A researcher reports that the average IQ level of students in Alaminos City National High School (ACNHS) is 110. A sample of 20 students has a mean IQ level of 106 with a standard deviation of 9. At 5% level of significance, test the claim that the IQ level of students in ACNHS is 110.
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A researcher reports that the average IQ level of students in Alaminos City
National High School (ACNHS) is 110. A sample of 20 students has a mean IQ
level of 106 with a standard deviation of 9. At 5% level of significance, test the
claim that the IQ level of students in ACNHS is 110.
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- Step 2 (b) Compute R,". The adjusted multiple coefficient of determination is denoted by R. This adjusted value takes into consideration the number of independent variables used in the model. It is calculated as follows using the multiple coefficient of determination R2 where n is the number of observations and p is the number of independent variables. Note that it is possible for R to take on negative values. 2 a 2 1 R3 = 1 - (1 – R?) %3D n - p 1 The estimated regression equation given below was constructed from 30 observations, so n = ŷ = 17.6 + 3.8x, - 2.3x2 + 7.6x3 + 2.7x4 %3D The independent variables are denoted by x;. This equation has independent variables, so p = Submit Skip (you cannot come back)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.A paper gives data on x = change in Body Mass Index (BMI, in kilograms/meter?) and y = change in a measure of depression for patients suffering from depression who participated in a pulmonary rehabilitation program. The table below contains a subset of the data given in the paper and are approximate values read from a scatterplot in the paper. BMI Change (kg/m²) 0.5 -0.5 0.1 0.7 0.8 1 1.5 1.2 1 0.4 0.4 Depression Score Change -1 4 4 5 8 13 14 17 18 12 14 The accompanying computer output is from Minitab. Fitted Line Plot Depression score change = 6.512 + 5.472 BMI change 5.26270 20- R-Sq R-Sq (adj) 19.88% 27.16% 15- 10- 5- 0- -0.5 0.0 0.5 1.0 1.5 BMI change R-są 5.26270 27.16% Coefficients Term Coef SE Coef T-Value P-Value VIF 6.512 5.472 Constant 2.26 2.88 0.0164 BMI change 2.83 1.93 0.0823 1.00 Regression Equation Depression score change = 6.512 + 5.472 BMI change (a) What percentage of observed variation in depression score change can be explained by the simple linear regression…
- The critical values associated with a 80% Cl for the population mean when x = 12.5, %3D n 13 and o is unknown are:Using the chart below, Given 6 degrees of freedom and an ?=0.05, what is the critical value of X2 for 1-(?/2)?Evaluate the following grades: (Case 1) a grade of 220 points on an exam with u = 200 ando = 21. (Case 2) a grade of 90 points on an exam with µ = 80 and o = 8. * The better grade cannot be determined. The first grade is better. The two grades are equal statistically. The second grade is better.
- 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?The variable X, is the carbon monoxide concentration in air, and ten measurements are obtained as follows: 10.25, 10.37, 10.66, 10.47, 10.56, 10.22, 10.44, 10.38, 10.63, 10.40 mg/m3 . (i) Test whether the mean concentration of carbon monoxide in air is 10.00 mg/m3 . (ii) Calculate the power of the above test if the mean concentration of carbon monoxide in the alternative hypothesis is assumed to be 10.75mg/m3 .A paper gives data on x = change in Body Mass Index (BMI, in kilograms/meter2) and y = change in a measure of depression for patients suffering from depression who participated in a pulmonary rehabilitation program. The table below contains a subset of the data given in the paper and are approximate values read from a scatterplot in the paper. BMI Change (kg/m²) 0.5 -0.5 0 0.1 0.7 0.8 1 1.5 1.2 1 0.4 0.4 Depression Score Change -1 9 4 4 5 8 13 14 17 18 12 14 The accompanying computer output is from Minitab. Fitted Line Plot Depression score change = 6.512 + 5.472 BMI change 20 S 5.26270 R-Sq 27.16% R-Sq (adj) 19.88% 15- : 10- -0.5 0.0 1.5 Ⓡ S 5.26270 Coefficients Term Coef VIF SE Coef 2.26 T-Value 2.88 P-Value 0.0164 Constant 6.512 BMI change 5.472 2.83 1.93 0.0823 1.00 Regression Equation Depression score change = 6.512 + 5.472 BMI change (a) What percentage of observed variation in depression score change can be explained by the simple linear regression model? (Round your answer to…
- I need help Imagine that we collect the following scores in a small-scale study: 3, 5, 4, 5, 8, 5d) Calculate the t required to test H0: μX = 7.0 versus HA: μX ≠ 7.0.e) Evaluate the t using an α = .05 and state your conclusions.Let's examine the levels of levels of sodium in the blood. 20 people yield the following results (in mEq/L): y = 131.95 s = 2.544 (a) Test H0: μ = 135 using α = 0.001 (that's not a typo) (b) Figure out the p-value. (c) What is the smallest value of α for which you would reject the H0? (c) For which of the following values of α would you reject? i) .10 ii) .05 iii) .01 iv) .001 v) .000000013. In a test of Ho: µ = 85 against Ha: µ > 85, the sample data vield the sample statistic z = 1.64. Find %3D the p-value for the test.