(a) What is the value of the standard error of the estimate? (Round your answer to three decimal places.) (b) Test for a significant relationship by using the t test. Use a = 0.05. State the null and alternative hypotheses. O Ho: Bq = 0 H: 8, - 0 O Ho: B 20 O Ho: B = 0 H: B 0 O Ho: Bo = 0 H: Bo = 0 O Ho: Bo +0 H 8o = 0
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- Here sample 10 people in a high school to try to predict GPA in 10th grade from GPA in 9th grade. here determine that SSE = 5.8. Compute the standard error of the estimate?Arsenic-based additives in chicken feed have been banned by the European Union. Ifa restaurant chain finds significant evidence that the mean arsenic level of theirchickens is above 80 ppb (parts per billion), the chain will stop using that supplier ofchicken meat. The hypotheses are: H 0 : µ = 80H 1 : µ > 80 where µ represents the mean arsenic level in all chicken meat from that supplier.Samples from two different suppliers are analyzed, and the resulting p-values aregiven: Sample from Supplier A: p-value is 0.0003Sample from Supplier B: p-value is 0.3500 a) Interpret each p-value in terms of the probability of the results happening byrandom chance. b) Which p-value shows stronger evidence for the alternative hypothesis? c) Which supplier, A or B, should the chain get chickens from in order to avoid toohigh a level of arsenic?What type of statistical test are you conducting if h1 states that the parameter is greater than the value claimed in h0? a) left-tailed b) right-tailed c) two-tailed d) dove-tailed
- A random sample of 430 observations produced a sample proportion equal to 0.39. Find the critical and observed values of z for the following test of hypotheses using α=0.025. H0: p=0.30 versus H1: p≠0.30. Round your answers to two decimal places.A researcher is interested in the leg strength of males and females. The following statistics (in newtons) are based on male and female samples of measurements of right-leg strength. (Assume the data are normally distributed.) Males: x1¯= 2127, s1= 513, n1 = 13; Females: x2¯ = 1843, s2 = 446, n2 = 14; df = 23 What t-score (tα/2) should be used to construct a 90% confidence interval for the true mean difference in leg strength between males and females?We obtain the following demand curve of beef in a market with 25 observations: Q = 635.736 - 48.165 P, where Q is the quantity demanded of beef measured in pounds, P is price measured in dollars per pound. The standard error of the slope coefficient is 2.546. What is the upper bound of the 95% confidence interval of the slope coefficient? note: df = n-2
- Use SPSS to run the analysis described in Question 6. What is the obtained t-statistic? Enter the value with three decimal places. If it is negative, be sure to include the sign.Find kurtosis by using ungroup data given in the picture using quartile deviation, make sure to arrange data before solving question.Patient satisfaction. Scores derived from a patient satisfaction survey are Normally distributed with μ = 50 and σ = 7.5, with high scores indicating high satisfaction. An SRS of n = 36 is taken from this population. What is the standard error (SE) of x for these data?
- Having the variation data regression line r=0.931 and the calculated coefficient of determination of 0.867.. And explained variation of the data of 86.7%.. About the unexplained variation? [ ] % of the variation is unexplained and is due to other factors or to sampling error. (Round to one decimal place as needed.)Although the event may seem startling to their students,119 statistics teachers participated in a fun run. Beforethe run, each person was asked to guess what his/her timewould be (in seconds). After the run, the actual times were plotted against the teachers’ guesses, and the as-sumptions for inference appeared to be reasonable. Here is the regression output:Dependent Variable: actualtimeR-squared = 75.01%s = 278.1940Variable Coefficient Se(coeff) t-ratio P-ValueIntercept 156.3777 79.3023 1.9719 0.051guess 0.887006 0.04734 18.739 60.0001a) Does this output provide evidence of an associationbetween guessed time and actual time? Explain. b) Assuming these 119 teachers represent a representa-tive sample from a larger population who might par-ticipate in such a run, construct and interpret a 95% confidence interval for the slope of the regression linefor that population.c) Does the interval you constructed in part b) supportyour conclusion in part a)? Explain.30 The following figure computed from SQFT data is given: ∑(? − ?̅)² = 128237398.86 Find standard error of the slope coefficient, se(?₁) = ______. The margin of error to build a 95% confidence interval for the slope coefficient that relates the price response to each additional square foot is _______. a 0.005 b 0.009 c 0.016 d 0.028