Q1) Given below are actual high temperatures and high temperatures which were predicted one day earlier. Using 5% significance level, is there statistically enough evidence to support claim that forecast temperatures were above actual high temperatures, therefore giving evidence that weatherman is consistently wrong in her forecast? Carry out suitable hypothesis test showing essential statistical evidence to support your final given conclusion.
|
Actual High
|
Predicted High
|
|
80
|
78
|
|
77
|
74
|
|
81
|
79
|
|
85
|
85
|
|
73
|
68
|
We are also interested in evaluating population standard deviation, sigma (σ). We will again suppose that selling prices are close to being normally distributed. selling prices from sixteen PDA's are given below.
|
250
|
249
|
255
|
199
|
240
|
228
|
255
|
232
|
|
246
|
210
|
225
|
246
|
240
|
245
|
225
|
246
|
Out to right, create a 90% confidence interval estimate of sigma (σ), population standard deviation.