Question

In: Statistics and Probability

Give and interpret the 95% confidence intervals for males and females on the HEIGHT variable. Which...

  1. Give and interpret the 95% confidence intervals for males and females on the HEIGHT variable. Which is wider and why?
  2. Give and interpret the 99% confidence intervals for males and females on the HEIGHT variable. Which is wider and why?
  3. Find the mean and standard deviation of the DRIVE variable and then determine the percentage of data points from that data set that we would expect to be less than 40.
    Height (inches) Sleep (hours) Gender
    61 7 M
    62 7 F
    63 5 F
    63 7 F
    64 6 F
    65 8 F
    65 7 F
    66 8 F
    66 5 M
    67 8 M
    67 8 F
    67 4 F
    67 8 F
    68 8 M
    68 6 M
    69 8 M
    69 8 M
    69 8 M
    69 7 F
    69 10 M
    69 6 F
    69 7 M
    70 8 F
    70 5 F
    70 8 F
    70 7 F
    70 7 M
    71 4 M
    71 9 M
    71 8 M
    73 7 F
    73 7 M
    74 8 M
    74 8 M
    75 10 M

Solutions

Expert Solution

MINITAB used

· Give and interpret the 95% confidence intervals for males and females on the HEIGHT variable. Which is wider and why?

Descriptive Statistics

Sample

N

Mean

StDev

SE Mean

95% CI for μ

Male Height

18

69.667

3.308

0.780

(68.022, 71.312)

Female Height

17

67.059

3.112

0.755

(65.459, 68.659)

μ: mean of Male Height, Female Height

confidence interval for male height is wider because its standard error is large.

· Give and interpret the 99% confidence intervals for males and females on the HEIGHT variable. Which is wider and why?

Descriptive Statistics

Sample

N

Mean

StDev

SE Mean

99% CI for μ

Male Height

18

69.667

3.308

0.780

(67.407, 71.926)

Female Height

17

67.059

3.112

0.755

(64.854, 69.263)

μ: mean of Male Height, Female Height

confidence interval for male height is wider because its standard error is large.


Related Solutions

Give and interpret the 95% confidence intervals for males and a second 95% confidence interval for...
Give and interpret the 95% confidence intervals for males and a second 95% confidence interval for females on the SLEEP variable. Which is wider and why? Known values for Male and Female: Males: Sample Size = 17; Sample Mean = 7.765; Standard Deviation = 1.855 Females: Sample Size = 18; Sample Mean = 7.667; Standard Deviation = 1.879 Using t-distribution considering sample sizes (Male/Female count) are less than 30
Using the data down and interpret 95% confidence intervals for the mean age of an American...
Using the data down and interpret 95% confidence intervals for the mean age of an American truck driver.   This data represents a random sample of drivers in America. There are about 3.5 million truck drivers in the USA. Find:1- Sample Standard Deviation. 2- Sample Mean. 3- Sample size. 4- Standard error of the mean. 5-T-value. 6- Interval half-width. 7-Interval lower limit. 8- Interval upper limit  . Please use this data. Truck Drivers Employee Gender Age Total education years 1 M 30...
Construct and interpret 95% confidence intervals for the difference in mean pain intensity at 14 days...
Construct and interpret 95% confidence intervals for the difference in mean pain intensity at 14 days after treatment. (Use μVertebroplasty − μPlacebo. Round your answers to two decimal places.) -1.188 Correct: Your answer is correct. to .788 Correct: Your answer is correct. Interpret the interval. There is a 95% chance that the true mean pain intensity 14 days after treatment for the vertebroplasty treatment is directly in the middle of these two values. There is a 95% chance that the...
Calculate and interpret 90%, 95%, and 99% confidence intervals for both groups of approaches in question...
Calculate and interpret 90%, 95%, and 99% confidence intervals for both groups of approaches in question 5. Also provide 90%, 95%, and 99% confidence intervals for both groups when the sample size is increased from 10 to 150. Interpret all statistics. a. A random sample of 15 families representing three social classes has been observed for the frequency with which the parents administer physical punishment to the children over a period of a week. Are the differences significant? Use the...
how to interpret confidence intervals and how NOT to interpret them. What are the assumptions to...
how to interpret confidence intervals and how NOT to interpret them. What are the assumptions to justify the use of hypothesis testing? If the null hypothesis is rejected, what can we conclude? If we know that 60% of ASU students like the parking and 50% of the community as a whole likes the parking, and the difference between the sample and population are tested, with the null rejected, what do we conclude? Is the difference significant? Not significant? Are ASU...
Four risk differences and their 95% confidence intervals are shown below. Which of these is the...
Four risk differences and their 95% confidence intervals are shown below. Which of these is the most precise? A. -0.15 (-0.45, 0.15) B. -0.15 (-0.17, -0.13) C. -0.15 (-0.33, 0.03) D. -0.15 (-0.25, -0.05)
four risk differences and their 95% confidence intervals are shown below. which of these is most...
four risk differences and their 95% confidence intervals are shown below. which of these is most precise? A.) -0.15 (-0.25, 0.05) B.) -0.15 (-0.45, 0.15) C.) -0.15 (-0.17, -0.13) D.) -0.15 (-0.33, 0.03)
Purpose: • To create and interpret confidence intervals for the population proportion or population mean. •...
Purpose: • To create and interpret confidence intervals for the population proportion or population mean. • To do hypothesis testing on a population proportion or population mean. Due Date: Nov 27, 2018 at the beginning of class. What you must deliver: 1. Formulate a statistical hypothesis. 2. Develop a data production strategy. 3. Collect sample data. 4. Solutions to the questions (See below). 5. Reflection. Suggested ideas to consider: • Proportion of students at Cañada College who can raise one...
Use the following information to construct the confidence intervals specified to estimate μ. a. 95% confidence...
Use the following information to construct the confidence intervals specified to estimate μ. a. 95% confidence for x ¯ = 22, σ = 3.5, and n = 55 b. 98% confidence for x ¯ = 120.6, σ = 28.89, and n = 67 c. 90% confidence for x ¯ = 2.419, σ = 0.888, and n = 29 d. 80% confidence for x ¯ = 56.7, σ = 9.1, N = 500, and n = 47
Confidence Intervals (Proportions) 1 Find the margin of error and 95% confidence interval for the following...
Confidence Intervals (Proportions) 1 Find the margin of error and 95% confidence interval for the following surveys. Round all answers to 2 decimal places. (a) A survey of 500 people finds that 56% plan to vote for Smith for governor. Margin of Error (as a percentage): Confidence Interval: % to % (b) A survey of 1500 people finds that 47% support stricter penalties for child abuse. Margin of Error (as a percentage): Confidence Interval: % to % 2 Assume that...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT