(a) Define a critical region that has an a = 0.05 signifi- cance level. (b) If respective random samples of sizes n = 900 and n2 = 700 yielded y1 = 135 and y2 = 77 babies with a low birth weight, what is your conclusion? %3D (c) What would your decision be with a significance level of a = 0.01? llor (d) What is the n-value of your test?

What would be the minimum sample size for an independent samples t-test with a small effect size where eta squared = .01, alpha = .05, and statistical power = .70?

esc You may need to use the appropriate technology to answer this question. Information regarding the ACT scores of samples of students in three different majors is given below. ! 81°F Partly sunny Sample Size f1 Average Sample Variance (a) Compute the overall sample mean . 29.5 X 1 ? Between Treatments Within Treatments @ Total Management (b) Set up the ANOVA table for this problem including the test statistic. (Round your mean squares to four decimal places and your F statistic to two decimal places.) 2 12 f3 26 # 17 * 3 Source of Variation Sum of Squares Degrees of Freedom (c) Using a = 0.01, determine the critical value of F. (Round your answer to two decimal places.) Major (d) Using the critical value approach, test to determine whether there is a significant difference in the means of the three populations. O We should not reject H. and therefore can conclude that there is a significant difference among the means of the three populations. We should not reject H. and therefore…

Studies show that the level of anxiety has changed since the pandemic. The average score before the pandemic was mu equal to 36. A sample of 20 individuals surveyed in the past two weeks produced M=37.6 and s=9.8. Based on the sample, was there a significant difference in the average anxiety level since the pandemic started at the 5% significance level? What is the positive critical value?   (a)2.093 (b)2.086   (c)1.729   (d)1.725

A sample of 51 stocks traded on the NYSE that day showed that 5 went up.You are conducting a study to see if the proportion of stocks that went up is is significantly less than 0.3. You use a significance level of α=0.02α=0.02.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value =

You are conducting a study to see if the accuracy rate for fingerprint identification is significantly more than 0.88. You use a significance level of α=0.001.      H0:p=0.88       H1:p>0.88You obtain a sample of size n=208 in which there are 192 successes.What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... _______  less than (or equal to) α              (or)   _______ greater than α

Determine the critical value for a left tailed test of a population mean at the a= 0.01 level of significance based on a sample size of n= 9.

(a) Does the sample provide evidence of a significant difference in popularity among the six actors, at a 5% significance level?Round your answer for the chi-square statistic to two decimal places, and your answer for the p-value to three decimal places. X^2 :  p-value :  (b) Repeat the test from part (a) if we ignore the results for George Lazenby, who only appeared in one Bond film. Do we find evidence of a significant difference in popularity among the remaining five actors? Round your answer for the chi-square statistic to two decimal places, and your answer for the p-value to three decimal places. X^2 :  p-value :

Find the critical​ value(s) and rejection​ region(s) for a​ left-tailed chi-square test with a sample size n=22 and level of significance α=0.05. LOADING... Click the icon to view the​ Chi-Square Distribution Table.       Find the critical​ value(s).   enter your response here ​(Round to three decimal places as needed. Use a comma to separate answers as​ needed.)   Find the Rejection Region(s).

A survey was conducted to investigate the relationship between gender (male and females) and sector of employment (private, government and academia). Using the information provided, does a relationship exist between gender and employment sector at the 5% significance level? If the Chi-square test statistics = 0.529, what conclusion can be made?   A. Since Chi-square test statistics > Chi-square critical value, do not reject H0 B. Since Chi-square test statistics < Chi-square critical value, do not reject H0 C. Since Chi-square test statistics < Chi-square critical value, Reject H0 D. Since Chi-square test statistics > Chi-square critical value, Reject H0