Which of the following are the critical values in the analysis (two-tailed and a = .05)? 12.5711 12.3061 12.447| 12.365| 00
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- A study asked respondents, "If ever married, how old were you when you first married?" The results are summarized in the technology excerpt that follows. Complete parts (a) through (d) below. One-Sample T: AGEWED Variable N Mean StDev SE Mean 95.0% CI AGEWED 26790 23.070 4.991 0.030 (23.010, 23.130) Click the icon to view the table of critical t-values. (a) Use the summary to determine the point estimate of the population mean and margin of error for the confidence interval. x3D (Type an integer or a decimal. Do not round.)Need D pleaseProblem Using a sample of 1801 black individuals, the following earnings equation has been estimated: 7.059 + 0.147educ + 0.049experience – 0.201female (135) (.008) In(earnings) = (.007) (.036) R2 = 0.179; n = 1801 Where the standard errors are reported in parenthesis. a. Interpret the coefficient estimate on female. In answering parts b. test statistic; (ii) the rejection rule. - c., you must write down (i) the null and the alternative hypothesis; (ii) the b. Test the hypothesis that there is no difference in expected earnings between black women and black men. Test the hypothesis against a two-sided alternative, using a 5% significance level. c. Dropping experience and female from the equation gives: 6.703 + 0.151leduc In(earnings) = (.182) (.012) R2 = 0.1793; n = 1801 Activate Window Go to Settinos to activ Are experience and female jointly significant in the original equation at the 5% significant level?
- On a test you are presented with a z score of 1.702. How did you do in relation to the rest of the scores? Choose one Better than half the class The same score as the mean WORSE than half the class mot enough information 9Please anser only (D) (E) (F)Finger Tapping and Caffeine The effects of caffeine on the body have been extensively studied. In one experiment1, researchers examined whether caffeine increases the rate at which people are able to tap their fingers. Twenty students were randomly divided into two groups of 10 students each, with one group receiving caffeinated coffee and one group receiving decaffeinated coffee. The study was double-blind, and after a 2-hour period, each student was tested to measure finger tapping rate (taps per minute). The goal of the experiment was to determine whether caffeine produces an increase in the average tap rate. The finger-tapping rates measured in this experiment are stored in CaffeineTaps. A distribution of differences in means, I, - I,, for randomization samples from this experiment is given in the figure below. Let group 1 be the people who have had coffee with caffeine and let group 2 be the people who have had coffee without caffeine. 120 100 80- 60- 40 20 - 0. -3.6 3.6 3.2 2.0…
- the F value associated with the between-subjects factor is 0.067. (Sig. - 0.797) Was the between-subjects factor significant? 1. Yes, p < .000 2. Yes, p < .001 3. Yes, p < .01 4. No, p = .07 5. No, p = .80 6. No, p < .05a. Obtain the cdf of X. b. What is P(X ≤ .5)? c. Using the cdf from (a), what is P(.25 < X ≤ .5)? d. What is the 75th percentile of the distribution?The average daily high temperature in degrees Celsius (C) during the month of July was recorded for the 51 largest cities in the United States. Summary measures are shown below. Mean 30.84 Standard Deviation 3.78 Median IQR 31 5 Range 22 Which of the following represents the median and interquartile range (IQR) of these average daily high temperatures in degrees Fahrenheit (F), where F = (3) C + 32? (A) Median = 52.8°F, IQR = 9°F (B) Median = 52.8°F, IQR = 41°F (C) Median 87.8°F, IQR = 5°F (D) Median = 87.8°F, IQR = 9°F (E) Median 87.8°F, IQR = 41°F
- What is the P(-2.5 < t < 2.5) with a sample size of 15 ?me of a CIA agent is greater than $81,623 (based on data from payscale.com) given that the test statistic is t = 1 20 for a sample of 40 CIA agents. 4. P-Value Find the P-value in a test of the claim that the mean annual 1.304A test of reading skills is administered to 12th grade students. The distribution of scores is normal with mean 288 and standard deviation 38. Using the 68-95-99.7 rule, fill in the blanks in the statement below: 95% of reading scores will be between (blank) and (blank)