Emmy is testing 7 different insecticides on fire ants. For each test she chooses a type of insecticide and sprays an ant and watches how long it takes to die. Emmy's friends are scared of her. Assume that ant deaths are normally distributed and that each type of insecticide should have a different standard deviation for ant deaths. Based on the data below finish the hypothesis test. Insecticide name Number of Std Dev (for ants) Mean time (to die)
ants
Exnm 16 6.1 1047.1
Dribesescrip 7 5.2 1050.3
Torfacrula 19 16.4 1049.1
Selbidrecin 14 5.6 1048
Tesqualxagay 5 9 1046.6
Megadne 21 7.4 1045.7
Dogfambol 16 4.1 1049.9
Assuming normality and equal variances perform a hypothesis test.

step-by-step explanation:

y = | -2(-2) |     →     y = | 4 |     →     y = 4       ⇒   (-2, 4)

y = | -2(-1) |     →     y = | 2 |     →       y =   2       ⇒   (-1, 2)    

y = | -2(0) |     →     y = | 0 |     →       y = 0         ⇒   (0, 0)

y = | -2(1) |   c →     y = | -2 |     →     y =   2         ⇒   (1, 2)    

y = | -2(2) |     →     y = | - 4 |     →     y =   4         ⇒   (2, 4)  

i agree because i see the other persons thinking is clear

answer: 33 ( approx)

step-by-step explanation:

since, in the linear regression formula, the slope is the a in the equation y = b + ax ( by comparing it with the general equation of line y = mx + c )

where,

here given table is,

price ($), x   :           18         23       25       29       30       33

pairs sold, y :         16         13         10       8         6       2

so, ,   ,   ,

and   ,

thus, slop of the given line is,

⇒  

⇒   ≈ 33

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step-by-step explanation:

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