Administrators at an auto assembling plant might want to analyze the mean finish time, ?, of a mechanical production system activity. The previous information demonstrate that the mean fruition time is 43 minutes, however the chiefs have motivation to accept that this worth has expanded. The directors intend to play out a measurable test.

In the wake of picking an irregular example of mechanical production system fruition times, the administrators process the example mean finishing time to be 45 minutes. The standard deviation of the number of inhabitants in culmination times can be expected not to have transformed from the recently revealed estimation of 6 minutes.

In view of this data, answer the inquiries underneath.

What are the invalid speculation (H0) and the option hypothesis(H1) that ought to be utilized for the test?

H0: ? is

not exactly

not exactly or equivalent to

more noteworthy than

more noteworthy than or equivalent to

not equivalent to

equivalent to

H1: ? is

not exactly

not exactly or equivalent to

more noteworthy than

more noteworthy than or equivalent to

not equivalent to

equivalent to

With regards to this test, what is a Type I mistake?

A Type I mistake is

dismissing

neglecting to dismiss

the theory that ? is

not exactly

not exactly or equivalent to

more prominent than

more prominent than or equivalent to

not equivalent to

equivalent to

when, indeed, ? is ?

not exactly

not exactly or equivalent to

more noteworthy than

more noteworthy than or equivalent to

not equivalent to

equivalent to

\30\

Assume that the administrators choose to dismiss the invalid theory. What kind of mistake may they make?

Type I

Type II

Accept the readings on thermometers are regularly conveyed with a mean of

0degreesC

also, a standard deviation of

1.00degreesC.

Discover the likelihood that a haphazardly chosen thermometer peruses more noteworthy than

negative 0.17

A medication screening test is utilized in an enormous populace of individuals of whom 4% really use drugs. Assume that the bogus positive rate is 3% and the bogus negative rate is 2%. In this way an individual who uses drugs tests positive for 98% of the time, and an individual who doesn't utilize drugs tests negative for 97% of the time. (Utilize Bayes' Theorem)

(a) What is the likelihood that an arbitrarily picked individual who tests positive for drugs really utilizes drugs?

(b) What is the likelihood that a haphazardly picked individual who tests negative for drugs doesn't utilize drugs?

ParFore made a site to showcase golf hardware and golf attire. The executives

might want an uncommon spring up proposal to show up for female site guests and an alternate

uncommon spring up proposal to show up for male site guests. From an example of past

site guests, ParFore's administration discovered that 60% of the guests are male and

40% are female.

a. What is the likelihood that a current guest to the site is female?

b. Assume 30% of ParFore's female guests recently visited the Dillard's Department

Store site and 10% of ParFore's male guests recently visited the Dillard's Department

Store site. In the event that the current guest to ParFore's site recently visited

the Dillard's site, what is the amended likelihood that the current guest is female?

Should the ParFore's site show the uncommon offer that advances to female guests

or on the other hand the exceptional offer that claims to male guests?

QUESTION B Select the techniques data scientist use when feature engineering Binning One-hot encoding Log transformation Outlier detection Multivariate analysis Exploratory data analysis QUESTION 9 What are the three types of descriptive methods data scientists use to explore data? Logistic regression Univariate analysis T-tests Bivariate analysis Multivariate analysis ANOVA QUESTION 10 When exploring the center, shape and spread of the data, data scientists analyze the data by exploring these measures: Mean, Median, Mode Interquartile range O Frequencies Multiple regressionMultivariate linear model Use vector notation to express the Consider the dataset below where a, multivariate linear model b and c are three predictors and y is the desired response. ai bi Ci yi 0 9 5 2 1 8 3 4 What are X and Y in the MMSE 2 5 6 exact solution w = (XTX) XTY? 3 6 3 8 4 5 5 10 A multivariate linear model for the response will be expressed as y = Wo + Waa + wob + WcC3. An iniportent distribution in the multivariate setting is the multivariate normal distribution. Let K be a random vector in El\". That is with X1, X2, . . . , X1, random variables. If X has a multivariate normal distribution, then its joint pdf is given by 1 1 _ ax):(Wwetmme 2e \")1": lacm} with parameters a, a. vector in R\