Test 3 Review<\/p>\n
The procedure for using a normal distribution to approximate a _____ distribution includes a _________ correction<\/p>\n
Continuity correction represents _______ whole number x by the interval ______<\/p>\n
In 431 NFL Games that went into overtime 200 teams that won the coin toss won the game. Find the P( Atleast 200 wins)n =p = <\/p>\n
Can we calculate question 3 with Binomial Probability formula? Why or why not? <\/p>\n
What are the requirement checks for question #3? (Normal Distribution as approximate to the Binomial Distribution)<\/p>\n
If the requirements for question 3 are met, then <\/p>\n
\u00b5 = np and \u03c3 = square root of ( npq)<\/p>\n
In 431 NFL Games that went into overtime 200 teams that won the coin toss won the game. Is the coin toss fair? What are the requirements of np <\/p>\n
np\u2265 5 and nq \u2265 5 where n is the total number of observations, p = success, and q= failure<\/p>\n
If you find that np and nq are 5 or more then what does that mean? <\/p>\n
\u00b5 = np and \u03c3 = npq explain<\/p>\n
Find P(Exactly 200 wins) <\/p>\n
What is a critical value? What is Za2? Question from pg 322<\/p>\n
Find the Critical Value of Za2? <\/p>\n
Confidence Level (CL) Alpha Critical Value Za290% .10 1.645<\/p>\n
95% .05 1.96<\/p>\n
99% .01 2.575<\/p>\n
From pg 325<\/p>\n
A Reuters poll of 1007 randomly selected adults show that 93% of them know twitter. <\/p>\n
n= p=<\/p>\n
Find the margin of Error, E, with 90% CLE = ( Za2) (Sqrt ( pq\/n))<\/p>\n
Find 90% CI estimate of the population proportion p: p-E < p < P+E<\/p>\n
Based on the results above, can we conclude that more than 90% of adults know twitter<\/p>\n
Questions 16 and 17 are related pg 328<\/p>\n
Google hires you to find how many people buy tutoring services online. How many adults need to be surveyed for 99% CL that sample is no more than 4%<\/p>\n
n= ((Za2) ^2 (p)(q)\/ (E)^2 or n= ((Za2) ^2 (.25)\/ (E)^2 <\/p>\n
Census reveals 65% use tutoring service onlinep=q= Za2 =<\/p>\n
No prior data given. How do you find n? <\/p>\n
pg 337<\/p>\n
When estimating population mean with \u03c3 (sigma) not known. You follow two requirement<\/p>\n
And <\/p>\n
Pg 339<\/p>\n
A sample of size n= 15 selected from normal distribution population find Critical Value ta2 corresponding to 99% CL. <\/p>\n
Pg 341 <\/p>\n
Highway speeds of 60 50 85 70 80 40 80 construct a 99 CI, if the speed limit is 65 mph, df =n-1E= ta2 ( s\/(sqrt(n)) s= 4.1 <\/p>\n
Pg 348<\/p>\n
When do you choose t vs Z distribution?<\/p>\n
A.<\/p>\n
D<\/p>\n
Pg 253<\/p>\n
How do you convert Nonstandard Normal Distribution to a standard Normal Distribution ?Z=(x-\u00b5)\/ \u03c3)<\/p>\n
There is a 71-inch-tall requirement to enter a club. If the sample mean is 60.3 and the standard deviation is 2.6 in. Find the percent of women who satisfy this requirement. <\/p>\n
Because ___ is rarely known, the confidence interval estimates of ____ almost _____ use the t distribution instead of the normal distribution<\/p>\n
\u03c3, \u00b5, always<\/p>\n
t distribution properties: <\/p>\n
As the sample size of n gets ______ the student t distribution gets closer to ______<\/p>\n
Larger, normal distribution<\/p>\n
Standard deviation varies with sample sizes, but is >1 (t- distribution), unlike the normal distribution Sigma = 1. <\/p>\n","protected":false},"excerpt":{"rendered":"
Test 3 Review The procedure for using a normal distribution to approximate a _____ distribution includes a _________ correction Continuity<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-41047","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"\n