Suppose that a new treatment is successful in curing a common ailment 66% of the time. If the treatment is tried on a random sample of 120 patients, approximate the probability that at most 81 will be cured. Use the normal approximation to the binomial with a correction for continuity. Round your answer to at least three decimal places. Do not round any intermediate steps. (If necessary, consult a list of formulas.) X $

The value for x2 will have an upper tail area of 0.05. There are k = 3 populations and k - 1 = 2 2 | degrees of freedom. Use a table or technology to find x.05- rounding the result to three decimal places. 2 X 0.05 =

The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting the first variable be the independent​ (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted​ value?   Chirps in 1 min 1152 836 1177 1094 914 1058   Temperature ​(degrees°​F) 85.1 71.9 85.2 88.1 77 83.2 What is the regression​ equation?   y =__+__ x   What is the predicted value? ^y=

Which command in R to get the coefficients of the regression line?

The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 1028 911 1103 1214 857 853 D Temperature ("F) 80.1 80.4 87.3 92.8 71.1 76.5

Save The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 776 1173 1034 951 975 1214 D Temperature (°F) 70.1 89 77.4 76.2 77 92.6 What is the regression equation? (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) Incorrec ary ns

The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting the first variable be the independent​ (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted​ value? Chirps in 1 min  1118  796  1161  918  1103  1219 Temperature (F)   82    72.2   92.2   73   87.5   94.4

Find the z-score corresponding to the given value and use the z-score to determine whether the value is significantly low or high.  Consider a score to be significantly low if its z-score is less than  or equal to -2.  Consider a z-score to be significantly high if it is greater than or equal to 2.  Round the z-score to the nearest tenth if necessary. A body temperature of 96.7° F given that human body temperatures have a mean of 98.20° F and a standard deviation of 0.62°.

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The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting the first variable be the independent​ (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute.   Use a significance level of 0.05. What is wrong with this predicted​ value?   Chirps in 1 min 888 910 1071 844 1039 1241   Temperature ​(°​F) 78.1 79.6 82.9 76.4 79.4 87.3   What is the regression​ equation? y=_______+_______x