Answer:
Type I error occurs when the null hypothesis, H0, is rejected, although it is true.
Here the null hypothesis, H0 is:
H0: Setting weekly scheduled online interactions will boost the well being of people who are living on their own during the stay at home order.
a) A Type I error would be committed if the researchers conclude that setting weekly scheduled online interactions will not boost the well being of people who are living on their own during the stay at home order, but in reality it will
b) Two factors affecting type I error:
1) When the sample size, n, is too large it increases the chances of a type I error. Thus, a sample size should be small to decrease type I error.
2)A smaller level of significance should be used to decrease type I error. When a larger level of significance is used it increases type I error.
(-2x+4)+2(2x+1)= -2(-x-3)
Answer:
11
Step-by-step explanation:
Rasida ran 27 miles total. she ran 5 more miles than double what Diallo ran.
27-5=22
Now divide 22 by 2 to get how many miles Diallo ran.
Answer:

Step-by-step explanation:
Considering the expression

Solution Steps:

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so


join 
so






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Therefore

Answer:
now just half the first triangals answers
Step-by-step explanation:
x =21
y=24
<u>TH</u>=24 <u>PQ</u>=12
<u>RH</u>=24 <u>NQ</u>=12
<u>RT</u>=21 <u>NP</u>=10.5
>T=80 >P=80
>H=20 >Q=20
>R=80 >N=80