You are conducting a hypothesis test at the 0.05 alpha level for the claim that all 5 brands of cookies are equally likely to be bought. The table below shows actual purchases of each brand. Category Observed Frequency Brand A 20 Brand B 25 Brand C 13 Brand D 23 Brand E 21 What is the chi-square test-statistic for this data? χ2=χ2= What are the degrees of freedom for this test? d.f.= What is the p-value for this sample? p-value =

You are conducting a hypothesis test at the 0.05 alpha level for the claim that all 5 brands of cookies are equally likely to be bought. The table below shows actual purchases of each brand. Category Observed Frequency Brand A 20 Brand B 25 Brand C 13 Brand D 23 Brand E 21 What is the chi-square test-statistic for this data? χ2=χ2= What are the degrees of freedom for this test? d.f.= What is the p-value for this sample? p-value =

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The data below are from a study comparing three different treatment conditions: Treatment 1 Treatment 2 Treatment 3 0 1 6 1 4 5 0 1 6 3 2 3 T = 4 T = 8 T = 20 SS = 6 SS = 6 SS = 6 N = 12 G = 32 ƩX2= 138 Conduct a single-factor independent-measures ANOVA to test the hypothesis that there are significant differences in the mean scores among the three treatment conditions. Use α = .01. a. The alternative hypothesis is
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Data from the Department of Motor Vehicles indicate that 80% of all licensed drivers are older than age 25. In a sample of n = 50 people who recently received speeding tickets, 33 were older than age 25 and the other 17 were age 25 or younger. Is the age distribution for this sample significantly different from the distribution for the population of licensed drivers? Use alpha = .05. In a sample of n = 50 people who recently received parking tickets, 36 were older than age 25 and the other 14 were age 25 or younger. Is the age distribution for this sample significantly different from the distribution for the population of licensed drivers? Use alpha = .05.
(1) The following table summarizes the BMI collected for three different groups of a population. BMI N Mean SD Group A 100 21.6 2.1 Group B 100 24.8 1.8 Group C 100 27.9 1.3 Test the hypothesis whether there is a significant difference in the mean BMI scores among three groups. Use a = 0.05.
A leading GIS company arranged a special summer training programme for students of a reputed University. The scores obtained by a random sample of 10 students are given below. Use α = 0.10 to determine whether there is a significant improvement in knowledge of the students after attending the training programme.Student Score before training Score after training1 25 322 26 3023 28 324 22 345 20 326 30 287 22 258 20 309 21 2510 24 28
I need help with a stat problem, section 7.2 and 7.3, thank you (please help with TI-84 commands) You receive a brochure from a large university. The brochure indicates that the mean class size for full-time faculty is fewer than 32 students. You want to test this claim. You randomly select 18 classes taught by full-time faculty and determine the class size of each. The results are shown in the table below. At α=0.10, can you support the university's claim? Complete parts (a) through (d) below. Assume the population is normally distributed. 38 29 29 31 30 41 25 23 30 27 31 33 36 31 29 32 27 23 (a) write the claim mathematically and identify Ho and Ha. (b) use technology to find the P-value. P= _____________(round to 3 decimal places) (c) decide whether to reject or fail to reject the null hypothesis. Which of the following is correct? A. reject Ho because the P value is less than the significance level. B. reject Ho because the P value is greater…
Age discrimination: The following table presents the numbers of employees, by age group, who were promoted, or not promoted, in a sample drawn from a certain industry during the past year. Age Under 30 30 - 39 40 - 49 50 and Over Promoted 12 30 16 14 Not Promoted 46 38 39 40 Can you conclude that the people in some age groups are more likely to be promoted than those in other age groups? Use the =α0.05 level of significance and the P-value method with the TI-84 Plus calculator. find p value
Two samples of n = 5 participants each generate the following data. Calculate a t-test score for the difference of these two groups. Group 1 Group 2 2 3 3 3 2 2 2 2 1 2 t(8) = 2.86 t(8) = 2.29 t(8) = 2.5 t(8) = 1.11
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The table below shows the weight in pounds for a sample of vacuum cleaners. The weights are classified according to vacuum cleaner type. At alpha - 0.01 can you conclude that at least one mean vacuum cleaner weight is different from the others? Bagged upright Vaccum – 21,22,23,21,17,19 Bagless upright – 16,18,19,,21,20 Top canister – 26,24,23,25,27,21