Which of the following will increase statistical power? SELECT ALL THAT APPLY. [ans1] a larger alpha a larger standard deviation a smaller sample size a larger effect size
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A: since there are multiple questions, first three parts answered. kindly repost for more help .
Q: Researchers conducted a study to determine whether magnets are effective in treating back pain. The…
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Q: estimated standard error?
A: standard error S.E = σn n= 23 with s^2 = 77 S.E = 7723=1.8297
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- Which of the following options correctly describes how to obtain the estimated standard error in a single sample t-test? a. Divide the population standard deviation by the sample size b. Divide the population standard deviation by the square root of the sample size c. Divide the sample standard deviation by the sample size d. Divide the sample standard deviation by the square root of the sample sizellustration 10.44. A calculating machine while calculating mean and standard deviation of 25 readings misread one observation as 36 instead of 26. The following results were given by a machine 6=5.0 and X=D30 %3D What are the correct values of X and o ? CS Scanned with CamScannerA fitness center bought a new exercise machine called the Mountain Climber. They decided to keep track of how many people used the machine over a 3-hour period. Here X is the number of people who used the machine. X 0 1 2 3 4 PX 0.2 0.2 0.1 0.4 0.1 Find the mean,variance and standard deviation
- Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 291.4 291.4 2.01 0.158 Residual Error 174 25230.0 145.0 Total 175 25521.4 Give the F-statistic and p-value.Enter the exact answers.The F-statistic is =The p-value is =Calculate the standard deviation and variance of the sample data shown, to two decimal places 19.4 9.9 24.8 11.8 16.1 7.5 Standard deviation: Variance: Question Help: OVideo Check Answer here to search F3 F4 F5 F6 F7 F8 F9 F1 @ %23 & 3 4. 7 8. W T Y U S G * CO 本 Cl LL 吉Assume that a randomly selected subject is given a bone density test. Bone density test scores are normally distributed with a mean of 0 and a standard deviation of 1. Draw a graph and find P15, the 15th percentile. This is the bone density score separating the bottom 15% from the top 85%. How to get and what is the bone density score corresponding to P15 is ?
- Answer the chi-square questions using the data below. Use an ? of 0.10? B A 1 2 3 4 1 20 29 11 19 2 9 18 24 21 a) What is the appropriate test statistic? ---Select--- na z-test One-Sample t-test Independent-Samples t-test Related-Samples t-test One-Way ANOVA Within-Subjects ANOVA Two-Way ANOVA Correlation Slope Chi-Square GoF Chi-Square IndependenceCompute the statistic selected in a): b) Obtain/compute the appropriate values to make a decision about H0.Critical Value = ; Test Statistic = Decision: ---Select--- Reject H0 Fail to reject H0c) Compute the corresponding effect size(s) and indicate magnitude(s).If not appropriate, input and/or select "na" below.Effect Size = ; Magnitude: ---Select--- na trivial effect small effect medium effect large effectThis assignment is worth 1 points. The extra point will be added to your overall course grade. For example: if you receive an 88% in the course you can receive up to 1 point giving you a new score of 89%. The following rubric will be used. 0.25 point for drawing the normal distribution curve with the mean value labeled on the curve and the appropriate area shaded. 0.25 point for determining the value of the standard deviation of the sample mean. 0.5 point for finding the correct probability. All work must be shown in order to receive any credit. Please upload your completed assignment here. The length of time taken on the SAT for a group of students is normally distributed with a mean of 2.5 hours and a standard deviation of 0.25 hours. A sample size of n = 60 is drawn randomly from the population. Find the probability that the sample mean is between two hours and three hours.The results of a certain medical test are normally distributed with a mean of 123 and a standard deviation of 20. Convert the given results into z-scores, and then use the table below to find the percentage of people with readings between 151 and 171. z-score Percentile z-score Percentile 1.0 84.13 2.1 98.21 1.1 86.43 2.2 98.61 1.2 88.49 2.3 98.93 1.3 90.32 2.4 99.18 1.4 91.92 2.5 99.38 -C 1.5 93.32 2.6 99.53 The percentage of people with readings between 151 and 171 is %. (Round the final answer to the nearest hundredth as needed. Round the z-score to the nearest tenth as needed.) 1.6 94.52 2.7 99.65 1.7 95.54 2.8 99.74 1.8 96.41 2.9 99.81 1.9 97.13 3.0 99.87 2.0 97.72 3.5 99.98
- Calculate the standard deviation and variance of the data shown, to two decimal places 8.9 18.5 9.7 20 26.2 10.6 Standard deviation: Variance: Enter an inteper or decimal number (more..] Check Answer ype here to search Esc C F5 F1 F2 F3 F4 F6 F7 F8 F9 F10 C@ %23 24 * 3 4. 7 8 9. W T Y AResearchers conducted a study to determine whether magnets are effective in treating back pain. Pain was measured using the visual analog scale, and the results shown below are among the results obtained in the study. Higher scores correspond to greater pain levels. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) to (c) below. Reduction in Pain Level After Magnet Treatment (μ1): n=27, x=0.46, s=0.89 Reduction in Pain Level After Sham Treatment (μ2): n=27, x=0.42, s= 1.43 * Find the t stat * Find the p value * state the conclusion * Does the confidence interval support the conclusion of the test * Does it appear that magnets are effective in treating back pain? Is it valid to argue that magnets might appear to be effective if the sample sizes are larger? * Is it valid to argue that magnets might appear to be…A one-sample z-test compares a sample with 50 participants with mean 83 to a population with mean 80 and standard deviation 10. What is the effect size d? 0.1 0.3 0.5 0.7