A recent study focused on the number of times men and women send twitter messages in a day. The information is summarized next. At the .01 significance level, conclude on whether there is a difference in the mean number of times men and women send a Twitter message in a day.                      Sample size         sample mean                population standard deviation Men                   25                          23                                              5 women               30                         28                                             10 1）Develop the null and alternative hypotheses for this study? 2）Determine a test statistic and the critical value(s). 3) Calculate the value of the test statistic for this hypothesis testing. 4）What is the p-value for this hypothesis test? 5）Based on the p-value, what is your conclusion?

Report an appropriate hypothesis test and use a 5% significance level. The alternative hypothesis for the One-way Anova F-test would be Group of answer choices Ha: Density affects firing temperature. Ha: Firing temperature affects density. Ha: Firing temperature does not affect density. Ha: Density does not affect firing temperature.

What is the primary purpose of conducting post hoc tests following an ANOVA? a. To determine the overall effect size of the ANOVA. ○ b. To confirm that there are no significant differences among the group means. c. To identify which specific pairs of group means are significantly different from each other. ○ d. To establish a new significance level for the ANOVA.

A data set includes data from 400 random tornadoes. The display from technology available below results from using the tornado lengths​ (miles) to test the claim that the mean tornado length is greater than 2.8 miles. Use a 0.05 significance level. Identify the null and alternative​ hypotheses, test​ statistic, P-value, and state the final conclusion that addresses the original claim. LOADING... Click the icon to view the display from technology.       Question content area bottom Part 1 Assuming all conditions for conducting a hypothesis test are​ met, what are the null and alternative​ hypotheses?     A. H0​: μ<2.8 miles H1​: μ=2.8 miles   B. H0​: μ=2.8 miles H1​: μ<2.8 miles   C. H0​: μ=2.8 miles H1​: μ>2.8 miles Your answer is correct.   D. H0​: μ=2.8 miles H1​: μ≠2.8 miles Part 2 Identify the test statistic.

ARE THE FOLLOWING DATA EQUALLY DISTRIBUTED ACROSS CATEGORIES? TEST AT.05 SIGNIFICANCE LEVEL. ABICID 35 15 10 45 WHAT STATISTICAL TEST WAS USED? OBSERVED VALUE ? CRITICAL VALUE? ACCEPT OR REJECT NULL? DO THE GROUPS DIFFER SIGNIFICANTLY?

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According to the Centers for Disease Control and Prevention (CDC), the mean BMI of U.S. men of age 40–49 years old is 28.4 Using the provided sample data file, conduct a one-sample ?-z-test of a mean to test whether the mean BMI of men of age 40–49 years old who smoke daily is lower than 28.4. Conduct the ?-z-test at a significance level of ?=0.05 to test the null hypothesis,  ?0:?=28.4, against the alternative hypothesis, ?1:?<28.4, where ?μ represents the mean BMI of U.S. men of age 40–49 who smoke daily. Assume that the population standard deviation of BMI, ?σ, is 8.346 The sample data provided contain BMI results collected from a 2015 survey conducted by the National Center for Health Statistics for men of age 40–49 who smoke daily. Calculate the sample mean, ?⎯⎯⎯x¯, for this data. Give your answer precise to at least one decimal place. Calculate the sample mean, ?⎯⎯⎯x¯, for this data. Give your answer precise to at least one decimal place. Compute the standard deviation, SD, of…