What type of hypothesis test should be performed? Select What is the test statistic? Ex: 0.12 : Does sufficient evidence exist to support the claim that the voltage of the batteries made by the two manufacturers is different at the a = 0.1 significance level? Select

A data set includes data from 500 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 2.2 miles. Use a 0.05 significance level. Use the display to identify the null and alternative hypotheses, test statistic, and P-value. State the final conclusion that addresses the original claim. Hypothesis test results: p: Mean of variable Ho : µ = 2.2 HA: H> 2.2 Variable Sample Mean Length Std. Err. 2.38563 0.251663 499 0.737613 DF T-Stat P-value 0.2305

The test satistic of z=-2.81 is obtaines when testing the claim that p=2/3. a. Using a significance level of ∝=0.01, findvthe critcal value(s). b. Should we reject or fail to reject the null hypothesis?

Using the results obtained for a study on website development below, how would we interpret the results of this hypothesis test?  The claim is the percent of customers who abandon a web page due to long load times is different from 34%. The significance level is 0.10. The test statistic is 2.50.  Select the correct answer below: Reject H0. There is strong evidence to conclude that the percent of customers who abandon a web page due to long load times is greater than 34%. Reject H0. There is NOT strong evidence to conclude that the percentage of customers who abandon a web page due to long load times is greater than 34%. Fail to reject H0. There is strong evidence to conclude that the percent of customers who abandon a web page due to long load times is greater than 34%. Fail to reject H0. There is NOT strong evidence to conclude that the percentage of customers who abandon a web page due to long load times is greater than 34%.

Suppose the nutrition information on the package of Matilde's favorite brand of chips states that a serving size of 25 g equals about 12 chips. That means, on average, each chip should weigh 2.08 g. Matilde decides to test the accuracy of this serving size information. She plans to conduct a one-sample t-test with a significance level of a = 0.10 to test the null hypothesis, Ho: u = 2.08, against the alternative hypothesis, H1: µ # 2.08, where u is the average weight of a chip. Matilde selects a random sample of unbroken chips to weigh. She does not know the population standard deviation nor the distribution of chip weights, but she has confirmed that her sample does not contain any outliers. The summary statistics for her test are shown in the following table. Sample size Sample mean Sample standard deviation Test statistic Probability value P-value 45 2.04 0.14 -2.076 0.044 Based on these results, complete the following sentences to state the decision and conclusion of the test.…

A data set includes data from 500 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 2.2 miles. Use a 0.05 significance level. Use the display to identify the null and alternative hypotheses, test statistic, and P-value. State the final conclusion that addresses the original claim.

Select the appropriate null and alternative hypothesis for the following research question: Does a different proportion of people enjoy playing video games compared to those who enjoy playing sports? phat1 = proportion of people who live in urban areas that prefer to stream tv/movies phat2 = proportion of people who live in rural areas that prefer to stream tv/movies A. Null Hypothesis: People who live in urban areas prefer to stream their tv/movies less than or equal to people who live in rural areas i.e. phat1 <= phat2 Alternative Hypothesis: People who live in urban areas prefer to stream their tv/movies more than people who live in rural areas i.e. phat1 > phat2 B. Null Hypothesis: People who live in urban areas prefer to stream their tv/movies more than or equal to people who live in rural areas i.e. phat1 >= phat2 Alternative Hypothesis: People who live in urban areas prefer to stream their tv/movies less than people who live in rural areas i.e. phat1 < phat2…

Consider a drug that is used to help prevent blood clots in certain patients. In clinical​ trials, among 6136 patients treated with this​ drug, 162 developed the adverse reaction of nausea. Use a 0.01 significance level to test the claim that 3​% of users develop nausea. Does nausea appear to be a problematic adverse​ reaction? Identify the null and alternative hypotheses for this test. Choose the correct answer below.     A. H0​: p=0.03 H1​: p>0.03   B. H0​: p≠0.03 H1​: p=0.03   C. H0​: p=0.03 H1​: p≠0.03   D. H0​: p=0.03 H1​: p<0.03 Identify the test statistic for this hypothesis test.   The test statistic for this hypothesis test is

In a study of high school students at least 16 years of age, researchers obtained survey results summarized in the accompanying table. Use a 0.05 significance level to test the claim of independence between texting while driving and drivin when drinking alcohol. Are those two risky behaviors independent of each other? Click the icon to view the table of survey results. Determine the null and alternative hypotheses. Ho H₁: Determine the test statistic. x² = (Round to two decimal places as needed.) Determine the P-value of the test statistic. P-value = (Round to three decimal places as needed.) Do the results suggest that texting while driving and driving while drinking are related? Survey Results Texted While Driving No Texting While Driving Print 4 Drove When Drinking Alcohol? Yes No 740 158 Done 3058 4453 I X A. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that texting while driving happens 95% of the time when driving while drinking…

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 2.6 miles. Use a 0.05 significance level. Use the display to identify the null and alternative hypotheses, test statistic, and P-value. State the final conclusion that addresses the original claim. Hypothesis test results: Mean of variable | Ho H=2.6 HAH>2.6 Variable Sample Mean Length 2.75311 Std. Err. DF 0.274284 399 T-Stat 0.558217 P-value 0.2885 OA. Fail to reject Ho. There is not sufficient evidence to support the claim that the mean tornado length is greater than 2.6 miles. OB. Reject Ho. There is not sufficient evidence to support the claim that the mean tornado length is greater than 2.6 miles. OC. Reject Ho. There is sufficient evidence to support the claim that the mean tornado length is greater than 2.6 miles OD. Fail to reject Ho. There is sufficient evidence to support…