Answer:
<h2><u><em>The function basically returns the same objects (= does nothing). This could also be written explicitly as a named function. new Function <- function(x) { x } which would then be. cross val <- function(data, lambda=0, y trans = new Function) This is the default value, like in lambda=0, except the default value is a function itself.</em></u></h2><h2><u>
brainlist plz </u></h2>
Step-by-step explanation:
Answer:
what does -4,-3,-2,-1 implies?
Answer:
-1
Step-by-step explanation:
Step-by-step explanation:
sinx=20/36
x=sin-¹20/36
x=34
Answer:

p-value: 0.0367
Decision: Reject H₀
Step-by-step explanation:
Hello!
Hypothesis to test:
H₀:ρ₁-ρ₂=0
H₁:ρ₁-ρ₂>0
The statistic to use to test the difference between two population proportions is the approximation of Z
Z=<u> (^ρ₁-^ρ₂)-(ρ₁-ρ₂) </u> ≈N(0;1)
√ (<u>^ρ₁(1-^ρ₁))/n₁)+(^ρ₂(1-^ρ₂)/n₂))</u>
Z=<u> (0.28-0.15)-0 </u>= 1.79
√ (<u>0.28(1-0.28)/200)+(0.15(1-0.15)/300)</u>
p-value
Remember: The p-value is defined as the probability corresponding to the calculated statistic if possible under the null hypothesis (i.e. the probability of obtaining a value as extreme as the value of the statistic under the null hypothesis).
P(Z>1.79)= 0.0367
Conclusion:
Comparing the p-value against the significance level, you can decide to reject the null hypothesis.
I hope you have a SUPER day!