he Acme Company manufactures widgets. The istribution of widget weights is bell-shaped. The vidget weights have a mean of 46 ounces and a tandard deviation of 8 ounces. Ise the Standard Deviation Rule, also known as ne Empirical Rule. uggestion: sketch the distribution in order to nswer these questions. ) 68% of the widget weights lie between and ) What percentage of the widget weights lie etween 22 and 54 ounces? % O What percentage of the widget weights lie elow 62 ? %
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- The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 36 ounces and a standard deviation of 7 ounces.Use the Empirical Rule, also known as the 68-95-99.7 Rule. Do not use Tables or Technology to avoid rounding errors.Suggestion: sketch the distribution in order to answer these questions.a) 68% of the widget weights lie between and b) What percentage of the widget weights lie between 15 and 43 ounces? %c) What percentage of the widget weights lie above 22 ? I dont know how to solve this problemThe Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 36 ounces and a standard deviation of 10 ounces. Use the Standard Deviation Rule, also known as the Empirical Rule. Suggestion: sketch the distribution in order to answer these questions. a) 68% of the widget weights lie between and b) What percentage of the widget weights lie between 16 and 46 ounces? c) What percentage of the widget weights lie below 66 ? Ouortion Holn: DlidonHELP PLEASE!! Thank you :) Options for C. And D. C. 1. Private/Public 2. Standard deviation of / Mean. 3. Smaller/Larger D. 1. Private/public. 2. Standard deviation of/Mean. 3. Larger/Smaller
- The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 42 ounces and a standard deviation of 6 ounces. Use the Standard Deviation Rule, also known as the Empirical Rule. Suggestion: sketch the distribution in order to answer these questions. a) 68% of the widget weights lie between and b) What percentage of the widget weights lie between 30 and 48 ounces? % c) What percentage of the widget weights lie above 24 ?The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 51 ounces and a standard deviation of 8 ounces.Use the Empirical Rule.Suggestion: sketch the distribution in order to answer these questions.a) 68% of the widget weights lie between and b) What percentage of the widget weights lie between 35 and 59 ounces? %c) What percentage of the widget weights lie below 75 ? %The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 37 ounces and a standard deviation of 6 ounces. Use the Standard Deviation Rule, also known as the Empirical Rule (see image below). Do not use normalcdf on your calculator. Suggestion: sketch the distribution in order to answer these questions. a) 99.7% of the widget weights lie between b) What percentage of the widget weights lie between 25 and 55 ounces? c) What percentage of the widget weights lie below 43 ? 0.15% -3s 2.35% 13.5% -15 Submit Question 34% 34% 0 1s 13.5% 2s 2.35% 3s 0.15% Question Help: Video Written Example Message instructor and % %
- The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 50 ounces and a standard deviation of 4 ounces. Use the Standard Deviation Rule, also known as the Empirical Rule (see image below). Do not use normalcdf on your calculator. Suggestion: sketch the distribution in order to answer these questions. a) 95% of the widget weights lie between and b) What percentage of the widget weights lie between 46 and 58 ounces? c) What pagcentage of the widget weights lie below 62 ? % 34% 34% 2.35% 13.5% 2.35% 0.15% 13.5% -35 25 0.15% -1s 1s 25The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 46 ounces and a standard deviation of 9 ounces. Use the Standard Deviation Rule, also known as the Empirical Rule (see image below). Do not use normalcdf on your calculator. Suggestion: sketch the distribution in order to answer these questions. a) 99.7% of the widget weights lie between b) What percentage of the widget weights lie between 37 and 73 ounces? c) What percentage of the widget weights lie above 28? 0.15% -3s 2.35% -25 13.5% -1s 34% 34% 1s 13.5% 2s 2.35% 3s and 0.15% % %The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 42 ounces and a standard deviation of 5 ounces. Use the Empirical Rule. Suggestion: sketch the distribution in order to answer these questions. a) 68% of the widget weights lie between and b) What percentage of the widget weights lie between 27 and 47 ounces? % c) What percentage of the widget weights lie below 52 ?
- The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 58 ounces and a standard deviation of 6 ounces. Use the Standard Deviation Rule, also known as the Empirical Rule (see image below). Do not use normalcdf on your calculator. Suggestion: sketch the distribution in order to answer these questions. a) 99.7% of the widget weights lie between and b) What percentage of the widget weights lie between 52 and 76 ounces? % c) What percentage of the widget weights lie above 46 ? 34% 34% 2.35%, 13.5% 13.5% 2.35% 0.15% „0.15% -3s -2s -1s 1s 3sThe Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 64 ounces and a standard deviation of 3 ounces. Use the Standard Deviation Rule, also known as the Empirical Rule. Suggestion: sketch the distribution in order to answer these questions. a) 95% of the widget weights lie between oz and b) What percentage of the widget weights lie between 55 and 70 ounces? % c) What percentage of the widget weights lie below 67 ? %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…