**Morning and Evening Height Difference Study**It is widely accepted that people are a little taller in the morning than at night. Here, we perform a test on how big the difference is. In a sample of 35 adults, the mean difference between morning height and evening height was 5.9 millimeters (mm) with a standard deviation of 2.90955 mm. Test the claim that, on average, people are more than 5 mm taller in the morning than at night. Test this claim at the 0.05 significance level.(a) Find the test statistic.- [Input box for answer](b) Find the critical value.- [Input box for answer]

Sample size n=35Sample mean=5.9Standard deviation=2.90955

Answered: is widely accepted that people are a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A group of adult males has foot lengths with a mean of 28.43 cm and a standard deviation of 1.13 cm. Use the range rule of thumb for identifying significant values to identify the limits separating values that are significantly 25.7 cm significantly low or significantly high? Explain. Significantly low values are cm or lower. (Type an integer or a decimal. Do not round.) Significantly high values are cm or higher. (Type an integer or a decimal. Do not round.) Select the correct choice below and fill in the answer box(es) to complete your choice. O A. The adult male foot length of 25.7 cm is significantly high because it is greater than cm (Type an integer or a decimal. Do not round.) O B. The adult male foot length of 25.7 cm is not significant because it is between (Type integers or decimals. Do not round.) cm and O C. The adult male foot length of 25.7 cm is significantly low because it is less than cm (Type an integer or a decimal. Do not round.) cm C or significantly high. Is the…
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway per hour and 85 miles per hour. (Assume the data set has a bell-shaped distribution.) 70 miles per hour, with a standard deviation of 5 miles per hour. Estimate the percent of vehicles whese speeds are between 55 miles Approximately% of vehicles travel between 55 miles per hour and 85 miles per hour.
number 7 and 8 pls
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 68 miles per hour, with a standard deviation of 3 miles per hour. Estimate the percent of vehicles whose speeds are between 65 miles per hour and 71 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately nothing% of vehicles travel between 65 miles per hour and 71 miles per hour.
The average production cost for major movies is 66 million dollars and the standard deviation is 18 million dollars. Assume the production cost distribution is normal. Suppose that 50 randomly selected major movies are researched. Answer the following questions. Give your answers in millions of dollars, not dollars. Round all answers to 4 decimal places where possible.
Interpret the result and explain whether there is a significant gender difference. student ID s12042516 as the case. w=6
please show work.
please only answer 7.1
Please include the given for each letter.
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The mean weights for medium navel oranges is 9.8 ounces. Suppose that the standard deviation for the oranges is 3.3 ounces. Which would be more likely, an orange weighing 14 ounces or an orange weighing 4.9 ounces? Explain. Choose the best answer below: A. A 4.9 ounce orange is more likely (z = 1.48) compared with an orange weighing 14 ounces (z = 4.24). B. A 4.9 ounce orange is more likely (z = -1.48) compared with an orange weighing 14 ounces (z = 1.27). C. A 14 ounce orange is more likely (z = -1.48) compared with an orange weighing 4.9 ounces (z = 1.27). D. A 4.9 ounce orange is more likely (z = 1.27) compared with an orange weighing 14 ounces (z = -1.48). E. A 14 ounce orange is more likely (z = 1.27) compared with an orange weighing 4.9 ounces (z = -1.48).

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