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777dan777 [17]
3 years ago
12

What is the sum or product of 93+(68+7)

Mathematics
2 answers:
ser-zykov [4K]3 years ago
6 0
93+(68+7)

first do what's in the parentheses
(68+7)
68+7= 75

new problem: 93+75
93+75= 168

Answer is 168
Zarrin [17]3 years ago
3 0
93+(68+7) 

93+75

 
 

= 168
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Researchers recorded the speed of ants on trails in their natural environments. The ants studied, Leptogenys processionalis, all
posledela

This question is Incomplete

Complete Question

Researchers recorded the speed of ants on trails in their natural environments. The ants studied, Leptogenys processionalis, all have the same body size in their adult phase, which made it easy to measure speeds in units of body lengths per second (bl/s). The researchers found that, when traffic is light and not congested, ant speeds vary roughly Normally, with mean 6.20 bl/s and standard deviation 1.58 bl/s. (a) What is the probability that an ant's speed in light traffic is faster than 5 bl/s? You may find Table B useful. (Enter your answer rounded to four decimal places.)

Answer:

0.7762

Step-by-step explanation:

We solve using z score formula

z = (x-μ)/σ, where

x is the raw score

μ is the population mean

σ is the population standard deviation.

Population mean = 6.20 bl/s

Standard deviation = 1.58 bl/s.

x = 5 bl/s

z = 5 - 6.20/1.58

z = -0.75949

The probability that an ant's speed in light traffic is faster than 5 bl/s is P( x > 5)

Probability value from Z-Table:

P(x<5) = 0.22378

P(x>5) = 1 - P(x<5)

= 1 - 22378

= 0.77622

Approximately to 4 decimal places = 0.7762

The probability that an ant's speed in light traffic is faster than 5 bl/s is 0.7762

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3 years ago
PLEASE HELP!! I'll make brainliest ​
Gekata [30.6K]
Sorry people send you links instead of actually helping you
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They are all perfect squares
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Factorial design is the correct choice for the answer as an experimental design that permits statistical conclusions about two or more factors is a factorial design.

A factorial experiment is a type of research methodology that allows the study of main and interaction effects between two or more independent variables and on one or more outcome variables.

This is called a mixed factor experiment. For example, a researcher may choose to treat mobile phone use as a factor within a subject by testing the same participant with and without mobile phone use (the order of these two conditions). Balance).

Learn more about Factorial design here: brainly.com/question/9363521

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