What do effect sizes do that hypothesis tests and the raw difference in meanss don't do? How do confidence intervals tell you whether your results are statistically significant? What do effect sizes tell us?

How much would we need to reduce the sample size in order to increase the width of a confidence interval by 50%? Show all calculations and interpret your answer in complete sentences. please explain with actual calculation

We wish to estimate what percent of adult residents in Ventura County like chocolate. Out of 500 adult residents sampled, 302 like chocolate. To construct a 90% confidence interval for the proportion (p) of adult residents who like chocolate in Ventura County, you need to use which one of the following calculator? O Hypothesis Test for a Population Mean Given Statistics O Hypothesis Test for a Population Proportion O Two Dependent Sample Means Comparison Given Data O Chi-Square Test for Independence O Confidence Interval for a Population Mean Given Statistics O Confidence Interval for a Population Proportion O Two Independent Proportions Comparison OTwo Independent Sample Means Comparison Given Data O Confidence Interval for a Population Mean Given Data O Chi-Square Test for Goodness of Fit One-Way ANOVA O Two Independent Sample Means Comparison Given Statistics O Hypothesis Test for a Population Mean Given Data a. Enter your answer as an open-interval (i.e., parentheses) using…

What do confidence intervals & hypothesis tests try to do?

* Question Completion Status: When should I use the Sign Test (two treatment groups)? Remember that some tests, such as chi squared, can be used under various circumstances. The goal of the test changes based on the situation. Pay attention to the specific conditions noted in parenthesis to ensure you are picking the correct goal. O A Test to see if the frequency data from a population fit a discrete probability distribution. Test if the mnedian of a data set equals a null hypothesized value when the distribution of the data does not meet the OB. assumption of normalacy. Compare two treatment groups of independent samples where the data meet the assumption that the data fit the O C. normal distribution. O P. Compare two treatment groups when a normal distribution cannot be assumed. O E. Test to compare frequency data to a specifichsopulation model OE Compares numerical data to a known mean. The null hypothesis is that the mean of the data equals the known mean. OG. More than two…

Match to the appropriate answer. You will not use all options and you may not use each option more than once. Dummy variable Coefficient (beta) Correlation coefficient Heteroscedasticity p-value R² + Residual A. Used with categorical variable B. Lower value means statistical significance at a higher confidence level. C. When the distribution of residuals does change as the independent variable changes. D. Higher value means statistical significance at a higher confidence level. E. Difference between the predicted and observed values. F. When the distribution of residuals does not change as the independent variable changes. G. Min=-1, Max=1 H. Min-0, Max=1 1. Used to determine how much dependent variables changes if independent variable changed.

A statistics teacher wants to see if there is any difference in the abilities of students enrolled in statistics today and those enrolled five years ago. A sample of final examination scores from students enrolled today and from students enrolled five years ago was taken. You are given the following information.                              Today (Population 1)       Five Years Ago (Population 2)Sample Mean                    84                                   89Sample Variance            112.5                                  54Sample Size                     45                                      36 The 92.50% confidence interval for the difference between the two population means is(Round your answers to 2 decimal places.)

Hi, may you please help me with the following:    The purpose of this assignment is to apply hypothesis tests to the case of Bayview University. Use the dataset below and read the case thats attached, use descriptive statistics to summarize the data and comment on your findings. Answer the following 3 questions.  Develop 95% confidence interval for the proportion of all students, the proportion of male students, and the proportion of female students who were involved in some type of cheating. Conduct a hypothesis test to determine whether the proportion of business students at Bayview University who were involved in some type of cheating is less than that of business students at other institutions by the Chronicle of higher education. Conduct a hypothesis test to determine whether the proportion of business students at Bayview University who were involved in some form of cheating is less than that of nonbusiness students at other institutions are reported by the Chronicles of Higher…

Chapter 7 review