Critical value z= 1.645, phat= 0.874, n= 500 what is the margin of error?
Q: The classification which is done on the basis of cost, weight, marks is considered as: a.…
A: We know that the variables cost, weight , marks are Quantitative data types and the qualitative…
Q: Bone density test scores are normally distributed with a mean of 0 and a standard deviation of 1.…
A: Let the score be denoted by X. Z score corresponding to bone density score can be calculated as…
Q: The lapse rate is the rate at which the temperature decreases in the atmosphere with respect to…
A:
Q: Deviation( ) Deviation( ) Height( ) x-mean| Diameter( ) |x-mean| 0.06568 0.06568 0.06553 0.06566…
A: Mean of any dataset is the average value of the data which is computed by dividing the sum of the…
Q: Alex works 15 hours per week. Find the lower bound of 95% prediction interval for Alex's grade.
A: From the provided information, The 95% prediction interval for Alex's grade is (-1.939517,…
Q: What is the critical value? The critical value is (Round to three decimal places as needed.)
A: The degrees of freedom is, df=n-1=8-1=7 The degrees of freedom is 7. The level of significance is…
Q: A sampling distribution of means for samples of students taking the SAT exam has a population mean…
A: It is given that the sampling distribution has a population mean 500 and standard error 200.
Q: The mean and standard deviation of a normal variate X is 2 and 4 respectively. Find third and fourth…
A: Given,mean(μ)=2standard deviation(σ)=4=2
Q: In a normal distribution, a data value located 0.7 standard deviations below the mean has Standard…
A: The mean and standard deviation of the standard normal distribution are 0 and 1.
Q: An exponential distribution is special case of the gamma distrbution صواب ihi
A:
Q: Hookworm prevalence rate was 30% before the specific treatment and adoption of other measures.…
A: Given Proportion, P= 30% So Q=100-30= 70% Allowable error, d is 0.03 and 0.06
Q: A prospective cohort study is run to estimate the incidence of stroke in persons 55 years of age and…
A: Given data Number of strokes Number of stroke free…
Q: How the critical value for a test is related to the specified alpha leve
A: In hypothesis testing, a critical value is a point on the test distribution that is compared to the…
Q: Diameters of bolts produced by a particular machine are normally distributed with mean 0.760 cm and…
A: GivenMean(μ)=0.760standard deviation(σ)=0.012specifications call for diameters from 0.720 to 0.780…
Q: deviation of 5 months. Using the 68-95- rule, what is the approximate percentage of cars that remain…
A: Here use impirical rule for bell shaped distribution with mean 38 months and standard deviation 5…
Q: Mean lifetime of these batteries (i) (ii) Probability that such battery will last more than 300 hrs.
A:
Q: illustrate the rejection region given the critical value and identify if the t-values lie in the…
A: Since you have posted a question with multiple sub-parts, we will solve first three sub-parts for…
Q: Tangenet and Normal Lines.pdf
A: Since you have posted multiple problems ,we solve the first problem only .To get the remaining…
Q: the critical region. Is the outcome x = 21.1 a good evidence that the population mean score is…
A: Given: Sample size, n = 43 Population mean, = 20 Sample mean, = 21.1 Standard deviation, = 6
Q: Part 4 Give a point estimate of the mean permeability when compressive strength is x = 3.7. (Round…
A:
Q: Priya is investigating the population density of deer in several different forests. The mean…
A: Let X denote the population density of deer in several forests. Given that mean = 36.4 and SD = 4.6…
Q: How do I find the indicated IQ score when the given mean is 100 and the give standard divatation is…
A:
Q: Coefficient of variation is ascertained by: a. Standard Deviation/Mean X 100 b. Mean/Standard…
A:
Q: Regarding Inferential Statistics I can not figure out how to find a critical value.
A: A critical value is a line on a graph that splits the graph into sections. One or two of the…
Q: In a normal distribution, a data value located 1.4 standard deviations below the mean has Standard…
A:
Q: A manufacturer wants to increase the shelf life of a line of cake mixes. Past records indicate that…
A:
Q: Find the marginal distribution of blood pressure level.
A: Number of employees with low blood pressure is (21 + 25 + 64) = 110 Number of employees with Normal…
Q: The recommended intake for Calcium for adults is 1000 mg per day. A researcher is interested to…
A: The researcher is interested to determine if adults with high income level have more calcium intake…
Q: Can you round the critical values to 3 or more decimal po
A: The level of significance is 0.05.
Q: The value added and subtracted from a point estimate in order to develop an interval estimate of the…
A: Confidence interval is the range of values use to estimate true population parameter.
Q: Short note on Standard Error of Estimate.
A: The standard error (SE) of an estimate is simply the standard deviation of the sampling…
Q: uppose that contamination particle size (in micrometers) can be modeled as (x) = 3x-3 for 1<x.…
A:
Q: P- Value = Blank 1 Is there evidence to support the claim that mean battery life exceeds 4 hours?…
A: Given : n=50 , X-bar=4.05 , σ=0.2 , μ0=4 , α=0.05 Since , the population standard deviation (σ) is…
Q: What is the critical value? The critical value is . (Round to three decimal places as needed.)
A: The test statistic is -1.22.
Q: In a normal distribution, a data value located 0.7 standard deviations below the mean has Standard…
A: Z distribution has mean =0 and sd =1
Q: how to find that which type of kurtosis is represent by the curve in sample distribution.
A: Kurtosis is a statistical measure that defines how heavily the tails of a distribution differ from…
Q: Define the term given critical values
A: Critical: value: The critical value is a value on the probability distribution which helps to decide…
Q: As alpha level decreases (0.05->0.01), critical values move: They don't change. Obtained statistic…
A:
Q: Calculate a 95% two-sided CI for the true average bond strength. (b) Calculate a 95% two-sided CI…
A: The 95% confidence interval for the true average bond strength, will signify that, with 95%…
Q: A community has 60,000 inhabitants, 35,000 of which are female. Of the female population, 525 have…
A: Given, Total inhabitants = 60000 No of Females = 35000 No of females diagnosed with disease = 525
Q: significance, can it be concluded that the average age of the taxis in his company is less than the…
A: It is given that Sample size n = 40 Sample mean M = 11.2 Population SD = 2.3 Level of significance =…
Q: Based from the Problem and ANOVA Table, what is the critical/tabular value of F? Write your answer…
A: Solve using Two-way ANOVA method Observation A B 1 98.4,97.4,96.8,98.2 98.4,97.4,97.4,98.0 2…
Q: (d) Course evaluation scale: poor, acceptable, good nomina lordinal interval ratio (e)…
A: Levels of measurement: Nominal: It categorizes the objects without any natural ordering. Ordinal: It…
Q: Simpson's Rule approximates
A: (B) We have to find out the function which give exact value by Simpson's Rule.
Q: afproximate Oci9nt decima
A: Let x=100100
Q: The reaction time in seconds of a person can be modeled by a lognormal distributed with mean of-0.35…
A: Given that. X~N( μ , ?^2 ) μ= -0.35 , ?=0.2 Z-score =( x - μ )/?
Q: ores are compared at the end of the year. ext, construct the ANOVA model.
A: a) let k denote the number of groups and n denote the total number of students. The number of groups…
Q: Distinguish Experimental Conditions from Experimental Unit.
A: Given information: Experimental Conditions from Experimental Unit.
Step by step
Solved in 2 steps
- Find the mean hourly cost when the cell phone described above is used for 240 minutes.Length and width of a rectangle are measured with errors of +3% and ±5% respectively. Estimate the maximum percentage error in the area.Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Use ? = .05. Q) If a participant has the same corneal thickness in their normal eye as the eye with Glaucoma, what would be the value for difference: measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma.
- Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Use ? = .05. Hypothesis: H0: μd=0Ha: μd≠0 Using output Test statistics : t=0.134P value=0.897 Degrees of freedom (df): df=7 Level of significance: α=0.05 Decision: P value > 0.05 thus we fails to reject null hypothesis. Question a)Write a report summarizing your findings. When writing the report consider that medical staff estimate that a difference of 4.5 microns or more could impact on their ability to interpret eye pressure correctly. b) Define for the hypothesis stated in part b) what a type 1 error and type 2 error would mean. Is it possible…Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Use ? = .05 H0: μd=0 H1: μd≠0 T statistic: t = 1.053, P value = 0.327 Degrees of Freedom n-1 = 8-1= 7 critical value 2.3646 If t is less than 2.3646, or greater than 2.3646, reject the null hypothesis Level of significance: α=0.05 question: what a type 1 error and type 2 error would mean. Is it possible that we could have committed a type 2 error in conducting the testGlaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Use ? = .05. Q)Conduct a hypothesis test to determine if there is sufficient evidence to conclude that corneal thickness is different in normal eyes compared to eyes with glaucoma? Write up your results using the 8 steps.
- Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Use ? = .05. If a participant has the same corneal thickness in their normal eye as the eye with Glaucoma, what would be the value for difference: measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma.What level of measurement would be used to measure the colors of insulated tumblers sold in a bazaar during a specific month? Ratio O Interval Nominal OrdinalGlaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Question: Write a report summarizing your findings When writing the report consider that medical staff estimate that a difference of 4.5 microns or more could impact on their ability to interpret eye pressure correctly.
- Glaucoma is a leading cause of blindness in the United States, N. Ehlers measured the difference in corneal thickness (in microns) between the two eyes of eight patients. Each patient had one eye that had glaucoma and one eye that was normal. The difference was measured as the corneal thickness of normal eye – corneal thickness of eye with Glaucoma. Corneal thickness is important because it can mask an accurate reading of eye pressure. Question:If the t statistic falls below the effect size in which we reject the null, but the p value is greater than 0.05. Do i reject the null? As my scenario had no population mean because the differences were recorded, do i set a test value of 10 or keep it at 0?A student will buy printer paper and graph paper. Part A: Let p represent the number of packages of printer paper, and let g represent the number of packages of graph paper. Which inequality represents the constraint on the amount of money the student can spend? • Printer paper costs $3 per package • Graph paper costs $4 per package • The student needs to buy at least 6 packages of paper • The student can spend at most $36 Op+8< 36 Op+826 o 3p + 4g s 36 o 3p + 4g s 6 Part B: Which graph represents all of the possible combinations of packages of printer paper and graph paper the student can purchase based on the scenario? Number of packages of printed paper Number of packages of printed paperYou want to estimate the mean hourly yield for a process that manufactures a face wash. You observe the process for 100 hourly periods chosen at random, with the results x‾=42x=42 ounces per hour and s = 4. Estimate the mean hourly yield for the process and calculate the 95% margin of error.