Find the margin of error for the given values of c, o, and n. c = 0.90, o = 3.6, n = 81 Click the icon to view a table of common critical values.
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- Let x represent the hemoglobin count (HC) in grams per 100 milliliters of whole blood. The distribution for HC is approximately normal with μ = 14 for healthy adult women. Suppose that a female patient has taken 12 laboratory blood samples in the last year. The HC data sent to her doctor is listed below. We would like to know if the data indicates this patient has significantly high HC compared to the population. 14,19,16,14,19,19,14,21,17,17,14,17 Give the p-value and interpret the results. a) p = 0.0012; Based on 5% significance level, I will reject the null hypothesis and conclude this patient has a high HC level. b) p = 0.0012; Based on 5% significance level, I will fail to reject the null hypothesis and conclude this patient does not have a high HC level. c) p = 0.0023; Based on 5% significance level, I will reject the null hypothesis and conclude this patient has a high HC level. d) p = .1053; Based on 5% significance level, I will fail to reject the null hypothesis and…Find the margin of error for the given values of c, o, and n. c= 0.90, o = 3.4, n= 36 Click the icon to view a table of common critical values. E = (Round to three decimal places as needed.)Please do not give solution in image format thanku The distribution of hemoglobin in grams per deciliter of blood is approximately N(15,2) in women and approximately N(16,3) in men. a. What percent of men have less hemoglobin than the women’s mean hemoglobin? b. What percent of men have more hemoglobin than the women’s mean hemoglobin? c. What percent of women have more hemoglobin than the men’s mean hemoglobin?
- Let x represent the hemoglobin count (HC) in grams per 100 milliliters of whole blood. The distribution for HC is approximately normal with μ = 14 for healthy adult women. Suppose that a female patient has taken 12 laboratory blood samples in the last year. The HC data sent to her doctor is listed below. We would like to know if the data indicates this patient has significantly high HC compared to the population. 22,17,20,17,17,14,16,21,15,21,15,22 Give the p-value and interpret the results. a) p = .1053; Based on 5% significance level, I will fail to reject the null hypothesis and conclude this patient does not have a high HC level. b) p = .0562; Based on 5% significance level, I will fail to reject the null hypothesis and conclude this patient does not have a high HC level. c) p = 0.0003; Based on 5% significance level, I will fail to reject the null hypothesis and conclude this patient does not have a high HC level. d) p = 0.0003; Based on 5% significance level, I will reject the…Select the correct answer below: r is significant because it is between the positive and negative critical values. r is not significant because it is between the positive and negative critical values. r is significant because it is not between the positive and negative critical values. r is not significant because it is not between the positive and negative critical values.Please write complete thx. Penicillin is produced by the Penicillium fungus, which is grown in a broth whose sugar content must be carefully controlled. Several samples of broth were taken on each of three successive days, and the amount of dissolved sugars (in mg/mL) was measured on each sample. The results were as follows: Day 1 4.6 4.9 5.0 4.8 5.2 4.9 Day 2 5.0 5.0 5.1 5.5 5.1 5.3 Day 3 5.7 5.6 5.3 5.5 5.4 5.4 6.2 5.3 a) State the appropriate hypotheses to test for a difference in means. b) Construct the appropriate ANOVA table. c) Use the ANOVA table from part b) to test whether there is a difference in the mean amount of dissolved sugars between the three days at the .05 level. d) Is it applicable to follow up with Tukey-Kramer pairwise comparisons? If so, determine which pair(s) of means are significantly different using the Tukey-Kramer method. If not, explain why not.
- Medicare spending per patient in different U.S. metropolitan areas may differ. Based on the sample data below, answer the questions that follow to determine whether the average spending in the northern region is significantly less than the average spending in the southern region at the 1 percent level. (a-2) Specify the decision rule. (Use the quick rule to determine degrees of freedom. Round your answer to 3 decimal places. A negative value should be indicated by a minus sign.) (b) Find the test statistic tcalc assuming unequal variances. (Round your answer to 2 decimal places. A negative value should be indicated by a minus sign.) Medicare Spending per Patient (adjusted for age, sex, and race) Statistic Northern Region Southern Region Sample mean $ 3,978 $ 7,158 Sample standard deviation $ 1,420 $ 3,679 Sample size 13 patients 19 patientsA sample of 30 commuters in the area of a certain city yielded the accompanying commute times, in minutes. Preliminary data analyses indicate that the t-interval procedu interval for the mean commute time of all commuters in the area of the city. (Note: x= 27.47 minutes and s 9.81 minutes.) Click here to view the commute times. Click here to view page 1 of the t-table. Click here to view page 2 of the t-table. an reasonably be applied. Find and interpret a 99% confidence ..... The 99% confidence interval is from minute(s) to minute(s). (Round to one decimal place as needed.) Commute times 22 28 33 26 42 29 27 36 25 14 47 39 32 15 18 11 21 17 30 26 15 21 28 17 29 46 18 36 36 40 Print Done Clear all Check answer View an example Get more help - Help me solve this NOV W 3,769 étv 23 280 MacBook Air DII F11 F12 吕口 888 F10 • F7 F8 F9 F5 F6 F4 esc F2 F3 F1 & %23 %24 dele 7 8 9- 2 4. E R Y. 会 w/1:15 (a) Which variable is the explanatory variable? OA. One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Click the icon to view the housing data. Square Footage Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. Ay 4500- 000 1000 mylab.pearson.com/ + ® : 3 4500 Data Table Q Square Footage, x 2148 3231 1177 1988 3064 2735 4146 2215 2625 1629 1773 3887 Print ||| OB. r= 0.899 (Round to three decimal places as needed.) = AX 4500- 1000+++ 150 750 Q (c) Determine the linear correlation coefficient between square footage and asking price. Done Ay 750- Vo) 1 LTE2 150- O 1000 Selling Price ($000s), y D 371.1 382.2 197.6 339.9 614.9 364.7 632.7 377.7 427.5 285.9 268.9 701.4 4500 .... .... Q X D. Ay 750- 41% 150+ 1000 4500
- Speed cameras (SC) are used to reduce the risk of accidents in accident-prone zones in metropolitan cities. To study the effectiveness of speed cameras, transport engineers would like to compare the average number of accidents in junction A (with SC) and junction B (without SC). The number of accidents in 105 weeks in two junctions are provided below. 6 7+ Number of Accidents 0 1 2 3 4 5 Observed frequency 40 20 15 16 10 3 1 0 Number of Accidents 0 1 2 3 4 5 6 7+ Junction B without SC Observed frequency 25 24 18 15 18 41 0 Junction A with SC Test the average number of accidents per week in junctions A and B are same at the 5% significance level.Find the margin of error for the given values of c, σ, and n. c=0.90, σ=3.5, n=36 LOADING... Click the icon to view a table of common critical values. E=enter your response here (Round to three decimal places as needed.)our p value is .03 and you chose your α level to be .05. What kind of error could you be making? a. Type I error b. Type II error c. Type I and Type II error d. Neither errors