Referring to Table 1, the null hypothesis should not be rejected: Question 4 options: 1) True 2) False 3) Unknown
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Referring to Table 1, the null hypothesis should not be rejected:
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- Use the sample data and confidence level given below to complete parts (a) through (d). A research institute poll asked respondents if they felt vulnerable to identity theft. In the poll, n= 1048 and x = 568 who said "yes." Use a 95% confidence level. Click the icon to view a table of z scores. Standard Normal (z) Distribution a) Find the best point estimate of the population proportion p. .00 .01 .02 .03 .04 .05 .06 .07 .08 .09 (Round to three decimal places as needed.) 0.0 .5000 .5040 .5080 .5120 .5160 .5199 .5239 .5279 .5319 .5359 0.0 0.1 .5398 .5438 .5478 .5517 .5557 .5596 .5636 .5675 .5714 .5753 0.1 0.2 .5793 .5832 .5871 .5910 .5948 .5987 .6026 .6064 .6103 .6141 0.2 0.3 .6179 .6217 .6255 .6293 .6331 .6368 .6406 .6443 .6480 .6517 0.3 0.4 .6554 .6591 .6628 .6664 .6700 .6736 .6772 .6808 .6844 .6879 0.4 0.5 .6915 .6950 .6985 7019 .7054 .7088 .7123 .7157 .7190 .7224 0.5 0.6 .7257 .7291 7324 7357 .7389 .7422 .7454 .7486 .7517 .7549 0.6 0.7 .7580 .7611 .7642 7673 7704 .7734 .7764 .7794…conline.austincc.edu/webapps/assessment/take/launch.jsp?course_assessment_id%3= 756751_1&course_id= 846. * Question Completion Status: QUESTION 3 An elementary school student comes down with a stomach virus the day after she swims at the local pool. Her father warns other parents at the school that the pool is unsanitary and causes virus to spread. What should the parents conclude? Choose the best answer. O The pool is indeed unsanitary and causes viruses to spread. O The pool is not unsanitary and does not cause viruses to spread. O There is an association between people visiting the pool and increased reports of viruses. O There is no association between people visiting the pool and increased reports of viruses. O Nothing can be concluded because this is an anecdote. QUESTION 4 10 Is the following an observational study or an experiment? Take a random sample of people at a fitness center. Ask them if they use resistance bands or not. Compare the average muscle mass for those who do…Panan. 98p.
- Give detailed explaination on bartelbyRead the box "The Return to Education and the Gender Gap." The Return to Education and the Gender Gap Dependent variable: logarithm of Hourly Earnings. * Regressor Years of education Female Female x Years of education Potential experience Potential experience² Midwest South West Intercept (1) 0.1035** (0.0009) 1.533" (0.012) 0.208 (2) 0.1050** (0.0009) -0.263** (0.004) 1.629" (0.012) 0.1001" (0.0011) 0.258 -0.432** (0.024) 0.0121" (0.0017) 1.697** (0.016) (4) 0.1013** (0.0012) 0.258 -0.451" (0.024) 0.0134" (0.0017) 0.0136** (0.0012) -0.000184** (0.000021) -0.095" (0.006) -0.092** (0.006) -0.028"* (0.007) 1.328" R² The sample size is 52,970 observations for each regression. Female is an indicator variable that equals 1 for women and 0 for men. Midwest, South, and West are indicator variables denoting the region of the United States (0.023) 0.267A researcher interested in determining if there is an association between head circumference and brain volume tested for linear correlation at the a= 0.05 significance level. She took a random sample of twenty adults and measured the head circumference and brain volume (using ultrasound) for each person in the sample. The table above gives the paired data for the twenty adults. The researcher determined there is positive linear correlation between head circumference and brain volume at the 0.05 level of significance. With that information answer the following questions. 1.) Since we've determined there is linear correlation between head circumference and brain volume from the output on the TI83/84 what is "a" the y-intercept of the regression line? A. a=.508 B. a=34.740 C. a=-110.572 D. a=-823.829 2. Since we've determined there is linear correlation between head circumference and brain volume from the output on the T183/84 what is "b" the slope of the regression? A. b=34.740 B. b=.508…
- 525.6 172.4 623.6 888.1 482.5 218.9 550 787.7 491.3 370.7 528.3 525.6 351.4 629.5 181 803.8 584 541.6 521.7 316.2 490.5 494.4 468 468 633.8 468 623.6 484.9 553.1 578.7 623.6 541.5 362.6 827.5 498.5 613.5 292.6 715.5 622.1 443.2 507.4 480.3 581.9 643.4 528.8 484.6 182.5 181.4 649.3 470.9 701.5 755.7 833.3 419 Find the first quartile for this data set.Q1 = Find the third quartile for this data set.Q3 = Find the interquartile range for this data set. IQR =20. Smart Phone Insurance Construct and analyze a pie graph for the people who did or did not buyWe want to predict the selling price of a house in Newburg Park, Florida, based on the distance the house lies from the beach. Suppose that we're given the data in the table below. These data detail the distance from the beach (x, in miles) and the selling price (y, in thousands of dollars) for each of a sample of fifteen homes sold in Newburg Park in the past year. The data are plotted in the scatter plot in Figure 1. Also given is the product of the distance from the beach and the house price for each of the fifteen houses. (These products, written in the column labelled "xy", may aid in calculations.) Distance Selling price, from the beach, x (in miles) y (in thousands of dollars) ху 00 11.6 282.3 3274.68 11.3 222.2 2510.86 17.8 223.5 3978.3 350- 13.6 264.2 3593.12 300-- 7.8 224.4 1750.32 14.3 195.5 2795.65 250- 7.0 296.3 2074.1 200 9.8 227.9 2233.42 7.8 247.0 1926.6 150 6.9 313.1 2160.39 3.9 317.3 1237.47 Distance from the beach (in miles) 5.4 268.1 1447.74 13.4 196.6 2634.44…