3.48 Consider the following Venn diagram, where P(E1) = .10, P(E2) = .05, P(E3) = P(E4) = .2, %3D P(Es) = .06, P(E6) = .3, P(E,) = .06, and P(Es) = .03: •E1 OE2 B OES E OES A Find the following probabilities: a. P(A°) b. Р(В°) c. P(A°NB) d. P(A U B) e. P(ANB) 1. P(AU B*) g. Are events A and B mutually exclusive? Why?
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- 7) The y for the association between job satisfaction and happiness is 0.40. Does the f of 0.22 represent a stronger or weaker association than the p of 0.40?... 11:32 PM Tue Jan 19 * 48% AA A etext-ise.pearson.com PB Introduction - Orego... E еТеxt P Course Home - Diam... Pearson eText PRACTICE Find three numbers such that the second number is 8 less than triple the first number, the third number is five times the first number, and the sum of the three numbers is 118.7.16 Using an app or the Web on a smartphone. The Nielsen Company reports that U.S. residents aged 18 to 34 years spend an average of 2.83 hours per day using an app or the Web on a smartphones You wonder if this it true for students at your large university because you rarely see students not using their smartphones. You collect an SRS of n = 75 students and obtain 2 = 3.17 hours with s =1.36 hours. (a) Report the 95% confidence interval for u, the average number of hours per month that students at your university use the Internet on a computer. (b) Use this interval to test whether the average time for students at your university is different from the average, reported by Nielsen. Use the 5% significance level. Summarize your results.
- The table gives the percent of total households that have married couples for selected years from 1982 and projected to 2050. Complete parts (a) through (c) below. ^ a. Find the quadratic function that best models the data, with x representing the number of years after 1980 and y representing the percent. y=(x²+x+) (Type integers or decimals rounded to three decimal places as needed.) b. Graph the function and the data points on the same axes. Choose the correct graph below. OA. 40 6 17 & + 7 OB. hp f8 * 4+ 8 H 9 O C. Year 1982 1990 2000 2010 f10 O Percent Year 59 2020 56 2030 54 2040 49 2050 Q Q fn OD. f12 Percent 47 46 45 44 + Q Q Next = insertQ23. A social psychologist records the number of outbursts in a sample of different classrooms at a local school. Answer the questions based on the statement below. (Note: These are not the results from Q19) The number of outbursts among students at this local school (M = 3) was significantly less than that in the general population, t(39) = 4.19, p < .05, d = .25. 23a. What was the sample size?n = 23b. What was the decision?A. Retain H0B. Reject H0Decision = 23c. What was the effect size?A. 39B. 4.19C. .05D. .25 Effect size =OSuppose that for a certain experiment P(A) = .47 and P(B) = .25 and P(An B) = .14. Find P(Au B).
- 46 461 12:17 13 O ... 4G2 58% 20210501_1012... ... (a) Find the correlation co-efficient between X and Y, given 12 14 16 18 21 22 23 25 Y 11 16 15 20 17 19 25 24 21 (P.U., M.A. Econ. 1969) (b) Find the co-efficient of correlation between persons employed and cloth manufactured in a textile mill. Interpret the result. Persons employed 137 209 113 189 176 200 219 Cloth manufactured ('000 yds) 23 47 22 40 39 51 49Given N-10, Στ= 140, Σy= 150, Σ(r-10)-180 E(y-15) = 215, E(x – 10)(y -15) = 60 h to Find K.P. Coefficient of Correlation and estimate the value of y when x = 15You work for an insurance company and are studying the relationship between types of crashes and the vehicles involved. As part of your study, you randomly select 3589 vehicle crashes and organize the resulting data as shown in the contigency table. At α=0.10, can you conclude that the type of crash depends on the type of vehicle? Complete parts (a) through (d). Vehicle Type of crash Car Pickup Sport utility Single-vehicle 866 323 340 Multiple-vehicle 1145 487 428 Question content area bottom Part 1 (a) Identify the claim and state the null and alternative hypotheses. H0: The type of crash and the type of vehicle are ▼ independent dependent . Ha: The type of crash and the type of vehicle are ▼ dependent independent . The ▼ alternative hypothesis null hypothesis is the claim.
- A physician wants to see if there was a difference in the average smokers' daily cigarette consumption after wearing a nicotine patch. The physician set up a study to track daily smoking consumption. In the study, the patients were given a placebo patch that did not contain nicotine for 4 weeks, then a nicotine patch for the following 4 weeks. Test to see if there was a difference in the average smoker's daily cigarette consumption using α = 0.01. The hypotheses are: H0 : μD = 0 H1 : μD ≠ 0 t-Test: Paired Two Sample for Means Placebo Nicotine Mean 18.75 12.3125 Variance 66.599 34.6667 Observations 16 16 Pearson Correlation 0.6105 Hypothesized Mean Difference 0 df 15 t Stat 3.5481 P(T<=t) one-tail 0.0126 t Critical one-tail 2.6025 P(T<=t) two-tail 0.0252 t Critical two-tail 2.9467 What is the correct p-value? Question 1 options:…Interpret the effect size (η2) for the following: t(30) = 1.12, p = .34, η2 = .002A teacher has found that his class performed particularly well on a quiz when the material was related to pop culture (M= 77) compared with normal quiz performance (u= 69, 0 =20 ). What is the effect size for this effect? Select one: • a. 0.40 e b. 1.57 • c. 0.94 • d. -0.94 e e. All of the above