B. Find the critical value of ta 1. 95%, n = 7o is unknown 2. 95%, n = 9 o is unknown 3. 90%, n= 19 o is unknown 4. 90%, n= 16 σ is unknown
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![B. Find the critical value of tą
1. 95%, n= 7 σ is unknown
2. 95%, n= 9 σ is unknown
3. 90%, n = 19 o is unknown
4. 90%, n = 16 σ is unknown](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5be569e4-8eb9-49ca-a081-b58ea29fdfde%2Ff1fde386-322c-427e-863b-d994ca0e6d6d%2Fetxfsl9_processed.jpeg&w=3840&q=75)
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- An article in the San Jose Mercury News stated that students in the California state university system take 4.5 years, on average, to finish their undergraduate degrees. Dr. Lewis believes the mean time for students at Clayton State University is longer than this average. A survey of 49 graduates from Clayton State had a mean time of 5.1 years to complete their Bachelor's degree, with a sample standard deviation of 1.2 years. Correctly identify the null and alternative hypotheses for this study:For a population with a μ = 80 and σ = 10 find the X value (score) that corresponds to each of the following z-scores. Z = +1.00 Z = +.20 Z = +1.50 Z = -.50 Z = -2.00 z = -1.50Suppose the time to complete an exam is normally distributed with µ = 40 minutes and σ = 5 minutes. After how many minutes can we expect all but about 3% of the tests to be completed?
- An appliance store receives a shipment of 30 microwave ovens, 5 of which are (unknown to the manager) defective. The store manager selects 4 ovens at random, without replacement, and tests to see if they are defective. Let X = number of defectives found. Calculate the pmf and cdf of X and plot the cdf. %3DThe Fish and Game Department stocked a lake with fish in the following proportions: 30% catfish, 15% bass, 40% bluegill, and 15% pike. Five years later it sampled the lake to see if the distribution of fish had changed. It found that the 500 fish in the sample were distributed as follows. Catfish Bass Bluegill Pike 122 75 222 81 In the 5-year interval, did the distribution of fish change at the 0.05 level Find the value of the chi-square statistic for the sample. Estimate the P-value of the sample test statistic. P-value > 0.100 0.050 < P-value < 0.100 0.025 < P-value < 0.050 0.010 < P-value < 0.025 0.005 < P-value < 0.010 P-value < 0.005 Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis that the population fits the specified distribution of categories? Since the P-value > α, we fail to reject the null hypothesis. Since the P-value > α, we reject the null hypothesis. Since the…... 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.
- At a large state university the average number of times that students meet with their academic advisors is μ = 3.6 with a σ = 1.1. The dean of student activities wondered what the relation was between involvement in extracurricular activities and being involved academically. She assumed that meeting with an academic advisor indicated students took their academics seriously. She obtained a random sample of 76 students involved in extracurriculars and found M = 4.8 for the number of times they met with their academic advisors. Did the students involved in extracurriculars have a different number of meetings with their academic advisors compared to the population of students in general? Use all hypothesis steps with p < .05.Find the P - value if the t-stat= -1.8, N=26, df = N-1, alpha = 0.05; and Ho: Mu1= Mu2; Ha : Mu1> Mu2 - 0.08 - 0.05 - 0.04 - 0.025Find P15, Q1,D3,Q2,D6 and P85
- A pilot study was performed to investigate the effect of temperature, x (in degree Fahrenheit) on the electrical power consumed, y (in Watt) by an automotive factory. Other factors were kept constant and the data were collected from the study. The summary of the data are given as follows: n = 8, 2x = 401, 2301, x? = 22495 2y? = 666509, Σ > xy = 118652. %3D Compute the equation of the least squares regression line of y on x. Interpret the equation obtained in part (i). Predict the power consumption for a temperature of 65°F. (i) (ii) (iii) (iv) Compute the coefficient of determination and explain.Suppose that X has a Poisson distribution with mean H = 2 and Y has an exponential distribution with mean 0 = 2. If X and Y are independent, find the mean and variance of W=4X -2Y. µ = 4, o² = 16 H = µ = 4, 6² = 12 H = 7,02 = 34 H = 4, o² = 48 H = 7,0² = 33Let Y₁, Y₂, .. Yn denote a random sample from an exponential distribution with mean 0. a. Show that Ô1 = nY(1) and ĝ2 = Ỹ are unbiased estimators for 0. b. Find the efficiency of ₁ relative to 02. c. Which of these two estimators is superior?
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