A doctor wants to estimate the mean HDL cholesterol of all 20- to 29-year-old females. How many subjects are needed to estimate the mean HDL cholesterol within 4 points with 99% confidence assuming s=15.3 based on earlier studies? Suppose the doctor would be content with 90% confidence. How does the decrease in confidence affect the sample size required? Question content area bottom Part 1

A doctor wants to estimate the mean HDL cholesterol of all 20- to 29-year-old females. How many subjects are needed to estimate the mean HDL cholesterol within 4 points with 99% confidence assuming s=15.3 based on earlier studies? Suppose the doctor would be content with 90% confidence. How does the decrease in confidence affect the sample size required? Question content area bottom Part 1

College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter4: Polynomial And Rational Functions

Section4.6: Rational Functions

Problem 11SC: Find the mean hourly cost when the cell phone described above is used for 240 minutes.

See similar textbooks

Part 1

A 99% confidence level requires

enter your response here

subjects. (Round up to the nearest subject.)

Partial Critical Value Table
Level of Confidence,
(1-x). 100%
90%
95%
99%
Area in Each Tail.
Print
0.05
0.025
0.005
x Critical Value, Zα/2
2
Done
1.645
1.96
2.575
-
X

Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Similar questions

Find the mean hourly cost when the cell phone described above is used for 240 minutes.
Use the information given in the table below to find a 95% Prediction Interval for y when x = 10. n = 20 x_bar = 15 %3D beta0_hat = 53 SSXX = 62 beta1_hat = - 4.5 S = 9 (- 14.79, 30.79) (-0.57, 16.57) (-10.25, 26.25) O (- 4.73, 20.73)
right tailed t-test; df: 10, alpha: 0.05
I need the remaining three parts there.
calculate Mean absolute deviation for 3 months moving average 3 months weightedmoving exponential smoothing with constant 0,2 and the other with 0.5
Pulmonary Disease Forced expiratory volume (FEV) is an index of pulmonary function that measures the volume of air expelled after 1 second of constant effort. FEV is influenced by age, sex, and cigarette smoking. Assume that in 45- to 54-year-old nonsmoking men FEV is normally distributed with mean = 4.1 L and standard deviation = 0.5 L. = 0.6 L. (Assume that FEV can be measured exactly and no continuity correction is In comparably aged currently smoking men FEV is normally distributed, with mean = 3.9 L and standard deviation necessary. Round your answers to four decimal places.) USE SALT (a) If an FEV of less than 2.5 L is regarded as showing some functional impairment (occasional breathlessness, inability to climb stairs, etc.), then what is the probability that a currently smoking man has functional impairment? (b) What is the probability that a currently nonsmoking man has functional impairment? Some people are not functionally impaired now, but their pulmonary function usually…
· A drug company is considering marketing a new local anesthetic. The effective time of the anesthetic the drug company is currently producing has a normal distribution with an average of 7.4 minutes with a standard devia- tion of 1.2 minutes. The chemistry of the new anesthetic is such that the effective time sho- uld be normal with the same standard devia- tion, but the mean effective time may be lo- wer. If it is lower, the drug company will market the new anesthetic; otherwise, they will continue to produce the older one. A sam- ple of size 36 results in a sample mean of 7.1. A hypothesis test will be done to help make the decision. Test hypothesis in level of significance = 0.10
Researchers measured the percent call: Im(formula - Symptoms - wear_mask, data - some_states) of people in 25 states who 'knew someone with COVID symptoms' (ŷ) Residuals: Min 10 Median 30 мах -7.9167 -2.3306 -0.2469 2. 5020 7.3345 coefficients: and regressed this on the (Intercept) 111.0981 wear_mask Estimate std. Error t value Pr(>|t|) 10. 5423 10. 538 2.82e-10 *** -8. 375 1.94 e-08 *** -1.0419 0.1244 percent of the population frequently wearing a mask in public (x). signif. codes: 0 ***** 0.001 **** 0.01 * 0.05 '.' 0.1''1 Residual standard error: 3. 859 on 23 degrees of freedom Multiple R-squared: 0.7531, F-statistic: 70.15 on 1 and 23 DF, p-value: 1.936e-08 Adjusted R-squared: 0.7423 Which of the following represents the correct regression equation? 1) ŷ = -1.04 + 111x 2) x = 111.10 – 1.04ý 3) ŷ = 111.10 + 10.54x %3D 4) ŷ = 111.10 – 1.04x
As the director of a research laboratory you are paid to decide if there is a significantdifference between the mean values of two sets of data obtained by two different scientists, asenior scientist and one recently hired. Use 95% CL. (t at df = 10 is 2.23)• Data of Senior Scientist: x mean = 24.66% with s = 0.06% for n = 5• Data of the New Kid: x mean = 24.55% with s = 0.10% for n = 7
Find X1.05 for x² distribution with 10 degrees of freedom. = X0.05 (Round the answer to 3 decimal places)
call: Researchers measured the percent 1m(formula = Symptoms - wear_mask, data - some_states) of people in 25 states who ʻknew someone with COVID symptoms' (ŷ) and regressed this on the percent of the population frequently wearing a mask in public (x). Residuals: Min -7.9167 -2.3306 -0.2469 2.5020 7. 3345 10 Median 30 Маx coefficients: (Intercept) 111.0981 wear_mask Estimate std. Error t value Pr (>|t|) 10. 5423 10. 538 2.82e-10 *** -8. 375 1. 94 e-08 *** -1.0419 0.1244 signif. codes: 0 ****' 0.001 ***' 0.01 **' 0.05 '.' 0.1 ' ' 1 Residual standard error: 3.859 on 23 degrees of freedom Multiple R-squared: 0.7531, F-statistic: 70.15 on 1 and 23 DF, p-value: 1.936e-08 Adjusted R-squared: 0.7423 If 75 percent of people in a state wear masks regularly, what % of people does this model predict will know someone with COVID symptons? 1) 32 2) 33 3) 34 4) 35
Demand in each period is normally distributed with a mean of 100 and astandard deviation of 50. What is the mean of the normal distribution that describesdemand over 4 periods?