Answer:
93-96 3
97-100 3
101-104 4
105-108 4
109-112 2
histogram you fill in 3 bars, 3 bars, 4 bars, 4 bars, 2 bars
Step-by-step explanation:
Answer:
The answer is below
Step-by-step explanation:
Shoppers at a mall have a mean weight of 70 kg with a standard deviation of 10 kg. An elevator at the mall holds a maximum of 6 people, and safety engineers are curious about the average weight of shoppers on a full elevator. Suppose that we take random samples of 6 shoppers and calculate the mean weight x ˉ on top of the shoppers in each sample.
Solution:
Let variable x represent the weight of a shopper at the mall.
Assuming this variable has a normal distribution with mean μ= 70kg and standard deviation σ = 10kg.
There are random samples of 6 shoppers. That is sample size (n) = 6
The mean of the sample (μₓ) is the same as the mean of the population (μ), hence:
μₓ = μ = 70 kg
The standard deviation of the sample (σₓ) is equal to the standard deviation of the population (σ) divided by the square root of the sample size (n).. Hence:
σₓ = σ / √n = 10 / √6 = 4.08 kg
Answer: 36:60
Step-by-step explanation:
3x20=60,3x12=36
Answer:
From standard tables, the p-value for a test statistic of z* = -1.63 is 0.0516.
This p-value is for a one-tailed test (the shaded left portion) of the curve shown in the figure below.
For a two-tailed test, the p-value = 2*0.0516 = 0.1031.
Explanation:
The p-value is used to test a claim made in a null hypothesis.
If the p-value is small (< 0.05) the claim made in the null hypothesis is rejected as being unlikely.
If the p-value is large (> 0.05), the evidence against the claim is weak, and the conclusion is to fail to reject the hypothesis.
If the p-value is equal to the cutoff (say, 0.05), it s uncertain to draw a conclusion.