The answer would be — m>/-3
——the arrow is pointing to all numbers larger than -3, including -3
Answer:
13 pounds
Step-by-step explanation:
205-192=13
Answer:

And we can use the normal standard distribution table or excel and with the complement ruler we got:

Step-by-step explanation:
We know the following info given:
represent the true mean
represent the population deviation
represent the sample size selected
Since the sample size is large enough (n>30) we can use the central limit theorem and the sample mean would have the following distribution:

And for this case we want to find this probability:

And we can use the z score formula given by:

And replacing we got:

And we can use the normal standard distribution table or excel and with the complement ruler we got:

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Answer:
Product is the answer of two numbers that are multiplied together.
3 x 3=9
Step-by-step explanation: