Answer:
Read the sentence below, which appears in the brochure “Nanotechnology: Big Things from a Tiny World.” As you read, look for context clues that could help you define any scientific terms.
Scientists have also developed sensors to measure pesticide levels in the field, allowing farmers to use less while still protecting their plants.
According to the context clues provided by the author, what is a pesticide?
Group of answer choices
Step-by-step explanation:
Read the sentence below, which appears in the brochure “Nanotechnology: Big Things from a Tiny World.” As you read, look for context clues that could help you define any scientific terms.
Scientists have also developed sensors to measure pesticide levels in the field, allowing farmers to use less while still protecting their plants.
According to the context clues provided by the author, what is a pesticide?
Group of answer choices
Y= (1/2)^x hope this helps :)
add them both then you get the awnser if the four is not a negative. if the four is a negative use division.
Answer:
They went up 16 levels.
Step-by-step explanation:
You can find that by finding the distance from -2 to 14.
To find the distance from two numbers, 
and 
, we can substitute both in the formula 
, where d is the distance between them.
Answer:
At least one of the population means is different from the others.
Step-by-step explanation:
ANOVA is a short term or an acronym for analysis of variance which was developed by the notable statistician Ronald Fisher. The analysis of variance (ANOVA) is typically a collection of statistical models with their respective estimation procedures used for the analysis of the difference between the group of means found in a sample. Simply stated, ANOVA helps to ensure we have a balanced data by splitting the observed variability of a data set into random and systematic factors.
In Statistics, the random factors doesn't have any significant impact on the data set but the systematic factors does have an influence.
Basically, the analysis of variance (ANOVA) procedure is typically used as a statistical tool to determine whether or not the mean of two or more populations are equal through the use of null hypothesis or a F-test.
Hence, the null hypothesis for an ANOVA is that all treatments or samples come from populations with the same mean. The alternative hypothesis is best stated as at least one of the population means is different from the others.
