region. First, move the blue dot to choose the appropriate test (left-, right, or two-tailed). Then, slide the shaded region(s) to represent the rejection region.Provide your answer below:

The advertising agency states the average increase in website traffic after social media campaign is…

Answered: An advertising agency is studying…

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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Can you help me find a test statistics and the P value
The Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.
40 people are randomly sent to walk one of four trails. The time (in minutes) they spend completing each trail is recorded in the table below. (a) Test to see if the times needed to complete a trail vary. Use a 0.05 significance level. (b) Test each pair (A/B, A/C, A/D, B/C, B/D, C/D) to see which trails have a statistically significant difference. Indicate your p-value for each comparison, and when the effect is statistically significant (use 0.05 as your significance level), declare which trail of the two takes more time to complete. Trail A - 30, 33, 41, 27, 36, 31, 37, 40, 29, 35 Trail B - 27, 33, 38, 41, 40, 38, 35, 44, 41, 39 Trail C - 25, 34, 41, 39, 32, 30, 36, 35, 27, 33 Trail D - 41, 39, 46, 37, 40, 42, 50, 42, 50, 33, 47, 43
A researcher was curious whether psychology majors earned a different amount of money after college compared to business majors. The mean salary for business majors 5 years after graduation is 55,000. She asked 22 recent psychology graduates their salaries and found that M=48,000 and s=12,000. Test the hypothesis that psychology majors make a different amount of money than business majors. Use a significance level of 0.05.
Let's use SPSS to run a one-sample t-test! Imagine that you are interested in whether the number of hours students in a statistics course work each week differs from the average number of hours reported by the general student body at ASU. Thankfully, you have a data set that consists of information from students in a statistics course, including how many hours they work each week ("workhours"). You also happen to know that the average number of hours worked each week by the general student population at ASU is 25. Use the data provided to conduct a one sample t-test in SPSS comparing the sample data to the population mean.. The dependent variable for your test should be "workhours". Based on your output, the average number of hours worked each week by a sample is ________ . Enter your answer rounded to two decimal places (i.e., 10.01, not 10.1, not 10.0, not 10.010).
A person is interested in studying the amount of time (in minutes ) people spend on social media in a day. The following data is collected from a sample of 12 people : 45, 60,25,55,75,90,100,120,105,80, 0 and 220. Does the data contain outlier(s)? Explain your reasoning. ( use empirical rule and use the quartile method to check ).
p = proportion of students who drop out due to lack of economic resources A sociologist thinks that in his country the percentage of students who drop out due to lack of economic resources is different from 40%. He takes a sample of 70 student dropouts and finds that 37 of them dropped out due to lack of financial resources.Can the sociologist, with a significance level of 0.05, consider that the percentage of students who drop out due to lack of economic resources is different from 40%? Choose 1. The correct conclusion2. The correct interpretationSelect one:to)1. H0 is rejected2. With 95% confidence, it can be ensured that the percentage of those who drop out due to lack of economic resources in that country is not different from 40%, that is, the sociologist is wrongb)1. H0 is not rejected2. With 95% confidence, it can be ensured that the percentage of those who drop out due to lack of economic resources in that country is not different from 40%, that is, the sociologist is wrongc)1.…
An advertising agency is studying social media campaigns and how they impact website traffic. The advertising agency states the average increase in website traffic after a social media campaign is greater than 20 percent. If we would like to test the advertising agency's claim with a hypothesis test using a significance level of a = 0.025 , what is the rejection region? Use the graph below to show the rejection region. First, move the blue dot to choose the appropriate test (left-, right, or two- tailed). Then, slide the shaded region(s) to represent the rejection region. Provide your answer below: Move the blue dot to choose the appropriate test Rejection region= 0.255 -2 Current rejection region = 0.255
Pap smears are a diagnostic test used to detect cervical cancer. Although the test has high specificity, it also has low sensitivity. As a result, women have to be screened often. Using the definitions of sensitivity and specificity, explain why increased frequency of screening is needed when sensitivity is low and specificity is high.
A statistician changes her level of significance from .001 to .05. What impact will this change have on her risk of making a Type I and Type II error? Is the change in the level of significance a good decision? Why or why not?
A gigantic warehouse stores approximately 70 million empty aluminum beer and soda cans. Recently, a fire occurred at the warehouse. The smoke from the fire contaminated many of the cans with blackspot, rendering them unusable. A statistician was hired by the insurance company to estimate p, the true proportion of cans in the warehouse that were contaminated by the fire. How many aluminum cans should be randomly sampled to estimate p to within 0.02 with 95% confidence? The statistician should sample (Round up to the nearest can.) cans to estimate the proportion that were contaminated by the fire to within 0.02 with 95% confidence.

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