Total 1400 Use a = 0.05 to test for any significant differences. The p-value is less than 0.01 : What is your conclusion? Conclude not all treatment means are equal

The p-value is 0.0620, State the conclusion in terms of the claim and whether you would recommend shutting down the car factory with given p-value?

Calculate the correct t-statistics based on the information below.   X1 = 200   X2 = 198   n1 = 17   n2 = 17   s1 = 2.45   s2 = 2.35   Let us assume that two groups of students at Tarleton are being compared on their average weights. Do you think the groups are different in terms of weight (measured in pounds)?

A survey of 200 senior citizens was undertaken and it was found that 26 of them had the flu vaccine this year. Do these data suggest that the proportion of senior citizens who get the flu vaccine is significantly less than 21 % ? Test at a = 0.10. Round your answers to three decimal places, and round any interim calculations to four decimal places. What is the test statistic? -2.7778 Using your answer from the previous question, find the p-value. .0027 What is the critical value for this test? Part 2 of 3

Hi team, Please provide the answer for the 4 parts of the question, thanks in advance. The last senence says : (please pick the correct lines) "(Fail to reject / Reject ) H0 . There is (Sufficient / Not sufficient) evidence to conclude that the mean lead concentration for all such medicines is (Not / Equal to / Greater than / Less than ) 18 μ​g/g."

Use the output below to determine if there is a significant difference in the hour spent emailing between the two group if T0 =0.290

The following equation was estimated by OLS: Unipa = 1.392 - 0.0135 psperc + 0..00148 sat n = 4,137, R2 = 0.273 Where unipa is measured on a four-point scale, psperc is the percentile in the post- sixteen class (defined so that, for example, psperc =5 means the top 5% of the class), and sat is the combined maths and verbal scores on the student achievement test.

You want to obtain a sample to estimate a population proportion. Based on previous evidence, you believe the population proportion is approximately p 0.32. You would like to be 96% confident that your esimate is within 4% of the true population proportion. How large of a sample size is required? n =

your car is more crowded than you think.  table 5.8 reports results from a 1969 personal transportation survey on "home-to-work" trips in metropolitan areas. The survey stated that the average car occupancy was 1.4 people. check that calculation.