Answer:
me name mort am swag
Step-by-step explanation: me my mom. she say help the noob. am no help you. doodoo pants.
Answer:
Step-by-step explanation:
Given that evolution theory hypothesizes that people should spontaneously follow a 24-hour cycle of sleeping and wakingdash–even if they are not exposed to the usual pattern of sunlight.
Sample size n = 8
df = 8- 1=7
Since population std deviation is not known, and sample size is small we can use only t test
(two tailed test at 5% level of significance)
24
28
24
22
25
26
26
25
mean 25
sd 3.142857143
se 1.111167799
Test statistic = Mean diff/se = 1.595
p = 0.1546
since p >0.05, accept null hypothesis.
There is no evidence to prove that the steady cycle is different from 24 hours.
Answer:
Option B.
Step-by-step explanation:
We need to find the circle that has a central angle that measures 40°.
In all options, the center of circle is U. It means central angle must be on center, i.e., U.
In option A,the angle VXZ is at point X which is not the center. So, angle VXZ is not a central angle.
In option B,the angle VUZ is at point U which is the center. So, angle VUZ is a central angle with measure 40°.
In option C,the angle XZV is at point Z which is not the center. So, angle XZV is not a central angle.
In option D,the angle VXZ is at point X which is not the center. So, angle VXZ is not a central angle.
Therefore, the correct option is B.
Answer:e. The sampling distribution of the difference in sample proportion is approximately normal.
Step-by-step explanation:
(200) (0.06) >= 10
(200) (0.94) >=10
(197)(0.086) >=10
(197)(0.914) >= 10
We test the sample proportions of it is normal :
Deer population 1:
Sample size, n1 = 200
Proportion, p1 = 0.06
q = 1 - p = 1 - 0.06 = 0.94
n1 * p = 200 * 0.06 = 12
n1 * q = 200 * 0.94 = 188
Deer population 2:
Sample size, n2 = 197
Proportion, p = 0.086
q = 1 - p = 1 - 0.086 = 0.914
n2 * p = 197 * 0.086 = 16.94
n2 * q = 197 * 0.914 = 180.06
Since for samples and proportions ;
n*p and nq ≥ 10 ;
We cm conclude that the sampling distribution of the difference in sample mean is appropriately normal.
