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Using Correct Distribution. In Exercises 5–8, assume that we want to construct a confidence interval. Do one of the following, as appropriate: (a) Find the critical value tα/2, (b) find the critical value zα/2 or (c) state that neither the
7. Denver Bronco Salaries Confidence level is 99%, σ = 3342 thousand dollars, and the histogram of 61 player salaries (thousands of dollars) is shown in Exercise 6.
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- Helpparrow_forwardHow do I solve this?arrow_forwardyou calculated the sample data to construct a 90% and 99% confidence interval for the average diameter of ball bearings produced from this manufacturing process. These confidence intervals were created using the Normal distribution based on the assumption that the population standard deviation is known and the sample size is sufficiently large. The confidence intervals rounded to two decimal places are: 90%= ( 2.40, 2.64) and 99% = (2.34, 2.70) Interpret both confidence intervals. Make sure to be detailed and precise in your interpretation. It has been claimed from previous studies that the average diameter of ball bearings from this manufacturing process is 2.30 cm. Based on the sample of 50 that you collected, is there evidence to suggest that the average diameter is greater than 2.30 cm? Perform a hypothesis test for the population mean at alpha = 0.01. In your initial post, address the following items: Define the null and alternative hypothesis for this test in mathematical…arrow_forward
- Which confidence interval would lead you to Fail to Reject H0? Test value: 5 Confidence Interval: 4.5 – 6.3 Test value: 5 Confidence Interval: 5.6 – 6.9 Test value: 10 Confidence Interval: 13.1 – 15.1 Test value: 10 Confidence Interval: 9.2 – 9.8arrow_forwardPart 1: 1-1. X1, X2, ... is a random sample of N (H, a?), find the distribution of Y = (n-1)s²arrow_forwardPlease determine the critical valuearrow_forward
- Dp4arrow_forwardConfidence interval of the population mean is given by: X+2 x where X is the mean, s is the standard deviation and n is the sample size. Create a function called "summary" that lists mean, %15 trimmed mean and the 95% bounds of confidence interval for a random sample. Use the function to calculate the statistics for the given sample where x= (1200, NA, 1205, 1203, 1296,1304) 1. 2.arrow_forwardConstruct a 95% confidence interval of the population proportion using the given information. x=45, n=150 The lower bound is The upper bound isarrow_forward
- You are interested in finding a 90% confidence interval for the average number of days of class that college students miss each year. The data below show the number of missed days for 10 randomly selected college students. Round answers to 3 decimal places where possible. 3 11 12 4 9 4 12 4 12 11 b. With 90% confidence the population mean number of days of class that college students miss is between ( ) and ( ) days.arrow_forwardstatistics practitioner took a random sample of 48 observations from a population whose standard deviation is 23 and computed the sample mean to be 100. Note: For each confidence interval, enter your answer in the form (LCL, UCL). You must include the parentheses and the comma between the confidence limits. A. Estimate the population mean with 95% confidence. Confidence Interval = B. Estimate the population mean with 95% confidence, changing the population standard deviation to 47; Confidence Interval = C. Estimate the population mean with 95% confidence, changing the population standard deviation to 10; Confidence Interval =arrow_forwardf n=200 and X=80, construct a 99% confidence interval estimate for the population proportion.arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill